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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | 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/
| 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/griddap/temp_e657_971e_6245 | https://data.pmel.noaa.gov/generic/erddap/griddap/temp_e657_971e_6245.graph | https://data.pmel.noaa.gov/generic/erddap/wms/temp_e657_971e_6245/request | ARGO gridded Temperature data | ARGO gridded Temperature data\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][PRESSURE][latitude][longitude]):\nARGO_TEMPERATURE_ANOMALY (ARGO TEMPERATURE ANOMALY defined by Jan 2004 - Dec 2015 (12.0 year) RG CLIMATOLOGY, degree celcius (ITS-90))\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/temp_e657_971e_6245_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/temp_e657_971e_6245_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/temp_e657_971e_6245/index.htmlTable | ??? | https://data.pmel.noaa.gov/generic/erddap/rss/temp_e657_971e_6245.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=temp_e657_971e_6245&showErrors=false&email= | UCSD/Scripps | temp_e657_971e_6245 | |||
| 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
| 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/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
| 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
| 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
| 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/sd1055_swfsc_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1055_swfsc_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1055_swfsc_2021.graph | NOAA SWFSC 2021 NRT Surface Data | Two Gen6 Saildrone Explorer USVs were launched from Westport, WA in June 2021. These USVs were equipped with EK80 echosounders, and other metocean sensors and sailed along the west coast of the United States as a part of a fish stock survey.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1055_swfsc_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1055_swfsc_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1055_swfsc_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1055_swfsc_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1055_swfsc_2021&showErrors=false&email= | Saildrone | sd1055_swfsc_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_swfsc_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_swfsc_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_swfsc_2021.graph | NOAA SWFSC 2021 NRT Surface Data | Two Gen6 Saildrone Explorer USVs were launched from Westport, WA in June 2021. These USVs were equipped with EK80 echosounders, and other metocean sensors and sailed along the west coast of the United States as a part of a fish stock survey.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1059_swfsc_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1059_swfsc_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1059_swfsc_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1059_swfsc_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1059_swfsc_2021&showErrors=false&email= | Saildrone | sd1059_swfsc_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054.graph | https://data.pmel.noaa.gov/generic/erddap/files/sd1054/ | Pacific Storms PMEL AOML 2020 GTS data | A gen6 Saildrone USV was launched from Alameda, CA with a shorter, 'hurricane wing' and the standard saildrone sensor suite. The objectives of this mission are to test the new, ruggedized wing in storms in the Pacific and to provide near real time observations to forecast centers.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1054_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1054_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1054/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1054.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1054&showErrors=false&email= | Saildrone | sd1054 | ||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_arctic_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_arctic_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_arctic_2021.graph | Saildrone 2021 Arctic OCS Single Beam NRT Surface Data, drone 1030 | Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1030_arctic_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1030_arctic_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1030_arctic_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1030_arctic_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1030_arctic_2021&showErrors=false&email= | Saildrone | sd1030_arctic_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_arctic_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_arctic_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_arctic_2021.graph | Saildrone 2021 Arctic OCS Single Beam NRT Surface Data, drone 1033 | Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1033_arctic_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_arctic_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1033_arctic_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_arctic_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_arctic_2021&showErrors=false&email= | Saildrone | sd1033_arctic_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_arctic_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_arctic_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_arctic_2021.graph | Saildrone 2021 Arctic OCS Single Beam NRT Surface Data, drone 1034 | Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1034_arctic_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1034_arctic_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1034_arctic_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1034_arctic_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1034_arctic_2021&showErrors=false&email= | Saildrone | sd1034_arctic_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_arctic_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_arctic_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_arctic_2021.graph | Saildrone 2021 Arctic OCS Single Beam NRT Surface Data, drone 1067 | Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1067_arctic_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1067_arctic_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1067_arctic_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1067_arctic_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1067_arctic_2021&showErrors=false&email= | Saildrone | sd1067_arctic_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1063_hake_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1063_hake_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1063_hake_2021.graph | Saildrone 2021 NWFSC Hake Survey, drone 1063 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in August 2021. These USVs were equipped with WBT mini echosounders with 200/38 kHz transducers, and other metocean sensors and sailed along the west coast of the United States as a part of a hake fish stock survey.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1063_hake_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1063_hake_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1063_hake_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1063_hake_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1063_hake_2021&showErrors=false&email= | Saildrone | sd1063_hake_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hake_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hake_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hake_2021.graph | Saildrone 2021 NWFSC Hake Survey, drone 1064 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in August 2021. These USVs were equipped with WBT mini echosounders with 200/38 kHz transducers, and other metocean sensors and sailed along the west coast of the United States as a part of a hake fish stock survey.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1064_hake_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1064_hake_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1064_hake_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1064_hake_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1064_hake_2021&showErrors=false&email= | Saildrone | sd1064_hake_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021.graph | Saildrone 2021 TPOS PMEL NRT Surface Data, drone 1065 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2021. 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:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_tpos_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_tpos_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1065_tpos_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_tpos_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_tpos_2021&showErrors=false&email= | Saildrone | sd1065_tpos_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_tpos_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_tpos_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_tpos_2021.graph | Saildrone 2021 TPOS PMEL NRT Surface Data, drone 1066 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2021. 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:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1066_tpos_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1066_tpos_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1066_tpos_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1066_tpos_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1066_tpos_2021&showErrors=false&email= | Saildrone | sd1066_tpos_2021 | |||
| 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/
| 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/
| 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/
| 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/
| 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/sd1044_usn_tf59_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1044_usn_tf59_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1044_usn_tf59_2022.graph | Saildrone 2022 US Navy Task Force 59, drone 1044 | Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1044_usn_tf59_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1044_usn_tf59_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1044_usn_tf59_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1044_usn_tf59_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1044_usn_tf59_2022&showErrors=false&email= | Saildrone | sd1044_usn_tf59_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1047_usn_tf59_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1047_usn_tf59_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1047_usn_tf59_2022.graph | Saildrone 2022 US Navy Task Force 59, drone 1047 | Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1047_usn_tf59_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1047_usn_tf59_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1047_usn_tf59_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1047_usn_tf59_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1047_usn_tf59_2022&showErrors=false&email= | Saildrone | sd1047_usn_tf59_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1053_usn_tf59_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1053_usn_tf59_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1053_usn_tf59_2022.graph | Saildrone 2022 US Navy Task Force 59, drone 1053 | Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1053_usn_tf59_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1053_usn_tf59_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1053_usn_tf59_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1053_usn_tf59_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1053_usn_tf59_2022&showErrors=false&email= | Saildrone | sd1053_usn_tf59_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054_usn_tf59_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054_usn_tf59_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054_usn_tf59_2022.graph | Saildrone 2022 US Navy Task Force 59, drone 1054 | Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1054_usn_tf59_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1054_usn_tf59_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1054_usn_tf59_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1054_usn_tf59_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1054_usn_tf59_2022&showErrors=false&email= | Saildrone | sd1054_usn_tf59_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1061_usn_tf59_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1061_usn_tf59_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1061_usn_tf59_2022.graph | Saildrone 2022 US Navy Task Force 59, drone 1061 | Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1061_usn_tf59_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1061_usn_tf59_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1061_usn_tf59_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1061_usn_tf59_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1061_usn_tf59_2022&showErrors=false&email= | Saildrone | sd1061_usn_tf59_2022 | |||
| 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/
| 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/
| 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/
| 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
| 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
| 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
| 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/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/
| 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/
| 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/
| 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/
| 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/sd1078_hurricane_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1078_hurricane_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1078_hurricane_2022.graph | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1078 | 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\nWIND_SPEED_MEAN\nTEMP_AIR_MEAN (degree_C)\nRH_MEAN\nBARO_PRES_MEAN\nWAVE_DOMINANT_PERIOD\nWAVE_SIGNIFICANT_HEIGHT\nTEMP_SBE37_MEAN (degree_C)\nSAL_SBE37_MEAN\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1078_hurricane_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1078_hurricane_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1078_hurricane_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1078_hurricane_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1078_hurricane_2022&showErrors=false&email= | Saildrone | sd1078_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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/sd1034_ecmwf_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_ecmwf_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_ecmwf_2021.graph | Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1034 | Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area. If pCO2 is calculated, the TEMP_DEPTH_HALFMETER sensor should be used as the primary sea surface temperature when calculating pCO2. Due to damage in a storm, SD-1034 was an additional USV launched in the beginning of May 2022 from North Carolina.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1034_ecmwf_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1034_ecmwf_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1034_ecmwf_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1034_ecmwf_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1034_ecmwf_2021&showErrors=false&email= | Saildrone | sd1034_ecmwf_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_ecmwf_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_ecmwf_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_ecmwf_2021.graph | Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1089 | Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area. If pCO2 is calculated, the TEMP_DEPTH_HALFMETER sensor should be used as the primary sea surface temperature when calculating pCO2.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1089_ecmwf_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1089_ecmwf_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1089_ecmwf_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1089_ecmwf_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1089_ecmwf_2021&showErrors=false&email= | Saildrone | sd1089_ecmwf_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_ecmwf_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_ecmwf_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_ecmwf_2021.graph | Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1090 | Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1090_ecmwf_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1090_ecmwf_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1090_ecmwf_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1090_ecmwf_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1090_ecmwf_2021&showErrors=false&email= | Saildrone | sd1090_ecmwf_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_ecmwf_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_ecmwf_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_ecmwf_2021.graph | Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1091 | Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1091_ecmwf_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1091_ecmwf_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1091_ecmwf_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1091_ecmwf_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1091_ecmwf_2021&showErrors=false&email= | Saildrone | sd1091_ecmwf_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_ecmwf_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_ecmwf_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_ecmwf_2021.graph | Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1092 | Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area.\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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1092_ecmwf_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1092_ecmwf_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1092_ecmwf_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1092_ecmwf_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1092_ecmwf_2021&showErrors=false&email= | Saildrone | sd1092_ecmwf_2021 | |||
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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/
| 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 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test.graph | WMO data distribution test, drone 1065 | Testing data distribution of Saildrone dron 1065 data to support WIS 2.0 pilot project\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_wmo_test_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_wmo_test_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1065_wmo_test/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_wmo_test.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_wmo_test&showErrors=false&email= | NOAA/PMEL | sd1065_wmo_test | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_wmo_test.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_wmo_test | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_wmo_test.graph | WMO data distribution test, drone 1066 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2021. 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:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1066_wmo_test_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1066_wmo_test_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1066_wmo_test/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1066_wmo_test.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1066_wmo_test&showErrors=false&email= | Saildrone | sd1066_wmo_test |