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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://data.pmel.noaa.gov/generic/erddap/tabledap/argoFloats.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/argoFloats https://data.pmel.noaa.gov/generic/erddap/tabledap/argoFloats.graph https://data.pmel.noaa.gov/generic/erddap/files/argoFloats/ Argo Float Vertical Profiles Argo float vertical profiles from Coriolis Global Data Assembly Centres\n(GDAC). Argo is an international collaboration that collects high-quality\ntemperature and salinity profiles from the upper 2000m of the ice-free\nglobal ocean and currents from intermediate depths. The data come from\nbattery-powered autonomous floats that spend most of their life drifting\nat depth where they are stabilised by being neutrally buoyant at the\n\"parking depth\" pressure by having a density equal to the ambient pressure\nand a compressibility that is less than that of sea water. At present there\nare several models of profiling float used in Argo. All work in a similar\nfashion but differ somewhat in their design characteristics. At typically\n10-day intervals, the floats pump fluid into an external bladder and rise\nto the surface over about 6 hours while measuring temperature and salinity.\nSatellites or GPS determine the position of the floats when they surface,\nand the floats transmit their data to the satellites. The bladder then\ndeflates and the float returns to its original density and sinks to drift\nuntil the cycle is repeated. Floats are designed to make about 150 such\ncycles.\nData Management URL: http://www.argodatamgt.org/Documentation\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\nfileNumber (File Number)\ndata_type\nformat_version (File format version)\nhandbook_version (Data handbook version)\nreference_date_time (Date of reference for Julian days, seconds since 1970-01-01T00:00:00Z)\ndate_creation (Date of file creation, seconds since 1970-01-01T00:00:00Z)\ndate_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)\nplatform_number (Float unique identifier)\nproject_name (Name of the project)\npi_name (Name of the principal investigator)\n... (37 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/argoFloats_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/argoFloats_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/argoFloats/index.htmlTable http://www.argo.net/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/argoFloats.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=argoFloats&showErrors=false&email= Argo argoFloats
https://data.pmel.noaa.gov/generic/erddap/griddap/sal_1fde_fec2_c12c https://data.pmel.noaa.gov/generic/erddap/griddap/sal_1fde_fec2_c12c.graph https://data.pmel.noaa.gov/generic/erddap/wms/sal_1fde_fec2_c12c/request ARGO gridded Salinity data ARGO gridded Salinity data\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][PRESSURE][latitude][longitude]):\nARGO_SALINITY_ANOMALY (ARGO SALINITY ANOMALY defined by Jan 2004 - Dec 2015 (12.0 year) RG CLIMATOLOGY, PSU)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sal_1fde_fec2_c12c_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sal_1fde_fec2_c12c_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sal_1fde_fec2_c12c/index.htmlTable ??? https://data.pmel.noaa.gov/generic/erddap/rss/sal_1fde_fec2_c12c.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sal_1fde_fec2_c12c&showErrors=false&email= UCSD/Scripps sal_1fde_fec2_c12c
https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle.graph https://data.pmel.noaa.gov/generic/erddap/files/cchdo_bottle/ CCHDO GO SHIP bottle data CCHDO GO SHIP bottle data from netcdf\n\ncdm_data_type = Profile\nVARIABLES:\nprofile_id (Unique Profile ID)\nexpocode\nsection_id\nline_id\nstation\ncast\nsample\nbottle_number\nbottle_number_qc (Status Flag)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Sea Floor Depth Below Sea Surface, m)\npressure (Sea Water Pressure, dbar)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_temperature_qc (Status Flag)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nbottle_salinity (Sea Water Practical Salinity, 1)\nbottle_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen_ml_l_qc (Status Flag)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\noxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\n... (183 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/cchdo_bottle_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/cchdo_bottle_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/cchdo_bottle/index.htmlTable https://cchdo.ucsd.edu/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/cchdo_bottle.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=cchdo_bottle&showErrors=false&email= CCHDO cchdo_bottle
https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd.graph https://data.pmel.noaa.gov/generic/erddap/files/cchdo_ctd/ CCHDO GO SHIP ctd data CCHDO GO SHIP ctd data from netcdf files\n\ncdm_data_type = Profile\nVARIABLES:\nexpocode\nstation\ncast\nsample\ntime (seconds since 1970-01-01T00:00:00Z)\nprofile_id (Unique Profile ID)\nlatitude (degrees_north)\nlongitude (degrees_east)\npressure (Sea Water Pressure, dbar)\nctd_pressure_raw (Sea Water Pressure)\nctd_pressure_raw_qc (Status Flag)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_unk_qc (Status Flag)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nctd_absolute_salinity (Sea Water Absolute Salinity)\nctd_absolute_salinity_qc (Status Flag)\nctd_conservative_temperature (Sea Water Conservative Temperature, degree_C)\nctd_conservative_temperature_qc (Status Flag)\nctd_sound_velocity_salinity\nctd_sound_velocity_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\nctd_oxygen_umol_l_qc (Status Flag)\n... (49 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/cchdo_ctd_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/cchdo_ctd_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/cchdo_ctd/index.htmlTable https://cchdo.ucsd.edu/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/cchdo_ctd.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=cchdo_ctd&showErrors=false&email= CCHDO cchdo_ctd
https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196 https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196.graph Data from a local source. Data from a local source.\n\ncdm_data_type = Profile\nVARIABLES:\nprofile_id (Unique Profile ID)\nexpocode\nstation\ncast\nsample\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\npressure (Sea Water Pressure, dbar)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_unk_qc (Status Flag)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature_68_qc (Status Flag)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_temperature_qc (Status Flag)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen_ml_l_qc (Status Flag)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_qc (Status Flag)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\nctd_oxygen_umol_l_qc (Status Flag)\nctd_fluor (Mass Concentration Of Chlorophyll In Sea Water)\nctd_fluor_qc (Status Flag)\nctd_fluor_arbitrary\nctd_fluor_arbitrary_qc (Status Flag)\n... (31 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/ctd_0e4d_0f30_7196_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/ctd_0e4d_0f30_7196_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/ctd_0e4d_0f30_7196/index.htmlTable ??? https://data.pmel.noaa.gov/generic/erddap/rss/ctd_0e4d_0f30_7196.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=ctd_0e4d_0f30_7196&showErrors=false&email= ??? ctd_0e4d_0f30_7196
https://data.pmel.noaa.gov/generic/erddap/tabledap/dbcp_mooring_metadata.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/dbcp_mooring_metadata https://data.pmel.noaa.gov/generic/erddap/tabledap/dbcp_mooring_metadata.graph DBCP mooring metadata example DBCP mooring metadata example\n\ncdm_data_type = Other\nVARIABLES:\nODAS_abbrev\ncreate (Metadata Record Create Date, seconds since 1970-01-01T00:00:00Z)\nupdate (Metadata Record Update Date, seconds since 1970-01-01T00:00:00Z)\nmsd (seconds since 1970-01-01T00:00:00Z)\nmed (seconds since 1970-01-01T00:00:00Z)\nID\nWMOn\nstn\nts\nstat (Static Stability)\nind\noed\npdepl\ncnty\nragy\nLat (Latitude, degrees_north)\nLon (Longitude, degrees_east)\nWC\ngps\nHult\nHulMS (Hul MS)\nHulMat (Hul Mat)\nbattType (Batt Type)\nvolt\nlngth\nBrth\nDiam\n... (226 more variables)\n https://data.pmel.noaa.gov/generic/erddap/info/dbcp_mooring_metadata/index.htmlTable ??? https://data.pmel.noaa.gov/generic/erddap/rss/dbcp_mooring_metadata.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=dbcp_mooring_metadata&showErrors=false&email= DBCP dbcp_mooring_metadata
https://data.pmel.noaa.gov/generic/erddap/tabledap/ego.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/ego https://data.pmel.noaa.gov/generic/erddap/tabledap/ego.graph EGO Glider Data Argo float vertical profile. CORIOLIS data from a local source.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\nDATA_TYPE\nFORMAT_VERSION (File format version)\nHANDBOOK_VERSION (Data handbook version)\nREFERENCE_DATE_TIME (Date of reference for Julian days)\nDATE_CREATION (Date of file creation)\nDATE_UPDATE (Date of update of this file)\nPLATFORM_NUMBER (Float unique identifier)\nPROJECT_NAME (Name of the project)\nPI_NAME (Name of the principal investigator)\nCYCLE_NUMBER (Float cycle number)\nDIRECTION (Direction of the station profiles)\nDATA_CENTRE (Data centre in charge of float data processing)\nDC_REFERENCE (Station unique identifier in data centre)\nDATA_STATE_INDICATOR (Degree of processing the data have passed through)\nDATA_MODE (Delayed mode or real time data)\nINST_REFERENCE (Instrument type)\nFIRMWARE_VERSION (Instrument firmware version)\nWMO_INST_TYPE (Coded instrument type)\ntime (Julian day (UTC) of the station relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nJULD_QC (Quality on date and time)\nJULD_LOCATION (Julian day (UTC) of the location relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of the station, best estimate, degrees_north)\nlongitude (Longitude of the station, best estimate, degrees_east)\nPOSITION_QC (Quality on position (latitude and longitude))\nPOSITIONING_SYSTEM\nPROFILE_CHLA_QC (Global quality flag of CHLA profile)\nPROFILE_CNDC_QC (Global quality flag of CNDC profile)\n... (41 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/ego_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/ego_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/ego/index.htmlTable http://www.argodatamgt.org/Documentation (external link) https://data.pmel.noaa.gov/generic/erddap/rss/ego.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=ego&showErrors=false&email= CORIOLIS ego
https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990 https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.graph International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Arctic Subset from 1990 - 1999 This file contains ICOADS R3.0.0 data in netCDF4 format collected from 1999-12-01T00:00:00Z to 1999-12-31T23:58:47Z. The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) offers surface marine data spanning the past three centuries, and simple gridded monthly summary products for 2-degree latitude x 2-degree longitude boxes back to 1800 (and 1degreex1degree boxes since 1960)--these data and products are freely distributed worldwide. As it contains observations from many different observing systems encompassing the evolution of measurement technology over hundreds of years, ICOADS is probably the most complete and heterogeneous collection of surface marine data in existence.\n\ncdm_data_type = Point\nVARIABLES:\nrow\ntime (seconds since 1970-01-01T00:00:00Z)\ndate (date in YYYYMMDD)\ncrs\nHR (Hour)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTI (Time Indicator)\nLI (Latitude Longitude Indicator)\nDS (Ship's Course)\nVS (Ship's Speed)\nNID\nII (Identification Indicator)\nID (Identification)\nC1 (Country Code)\nDI (Wind Direction Indicator)\nD (Wind Direction, degrees)\nWI (Wind Speed Indicator)\nW (Wind Speed  , m/s)\nVI (Visibility Indicator)\n... (185 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/icoads_arctic_subset_1990_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/icoads_arctic_subset_1990_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/icoads_arctic_subset_1990/index.htmlTable http://rda.ucar.edu/datasets/ds548.0/docs/R3.0-citation.pdf (external link) https://data.pmel.noaa.gov/generic/erddap/rss/icoads_arctic_subset_1990.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=icoads_arctic_subset_1990&showErrors=false&email= NCEI, NOAA icoads_arctic_subset_1990
https://data.pmel.noaa.gov/generic/erddap/tabledap/malizia https://data.pmel.noaa.gov/generic/erddap/tabledap/malizia.graph Malizia Yacht data Malizia Yacht data\n\ncdm_data_type = Other\nVARIABLES:\nwmo_platform_code\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTWS (True Wind Speed, m/s)\nTWD (True Wind Direction, degrees)\nAir_Temp (degrees_c)\nBaro_Pressure (hPa)\nSalinity (Sea Water Practical Salinity, PSU)\nWater_Temp (degrees_c)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/malizia_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/malizia_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/malizia/index.htmlTable https://www.borisherrmannracing.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/malizia.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=malizia&showErrors=false&email= https://www.borisherrmannracing.com/ (external link) malizia
https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles.graph https://data.pmel.noaa.gov/generic/erddap/files/MEOP_profiles/ meop animal profiles meop animal profiles. meop data from a local source.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ndeployment_code\nwmo_platform_code\nsmru_platform_code\nspecies (Species type)\nDATA_TYPE\nFORMAT_VERSION\nHANDBOOK_VERSION\nREFERENCE_DATE_TIME\nDATE_CREATION\nDATE_UPDATE (Date of update of this file)\nPLATFORM_NUMBER (Float unique identifier)\nPROJECT_NAME\nPI_NAME\nCYCLE_NUMBER (Float cycle number, 1)\nDIRECTION (Direction of the station profiles)\nDATA_CENTRE (Data centre in charge of float data processing)\nDC_REFERENCE (Station unique identifier in data centre)\nDATA_STATE_INDICATOR (Degree of processing the data have passed through)\nDATA_MODE (Delayed mode or real time data)\nINST_REFERENCE (Instrument type)\nWMO_INST_TYPE (Coded instrument type)\ntime (Julian day (UTC) of the station relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nJULD_QC (Quality on Date and Time)\nJULD_LOCATION (Julian day (UTC) of the location relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of the station, best estimate, degrees_north)\nlongitude (Longitude of the station, best estimate, degrees_east)\nPOSITION_QC (Quality on position (latitude and longitude))\n... (30 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/MEOP_profiles_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/MEOP_profiles_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/MEOP_profiles/index.htmlTable http://www.meop.net (external link) https://data.pmel.noaa.gov/generic/erddap/rss/MEOP_profiles.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=MEOP_profiles&showErrors=false&email= MEOP MEOP_profiles
https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles_v2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles_v2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles_v2021.graph MEOP animal profiles, v2021 MEOP animal profiles, v2021\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ndeployment_code\nwmo_platform_code\nsmru_platform_code\nspecies (Species type)\nDATA_TYPE\nFORMAT_VERSION\nHANDBOOK_VERSION\nREFERENCE_DATE_TIME\nDATE_CREATION\nDATE_UPDATE (Date of update of this file)\nPLATFORM_NUMBER (Float unique identifier)\nPROJECT_NAME\nPI_NAME\nCYCLE_NUMBER (Float cycle number, 1)\nDIRECTION (Direction of the station profiles)\nDATA_CENTRE (Data centre in charge of float data processing)\nDC_REFERENCE (Station unique identifier in data centre)\nDATA_STATE_INDICATOR (Degree of processing the data have passed through)\nDATA_MODE (Delayed mode or real time data)\nINST_REFERENCE (Instrument type)\nWMO_INST_TYPE (Coded instrument type)\ntime (Julian day (UTC) of the station relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nJULD_QC (Quality on Date and Time)\nJULD_LOCATION (Julian day (UTC) of the location relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of the station, best estimate, degrees_north)\nlongitude (Longitude of the station, best estimate, degrees_east)\nPOSITION_QC (Quality on position (latitude and longitude))\n... (30 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/MEOP_profiles_v2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/MEOP_profiles_v2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/MEOP_profiles_v2021/index.htmlTable http://www.meop.net (external link) https://data.pmel.noaa.gov/generic/erddap/rss/MEOP_profiles_v2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=MEOP_profiles_v2021&showErrors=false&email= MEOP MEOP_profiles_v2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles_v2024.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles_v2024 https://data.pmel.noaa.gov/generic/erddap/tabledap/MEOP_profiles_v2024.graph MEOP animal profiles, v2024 MEOP animal profiles, v2024\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ndeployment_code\nwmo_platform_code\nsmru_platform_code\nspecies (Species type)\nDATA_TYPE\nFORMAT_VERSION\nHANDBOOK_VERSION\nREFERENCE_DATE_TIME\nDATE_CREATION\nDATE_UPDATE (Date of update of this file)\nPLATFORM_NUMBER (Float unique identifier)\nPROJECT_NAME\nPI_NAME\nCYCLE_NUMBER (Float cycle number, 1)\nDIRECTION (Direction of the station profiles)\nDATA_CENTRE (Data centre in charge of float data processing)\nDC_REFERENCE (Station unique identifier in data centre)\nDATA_STATE_INDICATOR (Degree of processing the data have passed through)\nDATA_MODE (Delayed mode or real time data)\nINST_REFERENCE (Instrument type)\nWMO_INST_TYPE (Coded instrument type)\ntime (Julian day (UTC) of the station relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nJULD_QC (Quality on Date and Time)\nJULD_LOCATION (Julian day (UTC) of the location relative to REFERENCE_DATE_TIME, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of the station, best estimate, degrees_north)\nlongitude (Longitude of the station, best estimate, degrees_east)\nPOSITION_QC (Quality on position (latitude and longitude))\n... (30 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/MEOP_profiles_v2024_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/MEOP_profiles_v2024_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/MEOP_profiles_v2024/index.htmlTable http://www.meop.net (external link) https://data.pmel.noaa.gov/generic/erddap/rss/MEOP_profiles_v2024.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=MEOP_profiles_v2024&showErrors=false&email= MEOP MEOP_profiles_v2024
https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly.graph OceanSITES KEO in-situ data: Hourly High Resolution Data (KEO OceanSITES long timeseries data) OceanSITES KEO in-situ data: Hourly High Resolution Data. KEO long timeseries sub-surface data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nprofile_id\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (Depth of each measurement, m)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nPRES_DM (method of data processing)\nPSAL_DM (method of data processing)\nTEMP_DM (method of data processing)\nPRES (water pressure, observed and calculated, decibar)\nPRES_QC (quality flag)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/keo_hourly_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/keo_hourly_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/keo_hourly/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/keo_hourly.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=keo_hourly&showErrors=false&email= NOAA/PMEL/OCS keo_hourly
https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp.graph OceanSITES KEO in-situ data: Hourly High Resolution Data (KEO OceanSITES long timeseries data) OceanSITES KEO in-situ data: Hourly High Resolution Data. KEO long timeseries sub-surface data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nprofile_id\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (Depth of each measurement, m)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nPRES_DM (method of data processing)\nPSAL_DM (method of data processing)\nTEMP_DM (method of data processing)\nPRES (water pressure, observed and calculated, decibar)\nPRES_QC (quality flag)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/keo_hourly_temp_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/keo_hourly_temp_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/keo_hourly_temp/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/keo_hourly_temp.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=keo_hourly_temp&showErrors=false&email= NOAA/PMEL/OCS keo_hourly_temp
https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_psal.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_psal https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_psal.graph OceanSITES Papa hourly PSAL in-situ data (OceanSITES Papa daily in-situ data) OceanSITES Papa daily in-situ data. This file contains hourly real-time and delayed-mode in-situ data from station Papa at 50N,145W in the North Pacific. This taut-line mooring has been instrumented with upper ocean and surface sensors since June 2007. Included in this file are sea temperatures from the surface to 300 meters depth, salinity and density (sigma-theta) from the surface to 200m depth, sea currents at 5m, 34m, and 35m depth, acoustic doppler profiles of zonal and meridional ocean current to from 28 to 160 meters depth, and a variety of surface observations for net air-sea fluxes of heat, moisture, and momentum including winds, solar and longwave radiation, rain, air temperature, relative humidity, and barometric pressure. Variables observed at rates other than 1 hour can be found in separate high resolution files.\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nprofile_id\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\ndepth (Depth of each measurement, m)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nPSAL_DM (method of data processing)\nwmo_platform_code\nsite_code (mooring site code)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/papa_hourly_psal_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/papa_hourly_psal_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/papa_hourly_psal/index.htmlTable https://www.pmel.noaa.gov/ocs (external link) https://data.pmel.noaa.gov/generic/erddap/rss/papa_hourly_psal.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=papa_hourly_psal&showErrors=false&email= NOAA/PMEL/OCS papa_hourly_psal
https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_psal.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_psal https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_psal.graph OceanSITES PIRATA hourly PSAL in-situ data OceanSITES hourly in-situ dat. OceanSITES Pilot Research Moored Array in the Tropical Atlantic (PIRATA) hourly PSAL in-situ data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nwmo_platform_code\nsite_code (mooring site code)\nprofile_id\ndepth (Depth of each measurement, m)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nPSAL_DM (method of data processing)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pirata_hourly_psal_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pirata_hourly_psal_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pirata_hourly_psal/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pirata_hourly_psal.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pirata_hourly_psal&showErrors=false&email= NOAA/PMEL/OCS pirata_hourly_psal
https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_psal.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_psal https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_psal.graph OceanSITES RAMA hourly PSAL in-situ data OceanSITES hourly in-situ dat. Number of Observations for OceanSITES Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) hourly PSAL in-situ data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nwmo_platform_code\nsite_code (mooring site code)\nprofile_id\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\ndepth (Depth of each measurement, m)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nPSAL_DM (method of data processing)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/rama_hourly_psal_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/rama_hourly_psal_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/rama_hourly_psal/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/rama_hourly_psal.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=rama_hourly_psal&showErrors=false&email= NOAA/PMEL/OCS rama_hourly_psal
https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_met.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_met https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_met.graph https://data.pmel.noaa.gov/generic/erddap/files/NTAS_met/ OceanSITES Surface meteorology from the Northwest Tropical Atlantic Station surface mooring (NTAS) Surface meteorological data from the Woods Hole Oceanographic Institution (WHOI)-UOP Ocean Reference Station deployed at the NTAS site deployments 12  13  14  15  16 by Albert Plueddemann\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (surveyed anchor latitude of each deployment, degrees_north)\nlongitude (Mean anchor longitude, degrees_east)\ndepth (m)\nDEPTH_VEL (Depth, meters)\nHEIGHT_RHAT (height of RELH and AIRT sensor, m)\nHEIGHT_WND (height of wind sensor, m)\nHEIGHT_APPROX (approximate met sensor height where unknown, m)\nwater_depth (water depth at mooring site, meters)\nwatch_circle (watch circle per deployment, nautical miles)\nmagnetic_correction (magnetic_correction applied to winds and currents, per deployment, degree)\nAIRT (air temperature, degree_C)\nRELH (relative humidity, percent)\nATMS (barometric pressure, millibars)\nLW (surface downwelling longwave radiation, W m-2)\nSW (shortwave radiation, W m-2)\nRAIN (precipitation rate, mm/hour)\nUWND (Wind Velocity East, meters/second)\nVWND (wind velocity north, meters/second)\nTEMP (sea temperature, degree_C)\nPSAL (sea water practical salinity, .001)\nCNDC (conductivity, S m-1)\nUCUR (Eastward Sea Water Velocity, S m-1)\nVCUR (Northward Sea Water Velocity, S m-1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/NTAS_met_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/NTAS_met_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/NTAS_met/index.htmlTable http://uop.whoi.edu/projects/ntas (external link) https://data.pmel.noaa.gov/generic/erddap/rss/NTAS_met.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=NTAS_met&showErrors=false&email= WHOI NTAS_met
https://data.pmel.noaa.gov/generic/erddap/tabledap/Stratus_met https://data.pmel.noaa.gov/generic/erddap/tabledap/Stratus_met.graph https://data.pmel.noaa.gov/generic/erddap/files/Stratus_met/ OceanSITES Surface meteorology from the Stratus Ocean Reference Station surface mooring Surface meteorological data from the Woods Hole Oceanographic Institution (WHOI)-UOP Ocean Reference Station deployed at the Stratus site deployments 11  12  13  14  15  16 by Robert Weller\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (Nominal site latitude, degrees_north)\nlongitude (Nominal site longitude, degrees_east)\nDEP_LAT (surveyed anchor latitude of each deployment, degrees_north)\nDEP_LON (Mean anchor longitude, degrees_east)\ndepth (m)\nDEPTH_VEL (Depth, meters)\nHEIGHT_RHAT (height of RELH and AIRT sensor, m)\nHEIGHT_WND (height of wind sensor, m)\nHEIGHT_APPROX (approximate met sensor height where unknown, m)\nwater_depth (water depth at mooring site, meters)\nwatch_circle (watch circle per deployment, nautical miles)\nmagnetic_correction (magnetic_correction applied to winds and currents, per deployment, degree)\nAIRT (air temperature, degree_C)\nRELH (relative humidity, percent)\nATMS (barometric pressure, millibars)\nLW (surface downwelling longwave radiation, W m-2)\nSW (shortwave radiation, W m-2)\nRAIN (precipitation rate, mm/hour)\nUWND (Wind Velocity East, meters/second)\nVWND (wind velocity north, meters/second)\nTEMP (sea temperature, degree_C)\nPSAL (sea water practical salinity, .001)\nCNDC (conductivity, S m-1)\nUCUR (Eastward Sea Water Velocity, S m-1)\nVCUR (Northward Sea Water Velocity, S m-1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/Stratus_met_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/Stratus_met_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/Stratus_met/index.htmlTable http://uop.whoi.edu/projects/stratus (external link) https://data.pmel.noaa.gov/generic/erddap/rss/Stratus_met.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=Stratus_met&showErrors=false&email= WHOI Stratus_met
https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_met.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_met https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_met.graph https://data.pmel.noaa.gov/generic/erddap/files/WHOTS_met/ OceanSITES Surface meteorology from the WHOI, Hawaii Ocean Time-series Station surface mooring (WHOTS) Surface meteorology from the Woods Hole Oceanographic Institution (WHOI) - Hawaii Ocean Time-series Station surface mooring (WHOTS) deployments 1 2 3 4 5 6 7 8 9 10 11 12 13 14. Surface meteorological data from the WHOI-UOP Ocean Reference Station deployed at the WHOTS site deployments 1   2   3   4   5   6   7   8   9  10  11  12  13  14 by Albert Plueddemann, Robert Weller\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (Nominal site latitude, degrees_north)\nlongitude (Nominal site longitude, degrees_east)\nDEP_LAT (surveyed anchor latitude of each deployment, degrees_north)\nDEP_LON (Mean anchor longitude, degrees_east)\ndepth (m)\nDEPTH_VEL (Depth, meters)\nHEIGHT_RHAT (height of RELH and AIRT sensor, m)\nHEIGHT_WND (height of wind sensor, m)\nHEIGHT_APPROX (approximate met sensor height where unknown, m)\nwater_depth (water depth at mooring site, meters)\nwatch_circle (watch circle per deployment, nautical miles)\nmagnetic_correction (magnetic_correction applied to winds and currents, per deployment, degree)\nAIRT (air temperature, degree_C)\nRELH (relative humidity, percent)\nATMS (barometric pressure, millibars)\nLW (surface downwelling longwave radiation, W m-2)\nSW (shortwave radiation, W m-2)\nRAIN (precipitation rate, mm/hour)\nUWND (Wind Velocity East, meters/second)\nVWND (wind velocity north, meters/second)\n... (5 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/WHOTS_met_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/WHOTS_met_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/WHOTS_met/index.htmlTable http://uop.whoi.edu/projects/whots (external link) https://data.pmel.noaa.gov/generic/erddap/rss/WHOTS_met.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=WHOTS_met&showErrors=false&email= WHOI WHOTS_met
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.graph Saildrone 2022 SWFSC Survey NRT, drone 1076 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1076_swfsc_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1076_swfsc_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1076_swfsc_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1076_swfsc_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1076_swfsc_2022&showErrors=false&email= Saildrone sd1076_swfsc_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022.graph Saildrone 2022 SWFSC Survey NRT, drone 1077 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1077_swfsc_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1077_swfsc_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1077_swfsc_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1077_swfsc_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1077_swfsc_2022&showErrors=false&email= Saildrone sd1077_swfsc_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts.graph Saildrone 2022 TPOS PMEL NRT Surface Data, drone 1033 The primary goal of this study will be to collect research quality air-sea interaction observations in the eastern tropical Pacific that could help satellite validation, model development, model and satellite measurement validation, or be used to constrain models. The second goal of the study is to develop adaptive sampling techniques that could be used as part of the TPOS backbone.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1033_tpos_2022_gts_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_tpos_2022_gts_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1033_tpos_2022_gts/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_tpos_2022_gts.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2022_gts&showErrors=false&email= Saildrone sd1033_tpos_2022_gts
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts.graph Saildrone 2022 TPOS PMEL NRT Surface Data. drone 1052 Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2022. These USVs were equipped with ADCPs, and other metocean sensors and sailed south to the equator to perform inter-comparisons with the Tropical Atmosphere/Ocean (TAO) moorings.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1052_tpos_2022_gts_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1052_tpos_2022_gts_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1052_tpos_2022_gts/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1052_tpos_2022_gts.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1052_tpos_2022_gts&showErrors=false&email= NOAA PMEL sd1052_tpos_2022_gts
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023.graph Saildrone 2023 NOAA SWFSC NRT Data, drone 1048 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1048_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1048_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1048_swfsc_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1048_swfsc_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1048_swfsc_2023&showErrors=false&email= Saildrone sd1048_swfsc_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023.graph Saildrone 2023 NOAA SWFSC NRT Data, drone 1060 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1060_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1060_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1060_swfsc_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1060_swfsc_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1060_swfsc_2023&showErrors=false&email= Saildrone sd1060_swfsc_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023.graph Saildrone 2023 NOAA SWFSC NRT Data, drone 1096 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1096_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1096_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1096_swfsc_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1096_swfsc_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1096_swfsc_2023&showErrors=false&email= Saildrone sd1096_swfsc_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1030 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1030_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1030_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1030_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1030_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1030_tpos_2023&showErrors=false&email= NOAA/PMEL sd1030_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1033 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1033_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1033_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2023&showErrors=false&email= NOAA/PMEL sd1033_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1079 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1079_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1079_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1079_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1079_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1079_tpos_2023&showErrors=false&email= NOAA/PMEL sd1079_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon.graph Saildrone Arctic 2021 OCS Single Beam NRT ASVCO2 Sea Trial drone 1030 lagoon_testing. Saildrone data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\nWING_ROLL_FILTERED_PEAK (Wing roll one minute peak, degree)\n... (78 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_1030_lagoon_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_1030_lagoon_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_1030_lagoon/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_1030_lagoon.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_1030_lagoon&showErrors=false&email= Saildrone sd_1030_lagoon
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon.graph Saildrone Arctic 2021 OCS Single Beam NRT ASVCO2 Sea Trial drone 1067 lagoon_testing. Saildrone data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\nWING_ROLL_FILTERED_PEAK (Wing roll one minute peak, degree)\n... (78 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_1067_lagoon_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_1067_lagoon_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_1067_lagoon/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_1067_lagoon.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_1067_lagoon&showErrors=false&email= Saildrone sd_1067_lagoon
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1031 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1031_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2022&showErrors=false&email= Saildrone sd1031_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1032 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1032_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1032_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1032_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1032_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1032_hurricane_2022&showErrors=false&email= Saildrone sd1032_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1040 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1040_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2022&showErrors=false&email= Saildrone sd1040_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1059 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1059_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1059_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1059_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1059_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1059_hurricane_2022&showErrors=false&email= Saildrone sd1059_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1083 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 4 USVs during the 2021 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1083_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1083_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1083_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1083_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2022&showErrors=false&email= Saildrone sd1083_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1084_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1084_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1084_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1084 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1084_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1084_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1084_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1084_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1084_hurricane_2022&showErrors=false&email= Saildrone sd1084_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1031 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1031_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2023&showErrors=false&email= Saildrone sd1031_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1036 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1036_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1036_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1036_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1036_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1036_hurricane_2023&showErrors=false&email= Saildrone sd1036_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1040 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1040_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2023&showErrors=false&email= Saildrone sd1040_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1041 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1041_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1041_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1041_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1041_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1041_hurricane_2023&showErrors=false&email= Saildrone sd1041_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1045 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1045_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1045_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1045_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1045_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1045_hurricane_2023&showErrors=false&email= Saildrone sd1045_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1057 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1057_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1057_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1057_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1057_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1057_hurricane_2023&showErrors=false&email= Saildrone sd1057_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1064 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1064_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1064_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1064_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1064_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1064_hurricane_2023&showErrors=false&email= Saildrone sd1064_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1065 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1065_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_hurricane_2023&showErrors=false&email= Saildrone sd1065_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1068 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1068_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1068_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1068_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1068_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1068_hurricane_2023&showErrors=false&email= Saildrone sd1068_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1069 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1069_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1069_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1069_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1069_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1069_hurricane_2023&showErrors=false&email= Saildrone sd1069_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1083 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1083_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1083_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1083_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1083_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2023&showErrors=false&email= Saildrone sd1083_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_shakedown_collection.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_shakedown_collection https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_shakedown_collection.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial all drones Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_shakedown_collection_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_shakedown_collection_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_shakedown_collection/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_shakedown_collection.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_shakedown_collection&showErrors=false&email= Saildrone sd_shakedown_collection
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1089 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1089_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1089_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1089_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1089_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1089_shakedown&showErrors=false&email= Saildrone sd1089_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1090 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1090_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1090_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1090_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1090_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1090_shakedown&showErrors=false&email= Saildrone sd1090_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1091 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1091_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1091_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1091_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1091_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1091_shakedown&showErrors=false&email= Saildrone sd1091_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1092 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1092_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1092_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1092_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1092_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1092_shakedown&showErrors=false&email= Saildrone sd1092_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1031 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1031_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2021&showErrors=false&email= Saildrone sd1031_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1040 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1040_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2021&showErrors=false&email= Saildrone sd1040_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1045 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1045_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1045_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1045_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1045_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1045_hurricane_2021&showErrors=false&email= Saildrone sd1045_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_hurricane_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1048 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1048_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1048_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1048_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1048_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1048_hurricane_2021&showErrors=false&email= Saildrone sd1048_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_hurricane_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1060 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1060_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1060_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1060_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1060_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1060_hurricane_2021&showErrors=false&email= Saildrone sd1060_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sea_trial_NRT.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sea_trial_NRT https://data.pmel.noaa.gov/generic/erddap/tabledap/sea_trial_NRT.graph Saildrone Sea Trial NRT Data Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nproject (Project Name)\nXCO2_DRY_SW_MEAN_ASVCO2 (xCO2 Dry Seawater Mean ASVCO2, micromol mol-1)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nO2_CONC_SBE37_MEAN (Oxygen concentration, micromol L-1)\nCHLOR_WETLABS_MEAN (Chlorophyll concentration, microgram L-1)\nPH_SW (pH of Seawater (total scale))\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sea_trial_NRT_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sea_trial_NRT_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sea_trial_NRT/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sea_trial_NRT.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sea_trial_NRT&showErrors=false&email= Saildrone sea_trial_NRT
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test.graph Saildrone SOCHIC NRT ASVCO2  Validation drone 1067 In shop testing of gen2 OCS CO2 systems\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\nWING_ROLL_FILTERED_PEAK (Wing roll one minute peak, degree)\n... (74 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1067_sochic_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1067_sochic_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1067_sochic_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1067_sochic_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1067_sochic_test&showErrors=false&email= Saildrone sd1067_sochic_test
https://data.pmel.noaa.gov/generic/erddap/tabledap/sikuliaq.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sikuliaq https://data.pmel.noaa.gov/generic/erddap/tabledap/sikuliaq.graph https://data.pmel.noaa.gov/generic/erddap/files/sikuliaq/ SIKULIAQ Meteorological Data (Cruise data from Sikuliaq) SIKULIAQ Meteorological Data. Cruise data from Sikuliaq. Data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\nshipName (ship name)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPL_HD (platform heading, degrees (clockwise towards true north))\nPL_CRS (platform course, degrees (clockwise towards true north))\nDIR (earth relative wind direction, degrees (clockwise from true north))\nPL_WDIR (platform relative wind direction, degrees (clockwise from bow))\nPL_SPD (platform speed over ground, meter second-1)\nPL_SOW (longitudinal platform speed over water, meter second-1)\nPL_SOW2 (transverse platform speed over water, meter second-1)\nSPD (earth relative wind speed, meter second-1)\nPL_WSPD (platform relative wind speed, meter second-1)\nP (atmospheric pressure, millibar)\nairt (air temperature, degree_C)\nRH (relative humidity, percent)\nTS2 (IR sea skin temperature, degree_C)\nSSPS (salinity, PSU)\nCNDC (conductivity, siemens meter-1)\nRAD_SW\nRAD_LW\nRAD_PAR (photosynthetically active atmospheric radiation, microeinstein meter-2 second-1)\ndate (calender date, seconds since 1970-01-01T00:00:00Z)\ntime_of_day (hhmmss UTC)\nflag (quality control flags)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sikuliaq_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sikuliaq_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sikuliaq/index.htmlTable ??? https://data.pmel.noaa.gov/generic/erddap/rss/sikuliaq.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sikuliaq&showErrors=false&email= ??? sikuliaq
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyS.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyS https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyS.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1987-present, Salinity This dataset has daily Salinity data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nS_41 (Sea Water Practical Salinity, PSU)\nQS_5041 (Salinity Quality)\nSS_6041 (Salinity Source)\nSIC_8041 (Salinity Instrument Code)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDyS_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDyS_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDyS/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDyS.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDyS&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDyS
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySss.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySss https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySss.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1992-present, Sea Surface Salinity This dataset has daily Sea Surface Salinity data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nS_41 (Sea Water Practical Salinity, PSU)\nQS_5041 (Salinity Quality)\nSS_6041 (Salinity Source)\nSIC_7041 (Salinity Instrument Code)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDySss_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDySss_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDySss/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDySss.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDySss&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDySss
https://data.pmel.noaa.gov/generic/erddap/tabledap/TSGdata_arctic.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/TSGdata_arctic https://data.pmel.noaa.gov/generic/erddap/tabledap/TSGdata_arctic.graph https://data.pmel.noaa.gov/generic/erddap/files/TSGdata_arctic/ Thermosalinograph data collected in WMO square 7514 from 1990 to 1999 The overarching goal of the Global Thermosalinograph (TSG) Project is to serve the broader community by providing a well-organized, uniformly quality-controlled thermosalinograph database. This data file is a re-representation of the thermosalinograph data archived at the NOAA National Centers for Environmental Information (NCEI).\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Unique identifier for each feature instance)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nplatform1 (IRD'S SHIPSX)\ncrs\nsea_surface_temperature (degree_Celsius)\nsea_surface_salinity (PSU)\nconductivity (Sea water electrical conductivity, S/meter)\nwater_jacket_temperature (degree_Celsius)\ninstrument1 (Thermosalinographs)\ninstrument3 (Additional Temperature Sensor)\ninstrument2 (GPS)\nsea_surface_temperature_qc (quality flag of sea surface temperature)\nsea_surface_salinity_qc (quality flag of sea surface salinity)\nconductivity_qc (quality flag of conductivity)\nwater_jacket_temperature_qc (quality flag of jacket temperature)\ncommon_variables_qc (overall quality flag of common variables (platform, time, location, platform_speed, land and flow_rate))\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/TSGdata_arctic_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/TSGdata_arctic_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/TSGdata_arctic/index.htmlTable https://www.nodc.noaa.gov/cgi-bin/OAS/prd/person/details/4843 (external link) https://data.pmel.noaa.gov/generic/erddap/rss/TSGdata_arctic.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=TSGdata_arctic&showErrors=false&email= NCEI, NOAA TSGdata_arctic
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023.graph University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1089 Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1089_hawaii_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1089_hawaii_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1089_hawaii_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1089_hawaii_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1089_hawaii_2023&showErrors=false&email= Saildrone sd1089_hawaii_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023.graph University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1090 Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1090_hawaii_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1090_hawaii_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1090_hawaii_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1090_hawaii_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1090_hawaii_2023&showErrors=false&email= Saildrone sd1090_hawaii_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023.graph University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1091 Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1091_hawaii_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1091_hawaii_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1091_hawaii_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1091_hawaii_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1091_hawaii_2023&showErrors=false&email= Saildrone sd1091_hawaii_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_wmo_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_wmo_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_wmo_test.graph WMO data distribution test, drone 1031 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_wmo_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_wmo_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1031_wmo_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_wmo_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_wmo_test&showErrors=false&email= Saildrone sd1031_wmo_test
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_wmo_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_wmo_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_wmo_test.graph WMO data distribution test, drone 1040 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_wmo_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_wmo_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1040_wmo_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_wmo_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_wmo_test&showErrors=false&email= Saildrone sd1040_wmo_test
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_wmo_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_wmo_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_wmo_test.graph WMO data distribution test, drone 1048 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1048_wmo_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1048_wmo_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1048_wmo_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1048_wmo_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1048_wmo_test&showErrors=false&email= Saildrone sd1048_wmo_test
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_wmo_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_wmo_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_wmo_test.graph WMO data distribution test, drone 1060 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1060_wmo_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1060_wmo_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1060_wmo_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1060_wmo_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1060_wmo_test&showErrors=false&email= Saildrone sd1060_wmo_test

 
ERDDAP, Version 2.18
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