N: 71.6 S: 65.2 E: -157.2 W: -168.5
Description
The Saildrone Arctic 2022 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 2022 Saildrone Arctic campaign featured two Saildrone USVs deployed during a 60-day cruise in the Bering and Chukchi Seas, spanning from 18 June 2022 to 17 August 2022. The primary mission objective for 2022 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, specifically in collaboration with the Distributed Biological Observatory (DBO; https://www.pmel.noaa.gov/dbo/; https://dbo.cbl.umces.edu/). Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2022_Arctic_Cruise_Report.pdf <p>
During the Arctic campaign, Saildrones SD-1041 and SD-1046 undertook distinct trajectories to cover designated areas. SD-1041 traversed repeat transects from Point Hope, AK southwestward to near the International Date Line, following DBO line #3 (https://dbo.cbl.umces.edu/images/Frey_DBOmap_IceEdge2022.png). In contrast, SD-1046 ventured northward to DBO line #4 and, upon sea ice retreat, proceeded further north to DBO line #5. 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.
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The Saildrone Arctic 2022 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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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 | -9999 | N/A | 1 | N/A |
| BARO_PRES_STDDEV | Air pressure SD | hPa | double | -9999 | N/A | 1 | N/A |
| BKSCT_RED_MEAN | Optical backscatter at 650 nm | (m sr)-1 | double | -9999 | N/A | 1 | N/A |
| BKSCT_RED_STDDEV | Optical backscatter at 650 nm SD | (m sr)-1 | double | -9999 | N/A | 1 | N/A |
| bt_amp | bottom track echo amplitude | Counts | double | -9999 | N/A | 1 | N/A |
| bt_cor | Bottom track correlation | Counts | double | -9999 | N/A | 1 | N/A |
| bt_percent_good | Bottom track percent good | Percent | double | -9999 | N/A | 1 | N/A |
| bt_range | Bottom track range | cm | double | -9999 | N/A | 1 | N/A |
| bt_vel_east | Bottom track velocity east | (mm)s-1 | double | -9999 | N/A | 1 | N/A |
| bt_vel_north | Bottom track velocity north | (mm)s-1 | double | -9999 | N/A | 1 | N/A |
| bt_vel_up | Bottom track velocity up | (mm)s-1 | double | -9999 | N/A | 1 | N/A |
| CDOM_MEAN | CDOM concentration | ppb | double | -9999 | N/A | 1 | N/A |
| CDOM_STDDEV | CDOM concentration SD | ppb | double | -9999 | N/A | 1 | N/A |
| cell_depth | Depth of ADCP Measurement | m | double | -9999 | 4.2 to 102.2 | 1 | N/A |
| CHLOR_WETLABS_MEAN | Chlorophyll concentration | microgram L-1 | double | -9999 | N/A | 1 | N/A |
| CHLOR_WETLABS_STDDEV | Chlorophyll concentration SD | microgram L-1 | double | -9999 | N/A | 1 | N/A |
| COG | Course over ground | degree | double | -9999 | N/A | 1 | N/A |
| COG_FILTERED_MEAN | Course over ground one minute mean | degree | double | -9999 | N/A | 1 | N/A |
| COG_FILTERED_STDDEV | Course over ground one minute stddev | degree | double | -9999 | N/A | 1 | N/A |
| COND_SBE37_MEAN | Seawater conductivity | mS cm-1 | double | -9999 | N/A | 1 | N/A |
| COND_SBE37_STDDEV | Seawater conductivity SD | mS cm-1 | double | -9999 | N/A | 1 | N/A |
| correlation | Correlation | Counts | double | -9999 | N/A | 1 | N/A |
| echo_intensity | Echo amplitude | Counts | double | -9999 | N/A | 1 | N/A |
| error_vel | Error of velocity | m s-1 | double | -9999 | N/A | 1 | N/A |
| GUST_WND_MEAN | Wind gust speed | m s-1 | double | -9999 | N/A | 1 | N/A |
| GUST_WND_STDDEV | Wind gust speed SD | m s-1 | double | -9999 | N/A | 1 | N/A |
| HDG | Vehicle heading | degree | double | -9999 | N/A | 1 | N/A |
| HDG_FILTERED_MEAN | Vehicle heading one minute mean | degree | double | -9999 | N/A | 1 | N/A |
| HDG_FILTERED_STDDEV | Vehicle heading one minute stddev | degree | double | -9999 | N/A | 1 | N/A |
| HDG_WING | Wing heading | degree | double | -9999 | N/A | 1 | N/A |
| heading | Vehicle heading | Degree | double | -9999 | N/A | 1 | N/A |
| latitude | Latitude | degrees_north | double | -9999 | N/A | 1 | N/A |
| longitude | Longitude | degrees_east | double | -9999 | N/A | 1 | N/A |
| nav_end_latitude | Latitude of ensemble end | degrees_north | double | -9999 | N/A | 1 | N/A |
| nav_end_longitude | Longitude of ensemble end | degrees_east | double | -9999 | N/A | 1 | N/A |
| nav_end_time | Navigation end time | seconds since 2022-06-18T00:02:30 | int64 | -9999 | N/A | 1 | N/A |
| nav_start_latitude | Latitude of ensemble start | degrees_north | double | -9999 | N/A | 1 | N/A |
| nav_start_longitude | Longitude of ensemble start | degrees_east | double | -9999 | N/A | 1 | N/A |
| nav_start_time | Navigation start time | seconds since 2022-06-17T23:57:30 | int64 | -9999 | N/A | 1 | N/A |
| O2_CONC_SBE37_MEAN | Oxygen concentration | micromol L-1 | double | -9999 | N/A | 1 | N/A |
| O2_CONC_SBE37_STDDEV | Oxygen concentration SD | micromol L-1 | double | -9999 | N/A | 1 | N/A |
| O2_SAT_SBE37_MEAN | Oxygen saturation | percent | double | -9999 | N/A | 1 | N/A |
| O2_SAT_SBE37_STDDEV | Oxygen saturation SD | percent | double | -9999 | N/A | 1 | N/A |
| obs | Unique number for each sample | N/A | int64 | N/A | N/A | 1 | N/A |
| PAR_AIR_MEAN | Photosynthetically active radiation in air | micromol s-1 m-2 | double | -9999 | N/A | 1 | N/A |
| PAR_AIR_STDDEV | Photosynthetically active radiation in air SD | micromol s-1 m-2 | double | -9999 | N/A | 1 | N/A |
| percent_good | Total percent of good pings per ensemble | Percent | double | -9999 | N/A | 1 | N/A |
| percent_good_3_beam | Percent of good pings per ensemble using 3-beam solution | Percent | double | -9999 | N/A | 1 | N/A |
| percent_good_4_beam | Percent of good pings per ensemble using 4-beam solution | Percent | double | -9999 | N/A | 1 | N/A |
| pitch | platform pitch angle | Degree | double | -9999 | N/A | 1 | N/A |