N: 75.5 S: 53.8 E: -146.1 W: -168.7
Description
The Saildrone Arctic 2019 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2019 Saildrone Arctic campaign featured six Saildrone USVs (jointly funded by NOAA and NASA) deployed during a 150-day cruise in the Bering and Chukchi Seas, spanning from 14 May 2019 to 11 October 2019. The primary mission objective for 2019 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, which could lead to significant improvements in modeling of diurnal warming and understanding of the marginal ice zones. Additionally, these new data will provide additional Arctic SST observations to benefit SST algorithm development and validation, and for studies of air- sea-ice interactions. Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2019_Arctic_Cruise_Report.pdf <p>
During the Arctic campaign, NASA-funded Saildrones SD-1036 and SD-1037 undertook transects in the Chukchi Sea, approaching the sea ice edge to measure air-sea heat and momentum fluxes in the ocean near sea ice and to validate satellite sea-surface temperature measurements in the Arctic. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.<p>
The Saildrone Arctic 2019 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.
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Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Validation of forecasted surface sensible and latent heat fluxes by GFS | Hunter, Hope, Zhang, Chidong, Zhang, Dongxiao, Horowitz, Hannah M. | Salinity, TEMPERATURE PROFILES, Conductivity, Sea Surface Temperature, Oxygen, Chlorophyll, Fluorescence, Photosynthetically Active Radiation, Surface Winds, Wave Height, Wave Period, Ocean Currents, Sea Level Pressure, Water Vapor Indicators, Air Temperature, Surface Winds | |
| Assessment of Accuracy of Moderate-Resolution Imaging Spectroradiometer Sea Surface Temperature at High Latitudes Using Saildrone Data | Jia, Chong, Minnett, Peter J., Szczodrak, Malgorzata | Surface Temperature, Skin Temperature, Upper Air Temperature, Air Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Atmospheric Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Altitude, Boundary Layer Winds, Pressure Thickness, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Relative Humidity, Cloud Fraction, Geopotential Height, Ozone Profiles, Salinity, TEMPERATURE PROFILES, Conductivity, Sea Surface Temperature, Oxygen, Chlorophyll, Fluorescence, Photosynthetically Active Radiation, Surface Winds, Wave Height, Wave Period, Ocean Currents, Water Vapor Indicators | |
| High latitude sea surface skin temperatures derived from Saildrone infrared measurements | Jia, Chong, Minnett, Peter J., Szczodrak, Malgorzata, Izaguirre, Miguel | Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Pressure Thickness, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Relative Humidity, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Cloud Fraction, Altitude, Geopotential Height, Ozone Profiles, Surface Temperature, Skin Temperature, Atmospheric Winds, Surface Winds, Atmospheric Pressure, Total Precipitable Water, Oxygen Compounds, Boundary Layer Winds, Salinity, TEMPERATURE PROFILES, Conductivity, Sea Surface Temperature, Oxygen, Chlorophyll, Fluorescence, Photosynthetically Active Radiation, Surface Winds, Wave Height, Wave Period, Ocean Currents, Water Vapor Indicators | |
| Ocean warm skin signals observed by Saildrone at high latitudes | Jia, Chong, Minnett, Peter J. | Salinity, TEMPERATURE PROFILES, Conductivity, Sea Surface Temperature, Oxygen, Chlorophyll, Fluorescence, Photosynthetically Active Radiation, Surface Winds, Wave Height, Wave Period, Ocean Currents, Sea Level Pressure, Water Vapor Indicators, Air Temperature, Surface Winds | |
| Significant diurnal warming events observed by Saildrone at high latitudes | Jia, Chong, Minnett, Peter J., Luo, Bingkun | Salinity, TEMPERATURE PROFILES, Conductivity, Sea Surface Temperature, Oxygen, Chlorophyll, Fluorescence, Photosynthetically Active Radiation, Surface Winds, Wave Height, Wave Period, Ocean Currents, Sea Level Pressure, Water Vapor Indicators, Air Temperature, Surface Winds | |
| Validation of OSCAR surface currents in the western Arctic marginal seas against saildrone observations | Chi, NanHsun, Zhang, Dongxiao, Zhang, Chidong | Ocean Currents, Salinity, TEMPERATURE PROFILES, Conductivity, Sea Surface Temperature, Oxygen, Chlorophyll, Fluorescence, Photosynthetically Active Radiation, Surface Winds, Wave Height, Wave Period, Sea Level Pressure, Water Vapor Indicators, Air Temperature, Surface Winds, Salinity |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| BARO_PRES_MEAN | Air pressure | hPa | double | N/A | N/A | 1 | N/A |
| BARO_PRES_STDDEV | Air pressure SD | hPa | double | N/A | N/A | 1 | N/A |
| bt_amp | bottom track echo amplitude | Counts | double | N/A | N/A | 1 | N/A |
| bt_cor | Bottom track correlation | Counts | double | N/A | N/A | 1 | N/A |
| bt_percent_good | Bottom track percent good | Percent | double | N/A | N/A | 1 | N/A |
| bt_range | Bottom track range | cm | double | N/A | N/A | 1 | N/A |
| bt_vel_east | Bottom track velocity east | (mm)s-1 | double | N/A | N/A | 1 | N/A |
| bt_vel_north | Bottom track velocity north | (mm)s-1 | double | N/A | N/A | 1 | N/A |
| bt_vel_up | Bottom track velocity up | (mm)s-1 | double | N/A | N/A | 1 | N/A |
| cell_depth | Depth of ADCP Measurement | m | double | N/A | 4.2 to 102.2 | 1 | N/A |
| CHLOR_RBR_MEAN | Chlorophyll concentration | microgram L-1 | double | N/A | N/A | 1 | N/A |
| CHLOR_RBR_STDDEV | Chlorophyll concentration SD | microgram L-1 | double | N/A | N/A | 1 | N/A |
| CHLOR_WETLABS_MEAN | Chlorophyll concentration | microgram L-1 | double | N/A | N/A | 1 | N/A |
| CHLOR_WETLABS_STDDEV | Chlorophyll concentration SD | microgram L-1 | double | N/A | N/A | 1 | N/A |
| COG | Course over ground | degree | double | N/A | N/A | 1 | N/A |
| COG_FILTERED_MEAN | Course over ground one minute mean | degree | double | N/A | N/A | 1 | N/A |
| COG_FILTERED_STDDEV | Course over ground one minute stddev | degree | double | N/A | N/A | 1 | N/A |
| COND_RBR_MEAN | Seawater conductivity | mS cm-1 | double | N/A | N/A | 1 | N/A |
| COND_RBR_STDDEV | Seawater conductivity SD | mS cm-1 | double | N/A | N/A | 1 | N/A |
| COND_SBE37_MEAN | Seawater conductivity | mS cm-1 | double | N/A | N/A | 1 | N/A |
| COND_SBE37_STDDEV | Seawater conductivity SD | mS cm-1 | double | N/A | N/A | 1 | N/A |
| correlation | Correlation | Counts | double | N/A | N/A | 1 | N/A |
| echo_intensity | Echo amplitude | Counts | double | N/A | N/A | 1 | N/A |
| error_vel | Error of velocity | ms-1 | double | N/A | N/A | 1 | N/A |
| GUST_WND_MEAN | Wind gust speed | m s-1 | double | N/A | N/A | 1 | N/A |
| GUST_WND_STDDEV | Wind gust speed SD | m s-1 | double | N/A | N/A | 1 | N/A |
| HDG | Vehicle heading | degree | double | N/A | N/A | 1 | N/A |
| HDG_FILTERED_MEAN | Vehicle heading one minute mean | degree | double | N/A | N/A | 1 | N/A |
| HDG_FILTERED_STDDEV | Vehicle heading one minute stddev | degree | double | N/A | N/A | 1 | N/A |
| HDG_WING | Wing heading | degree | double | N/A | N/A | 1 | N/A |
| heading | Vehicle heading | Degree | double | N/A | N/A | 1 | N/A |
| latitude | Latitude | degrees_north | double | N/A | N/A | 1 | N/A |
| longitude | Longitude | degrees_east | double | N/A | N/A | 1 | N/A |
| nav_end_latitude | Latitude of ensemble end | degrees_north | double | N/A | N/A | 1 | N/A |
| nav_end_longitude | Longitude of ensemble end | degrees_east | double | N/A | N/A | 1 | N/A |
| nav_end_time | Navigation end time | seconds since 1970-01-01T00:00:00+00:00 | double | N/A | N/A | 1 | N/A |
| nav_start_latitude | Latitude of ensemble start | degrees_north | double | N/A | N/A | 1 | N/A |
| nav_start_longitude | Longitude of ensemble start | degrees_east | double | N/A | N/A | 1 | N/A |
| nav_start_time | Navigation start time | seconds since 1970-01-01T00:00:00+00:00 | double | N/A | N/A | 1 | N/A |
| O2_CONC_RBR_MEAN | Oxygen concentration | micromol L-1 | double | N/A | N/A | 1 | N/A |
| O2_CONC_RBR_STDDEV | Oxygen concentration SD | micromol L-1 | double | N/A | N/A | 1 | N/A |
| O2_CONC_SBE37_MEAN | Oxygen concentration | micromol L-1 | double | N/A | N/A | 1 | N/A |
| O2_CONC_SBE37_STDDEV | Oxygen concentration SD | micromol L-1 | double | N/A | N/A | 1 | N/A |
| O2_SAT_RBR_MEAN | Oxygen saturation | percent | double | N/A | N/A | 1 | N/A |
| O2_SAT_RBR_STDDEV | Oxygen saturation SD | percent | double | N/A | N/A | 1 | N/A |
| O2_SAT_SBE37_MEAN | Oxygen saturation | percent | double | N/A | N/A | 1 | N/A |
| O2_SAT_SBE37_STDDEV | Oxygen saturation SD | percent | double | N/A | N/A | 1 | N/A |
| PAR_AIR_MEAN | Photosynthetically active radiation in air | micromol s-1 m-2 | double | N/A | N/A | 1 | N/A |
| PAR_AIR_STDDEV | Photosynthetically active radiation in air SD | micromol s-1 m-2 | double | N/A | N/A | 1 | N/A |
| percent_good | Total percent of good pings per ensemble | Percent | double | N/A | N/A | 1 | N/A |