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Brought to you by NOAA NMFS SWFSC ERD |
| 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/pmel/erddap/tabledap/IrregularTime5_df5b_8efc_ed1c.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime5_df5b_8efc_ed1c | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime5_df5b_8efc_ed1c.graph | PMEL Atmospheric Chemistry ACEASIA Experiment Irregular 5 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Asian Pacific Regional Aerosol Characterization Experiment Irregular 5 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime5_df5b_8efc_ed1c_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime5_df5b_8efc_ed1c_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime5_df5b_8efc_ed1c/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime5_df5b_8efc_ed1c.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime5_df5b_8efc_ed1c&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime5_df5b_8efc_ed1c | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1.graph | PMEL Atmospheric Chemistry ATOMIC AOD data | ATOMIC (Atlantic Tradewind Ocean Atmosphere Mesoscale Interaction Campaign) 2020 Field campaign: Surface meteorological and ship navigation collected from the RV Ronald H. Brown by the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Group in the tropical North Atlantic ocean from 2020-01-09 to 2020-02-13\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naod_380 (Aerosol Optical Depth at 380nm, 1)\naod_440 (Aerosol Optical Depth at 440nm, 1)\naod_500 (Aerosol Optical Depth at 500nm, 1)\naod_675 (Aerosol Optical Depth at 675nm, 1)\naod_870 (Aerosol Optical Depth at 870nm, 1)\nair_mass (Integrated Air Density Along Solar Ray Path, atm)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1/index.htmlTable | https://saga.pmel.noaa.gov
| https://data.pmel.noaa.gov/pmel/erddap/rss/EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1&showErrors=false&email= | NOAA PMEL Atmospheric Chemistry | EUREC4A_ATOMIC_RonBrown_PMEL_AOD_v1 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1.graph | PMEL Atmospheric Chemistry ATOMIC Impactor collected XRF Chemistry | ATOMIC (Atlantic Tradewind Ocean Atmosphere Mesoscale Interaction Campaign) 2020 Field campaign: Surface meteorological and ship navigation collected from the RV Ronald H. Brown by the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Group in the tropical North Atlantic ocean from 2020-01-09 to 2020-02-13\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Midpoint Time of Sample Period, seconds since 1970-01-01T00:00:00Z)\ntrajectory_id\nlatitude (Midpoint Latitude of Sample Period, degrees_north)\nlongitude (Midpoint Longitude of Sample Period, degrees_east)\nXRF_Al_sub1 (Al Concentration in Dp < 1.1um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Al_sub10 (Al Concentration in Dp < 10um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Si_sub1 (Si Concentration in Dp < 1.1um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Si_sub10 (Si Concentration in Dp < 10um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Ca_sub1 (Ca Concentration in Dp < 1.1um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Ca_sub10 (Ca Concentration in Dp < 10um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Ti_sub1 (Ti Concentration in Dp < 1.1um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Ti_sub10 (Ti Concentration in Dp < 10um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Fe_sub1 (Fe Concentration in Dp < 1.1um particles in air, measured by x-ray fluorescence, micrograms m-3)\nXRF_Fe_sub10 (Fe Concentration in Dp < 10um particles in air, measured by x-ray fluorescence, micrograms m-3)\nstart_time (Start Time of Sample Period, seconds since 1970-01-01T00:00:00Z)\nstop_time (Stop Time of Sample Period, seconds since 1970-01-01T00:00:00Z)\nsample_number (1)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1/index.htmlTable | https://saga.pmel.noaa.gov
| https://data.pmel.noaa.gov/pmel/erddap/rss/EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1&showErrors=false&email= | NOAA PMEL Atmospheric Chemistry | EUREC4A_ATOMIC_RonBrown_PMEL_XRF_Chem_v1 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1.graph | PMEL Atmospheric Chemistry ATOMIC Optics 1 minute data | ATOMIC (Atlantic Tradewind Ocean Atmosphere Mesoscale Interaction Campaign) 2020 Field campaign: Surface meteorological and ship navigation collected from the RV Ronald H. Brown by the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Group in the tropical North Atlantic ocean from 2020-01-09 to 2020-02-13\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory_id\nlatitude (degrees_north)\nlongitude (degrees_east)\nscatter_450_sub1 (Coefficient of Light Scattering by sub micron Aerosols at 450 nm, Mm-1)\nscatter_550_sub1 (Coefficient of Light Scattering by sub micron Aerosols at 550 nm, Mm-1)\nscatter_700_sub1 (Coefficient of Light Scattering by sub micron Aerosols at 700 nm, Mm-1)\nscatter_450_sub10 (Coefficient of Light Scattering by sub 10 micron Aerosols at 450 nm, Mm-1)\nscatter_550_sub10 (Coefficient of Light Scattering by sub 10 micron Aerosols at 550 nm, Mm-1)\nscatter_700_sub10 (Coefficient of Light Scattering by sub 10 micron Aerosols at 700 nm, Mm-1)\nabsorb_467_sub1 (Coefficient of Light Absorption by sub micron Aerosols at 467 nm, Mm-1)\nabsorb_467_sub10 (Coefficient of Light Absorption by sub 10 micron Aerosols at 467 nm, Mm-1)\nabsorb_530_sub1 (Coefficient of Light Absorption by sub micron Aerosols at 530 nm, Mm-1)\nabsorb_530_sub10 (Coefficient of Light Absorption by sub 10 micron Aerosols at 530 nm, Mm-1)\nabsorb_660_sub1 (Coefficient of Light Absorption by sub micron Aerosols at 660 nm, Mm-1)\nabsorb_660_sub10 (Coefficient of Light Absorption by sub 10 micron Aerosols at 660 nm, Mm-1)\nscatter_rh_sub1 (Sample RH of scattering by sub micron Aerosols, percent)\nscatter_rh_sub10 (Sample RH of scattering by sub 10 micron Aerosols, percent)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1/index.htmlTable | https://saga.pmel.noaa.gov
| https://data.pmel.noaa.gov/pmel/erddap/rss/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1&showErrors=false&email= | NOAA PMEL Atmospheric Chemistry | EUREC4A_ATOMIC_RonBrown_PMEL_Optics_v1 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0.graph | PMEL Atmospheric Chemistry ATOMIC Optics_Intensive 1 minute data | ATOMIC (Atlantic Tradewind Ocean Atmosphere Mesoscale Interaction Campaign) 2020 Field campaign: Surface meteorological and ship navigation collected from the RV Ronald H. Brown by the National Oceanic and Atmospheric Administration (NOAA) Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Group in the tropical North Atlantic ocean from 2020-01-09 to 2020-02-13\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory_id\nlatitude (degrees_north)\nlongitude (degrees_east)\nscatter_angstrom_450_550_sub1 (Light Scattering Angstrom exponent by sub 1-micron Aerosols at wavelength range 450_550_nm, 1)\nscatter_angstrom_450_700_sub1 (Light Scattering Angstrom exponent by sub 1-micron Aerosols at wavelength range 450_700_nm, 1)\nscatter_angstrom_550_700_sub1 (Light Scattering Angstrom exponent by sub 1-micron Aerosols at wavelength range 550_700_nm, 1)\nscatter_angstrom_450_550_sub10 (Light Scattering Angstrom exponent by sub 10 micron Aerosols at wavelength range 450_550_nm, 1)\nscatter_angstrom_450_700_sub10 (Light Scattering Angstrom exponent by sub 10 micron Aerosols at wavelength range 450_700_nm, 1)\nscatter_angstrom_550_700_sub10 (Light Scattering Angstrom exponent by sub 10 micron Aerosols at wavelength range 550_700_nm, 1)\nabsorb_angstrom_467_530_sub1 (Light Absorption Angstrom exponent by sub 1 micron Aerosols at wavelength range 467_530_nm, 1)\nabsorb_angstrom_467_660_sub1 (Light Absorption Angstrom exponent by sub 1 micron Aerosols at wavelength range 467_660_nm, 1)\nabsorb_angstrom_530_660_sub1 (Light Absorption Angstrom exponent by sub 1 micron Aerosols at wavelength range 530_660_nm, 1)\nabsorb_angstrom_467_530_sub10 (Light Absorption Angstrom exponent by sub 10 micron Aerosols at wavelength range 467_530_nm, 1)\nabsorb_angstrom_467_660_sub10 (Light Absorption Angstrom exponent by sub 10 micron Aerosols at wavelength range 467_660_nm, 1)\nabsorb_angstrom_530_660_sub10 (Light Absorption Angstrom exponent by sub 10 micron Aerosols at wavelength range 530_660_nm, 1)\nssa_467_sub1 (Single Scatter Albedo by sub 1 micron aeorosals at 467 nm, 1)\nssa_530_sub1 (Single Scatter Albedo by sub 1 micron aeorosals at 530 nm, 1)\nssa_660_sub1 (Single Scatter Albedo by sub 1 micron aeorosals at 660 nm, 1)\nssa_467_sub10 (Single Scatter Albedo by sub 10 micron aeorosals at 467 nm, 1)\nssa_530_sub10 (Single Scatter Albedo by sub 10 micron aeorosals at 530 nm, 1)\nssa_660_sub10 (Single Scatter Albedo by sub 10 micron aeorosals at 660 nm, 1)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0/index.htmlTable | https://saga.pmel.noaa.gov
| https://data.pmel.noaa.gov/pmel/erddap/rss/EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0&showErrors=false&email= | NOAA PMEL Atmospheric Chemistry | EUREC4A_ATOMIC_RonBrown_PMEL_Optics_Intensive_v0 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/dsg_1min_f661_a937_c222.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/dsg_1min_f661_a937_c222 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/dsg_1min_f661_a937_c222.graph | PMEL Atmospheric Chemistry ICEALOT Experiment 1 minute data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry International Chemistry Experiment in the Arctic Lower Troposphere 1 minute data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nSOG_3080 (Speed Over Ground, knots)\nCOG_3070 (Course Over Ground, degrees_T)\nHdg_3061 (Gyrocompass Heading, degrees_T)\nWS_404 (Wind Speed, m s-1)\nWD_412 (Wind Direction (from), degrees_T)\nWU_430 (Zonal Wind, m s-1)\nWV_431 (Meridional Wind, m s-1)\nRWS_405 (Wind Speed (rel. to ship), m s-1)\nRWD_414 (Wind Dir. (rel. to bow), degrees)\nAOD1_1881_AOD_440_sub0 (Aerosol Optical Depth Ch-1 AOD_440 sub-0 micron)\nAOD2_1882_AOD_500_sub0 (Aerosol Optical Depth Ch-2 AOD_500 sub-0 micron)\nAOD3_1883_AOD_675_sub0 (Aerosol Optical Depth Ch-3 AOD_675 sub-0 micron)\nAOD4_1884_AOD_870_sub0 (Aerosol Optical Depth Ch-4 AOD_870 sub-0 micron)\nAODMZA_1880_SolarZenithAng_sub0 (AOD measurement zenith angle SolarZenithAng sub-0 micron, degrees)\nAODAMS_1879_AirMass_sub0 (AOD measurement airmass AirMass sub-0 micron, atmosphere)\nAOD1_1881_AOD_380_sub0 (Aerosol Optical Depth Ch-1 AOD_380 sub-0 micron)\nAOD2_1882_AOD_440_sub0 (Aerosol Optical Depth Ch-2 AOD_440 sub-0 micron)\nAOD3_1883_AOD_500_sub0 (Aerosol Optical Depth Ch-3 AOD_500 sub-0 micron)\nAOD4_1884_AOD_675_sub0 (Aerosol Optical Depth Ch-4 AOD_675 sub-0 micron)\n... (70 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/dsg_1min_f661_a937_c222_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/dsg_1min_f661_a937_c222_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/dsg_1min_f661_a937_c222/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/dsg_1min_f661_a937_c222.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=dsg_1min_f661_a937_c222&showErrors=false&email= | PMEL Atmospheric Chemistry | dsg_1min_f661_a937_c222 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_5a38_1a0f_ef64.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_5a38_1a0f_ef64 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_5a38_1a0f_ef64.graph | PMEL Atmospheric Chemistry NEAQAS2002 irregular 2 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry New England Air Quality Study - 2002 irregular 2 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime2_5a38_1a0f_ef64_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime2_5a38_1a0f_ef64_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime2_5a38_1a0f_ef64/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime2_5a38_1a0f_ef64.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime2_5a38_1a0f_ef64&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime2_5a38_1a0f_ef64 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_8154_6d1f_180a.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_8154_6d1f_180a | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_8154_6d1f_180a.graph | PMEL Atmospheric Chemistry NEAQAS2004 Experiment irregular 2 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry New England Air Quality Study - 2004 irregular 2 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime2_8154_6d1f_180a_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime2_8154_6d1f_180a_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime2_8154_6d1f_180a/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime2_8154_6d1f_180a.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime2_8154_6d1f_180a&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime2_8154_6d1f_180a | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_6933_c433_b0d6.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_6933_c433_b0d6 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_6933_c433_b0d6.graph | PMEL Atmospheric Chemistry NEAQAS2004 Experiment irregular 3 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry New England Air Quality Study - 2004 irregular 3 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime3_6933_c433_b0d6_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime3_6933_c433_b0d6_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime3_6933_c433_b0d6/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime3_6933_c433_b0d6.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime3_6933_c433_b0d6&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime3_6933_c433_b0d6 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime4_5ca5_f55a_b802.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime4_5ca5_f55a_b802 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime4_5ca5_f55a_b802.graph | PMEL Atmospheric Chemistry NEAQAS2004 Experiment irregular 4 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry New England Air Quality Study - 2004 irregular 4 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime4_5ca5_f55a_b802_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime4_5ca5_f55a_b802_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime4_5ca5_f55a_b802/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime4_5ca5_f55a_b802.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime4_5ca5_f55a_b802&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime4_5ca5_f55a_b802 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_25ec_cdc7_41c4.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_25ec_cdc7_41c4 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime2_25ec_cdc7_41c4.graph | PMEL Atmospheric Chemistry TEXAQS2006 irregular 2 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Texas Air Quality Study / Gulf of Mexico Atmospheric Composition and Climate Study Irregular 2 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime2_25ec_cdc7_41c4_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime2_25ec_cdc7_41c4_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime2_25ec_cdc7_41c4/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime2_25ec_cdc7_41c4.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime2_25ec_cdc7_41c4&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime2_25ec_cdc7_41c4 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_74be_a8c7_d889.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_74be_a8c7_d889 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_74be_a8c7_d889.graph | PMEL Atmospheric Chemistry TEXAQS2006 irregular 3 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Texas Air Quality Study / Gulf of Mexico Atmospheric Composition and Climate Study Irregular 3 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime3_74be_a8c7_d889_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime3_74be_a8c7_d889_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime3_74be_a8c7_d889/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime3_74be_a8c7_d889.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime3_74be_a8c7_d889&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime3_74be_a8c7_d889 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime4_8e47_aea0_8c1e.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime4_8e47_aea0_8c1e | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime4_8e47_aea0_8c1e.graph | PMEL Atmospheric Chemistry TEXAQS2006 irregular 4 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Texas Air Quality Study / Gulf of Mexico Atmospheric Composition and Climate Study Irregular 4 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime4_8e47_aea0_8c1e_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime4_8e47_aea0_8c1e_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime4_8e47_aea0_8c1e/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime4_8e47_aea0_8c1e.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime4_8e47_aea0_8c1e&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime4_8e47_aea0_8c1e | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/dsg_1min_9669_ff11_e359.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/dsg_1min_9669_ff11_e359 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/dsg_1min_9669_ff11_e359.graph | PMEL Atmospheric Chemistry UBWO2012 1 minute data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry Uintah Basin Winter Ozone Study 2012 1 minute data\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntseries\nid (timeseries id)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\ntime (seconds since 1970-01-01T00:00:00Z)\nDUR_628 (Sample Duration, min)\nIgT_6300 (Seconds since 01-Jan-1904, s)\nAT_3051 (Air Temperature, degree_C)\nRH_910 (RELATIVE HUMIDITY, percent)\nBP_915 (BAROMETRIC PRESSURE, mbar)\nWS_404 (Wind Speed, m s-1)\nWD_412 (Wind Direction (from), degrees_T)\nWU_430 (Zonal Wind, m s-1)\nWV_431 (Meridional Wind, m s-1)\nSASB_1867 (Submicron AeroScat Blue, Mm-1)\nSASG_1868 (Submicron AeroScat Green, Mm-1)\nSASR_1869 (Submicron AeroScat Red, Mm-1)\nASSRH_1876 (Aerosol Scat Nephelometer RH, percent)\nAScAE1_2003 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 1, dimensionless)\nAScAE2_2004 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 2, dimensionless)\nAScAE3_2005 (Aerosol light Scattering Angstrom Exponent for defined Aerosol at wavelength 3, dimensionless)\nASSA1_2006 (Aerosol Single Albedo for defined Aerosol at wavelength 1, dimensionless)\nASSA2_2007 (Aerosol Single Albedo for defined Aerosol at wavelength 2, dimensionless)\nASSA3_2008 (Aerosol Single Albedo for defined Aerosol at wavelength 3, dimensionless)\nAAbAE1_2000 (Aerosol light Absorbtion Angstrom Exponent for defined Aerosol at wavelength 1, dimensionless)\n... (18 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/dsg_1min_9669_ff11_e359_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/dsg_1min_9669_ff11_e359_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/dsg_1min_9669_ff11_e359/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/dsg_1min_9669_ff11_e359.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=dsg_1min_9669_ff11_e359&showErrors=false&email= | PMEL Atmospheric Chemistry | dsg_1min_9669_ff11_e359 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTme2_5f4d_42e7_726a.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTme2_5f4d_42e7_726a | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTme2_5f4d_42e7_726a.graph | PMEL Atmospheric Chemistry VOCALS irregular 2 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry VAMOS Ocean-Cloud-Atmosphere-Land Study - Regional Experiment irregular 2 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTme2_5f4d_42e7_726a_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTme2_5f4d_42e7_726a_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTme2_5f4d_42e7_726a/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTme2_5f4d_42e7_726a.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTme2_5f4d_42e7_726a&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTme2_5f4d_42e7_726a | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_a3a9_5ca8_7938.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_a3a9_5ca8_7938 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/IrregularTime3_a3a9_5ca8_7938.graph | PMEL Atmospheric Chemistry VOCALS irregular 3 data | Pacific Marine Environmental Laboratory (PMEL) Atmospheric Chemistry VAMOS Ocean-Cloud-Atmosphere-Land Study - Regional Experiment irregular 3 data\n\ncdm_data_type = Trajectory\nVARIABLES:\ntraj\nid (trajectory id)\ntime (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlon360 (longitude 360, degrees_east)\nlatitude (degrees_north)\nDUR_628 (Sample Duration, min)\nTIM_627 (Julian Days)\nAOD1_1881 (Aerosol Optical Depth Ch-1)\nAOD2_1882 (Aerosol Optical Depth Ch-2)\nAOD3_1883 (Aerosol Optical Depth Ch-3)\nAOD4_1884 (Aerosol Optical Depth Ch-4)\nAOD5_1885 (Aerosol Optical Depth Ch-5)\nAODMZA_1880 (AOD measurement zenith angle, degrees)\nAODAMS_1879 (AOD measurement airmass, atmosphere)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/IrregularTime3_a3a9_5ca8_7938_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/IrregularTime3_a3a9_5ca8_7938_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/IrregularTime3_a3a9_5ca8_7938/index.htmlTable | http://saga.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/IrregularTime3_a3a9_5ca8_7938.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=IrregularTime3_a3a9_5ca8_7938&showErrors=false&email= | PMEL Atmospheric Chemistry | IrregularTime3_a3a9_5ca8_7938 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2022.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2022 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2022.graph | Saildrone 2022 NOAA SWFSC mission NRT collection | 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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\n... (54 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/all_swfsc_2022_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/all_swfsc_2022_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/all_swfsc_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/all_swfsc_2022.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=all_swfsc_2022&showErrors=false&email= | Saildrone | all_swfsc_2022 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1076_swfsc_2022.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1076_swfsc_2022 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1076_swfsc_2022.graph | Saildrone 2022 NOAA 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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\n... (54 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1076_swfsc_2022_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1076_swfsc_2022_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1076_swfsc_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1076_swfsc_2022.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1076_swfsc_2022&showErrors=false&email= | Saildrone | sd1076_swfsc_2022 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1077_swfsc_2022.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1077_swfsc_2022 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1077_swfsc_2022.graph | Saildrone 2022 NOAA 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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\n... (54 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1077_swfsc_2022_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1077_swfsc_2022_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1077_swfsc_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1077_swfsc_2022.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1077_swfsc_2022&showErrors=false&email= | Saildrone | sd1077_swfsc_2022 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2023.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2023 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2023.graph | Saildrone 2023 NOAA SWFSC NRT Data collection | 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)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\n... (54 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/all_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/all_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/all_swfsc_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/all_swfsc_2023.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=all_swfsc_2023&showErrors=false&email= | Saildrone | all_swfsc_2023 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1048_swfsc_2023.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1048_swfsc_2023 | https://data.pmel.noaa.gov/pmel/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) 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)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\n... (54 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1048_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1048_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1048_swfsc_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1048_swfsc_2023.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1048_swfsc_2023&showErrors=false&email= | Saildrone | sd1048_swfsc_2023 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1060_swfsc_2023.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1060_swfsc_2023 | https://data.pmel.noaa.gov/pmel/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) 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)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\n... (54 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1060_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1060_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1060_swfsc_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1060_swfsc_2023.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1060_swfsc_2023&showErrors=false&email= | Saildrone | sd1060_swfsc_2023 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1096_swfsc_2023.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1096_swfsc_2023 | https://data.pmel.noaa.gov/pmel/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) 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)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\n... (54 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1096_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1096_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1096_swfsc_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1096_swfsc_2023.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1096_swfsc_2023&showErrors=false&email= | Saildrone | sd1096_swfsc_2023 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2017.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2017 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2017.graph | Saildrone PMEL TPOS 2017 Mission, drone 1005 | This file contains the real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). These data have not been Quality Control (QC)�d. This was the first of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific. After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W. They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE. When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N. After crossing the equator, the drones returned to California. SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018. SD-1006 was recovered from San Francisco Bay on May 18, 2018.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\nlatitude (degrees_north)\ntime (seconds since 1970-01-01T00:00:00Z)\nTEMP_O2_STDDEV (Seawater temperature SD, degree_C)\nSW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)\nCHLOR_MEAN (Chlorophyll concentration, microgram L-1)\nRH_MEAN (Relative humidity, percent)\nLW_IRRAD_MEAN (Longwave downwelling radiation, W m-2)\nCDOM_MEAN (CDOM concentration, ppb)\n... (49 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1005_2017_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1005_2017_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1005_2017/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1005_2017.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1005_2017&showErrors=false&email= | NOAA/PMEL | sd1005_2017 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2017.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2017 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2017.graph | Saildrone PMEL TPOS 2017 Mission, drone 1006 | This file contains the real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). These data have not been Quality Control (QC)�d. This was the first of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific. After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W. They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE. When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N. After crossing the equator, the drones returned to California. SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018. SD-1006 was recovered from San Francisco Bay on May 18, 2018.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\nlatitude (degrees_north)\ntime (seconds since 1970-01-01T00:00:00Z)\nTEMP_O2_STDDEV (Seawater temperature SD, degree_C)\nSW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)\nCHLOR_MEAN (Chlorophyll concentration, microgram L-1)\nRH_MEAN (Relative humidity, percent)\nLW_IRRAD_MEAN (Longwave downwelling radiation, W m-2)\nCDOM_MEAN (CDOM concentration, ppb)\n... (49 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1006_2017_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1006_2017_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1006_2017/index.htmlTable | http://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1006_2017.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1006_2017&showErrors=false&email= | NOAA/PMEL | sd1006_2017 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2018.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2018 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2018.graph | Saildrone PMEL TPOS 2018 Mission, drone 1005 | This file contains the real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). These data have not been Quality Control (QC)�d. This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\n... (48 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1005_2018_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1005_2018_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1005_2018/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1005_2018.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1005_2018&showErrors=false&email= | NOAA/PMEL | sd1005_2018 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2018.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2018 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2018.graph | Saildrone PMEL TPOS 2018 Mission, drone 1006 | This file contains the real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). These data have not been Quality Control (QC)�d. This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\n... (48 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1006_2018_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1006_2018_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1006_2018/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1006_2018.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1006_2018&showErrors=false&email= | NOAA/PMEL | sd1006_2018 |