Saildrone Arctic field campaign surface and ADCP measurements for NOPP-MISST project
(SAILDRONE_ARCTIC)
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Publications citing Saildrone Arctic field campaign surface and ADCP measurements for NOPP-MISST project
Citation metrics available for years (2014-2021)
| Year | Citation |
|---|---|
| 2021 | Using Saildrones to Validate Arctic Sea-Surface Salinity from the SMAP Satellite and from Ocean Models, Journal,10.3390/rs13050831 |
| Version | 1.0 |
| Processing Level | 2 |
| Start/Stop Date | 2019-May-14 to 2019-Oct-11 |
| Short Name | SAILDRONE_ARCTIC |
| Description | Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone Arctic campaign involved the deployment of a fleet of 5 saildrones, jointly funded by NASA and NOAA, from Dutch Harbor, Alaska, within the Bering and Chukchi Seas to the ice edge and back over a 150-day period from 15 May 2019 to 11 October 2019. Scientific objectives include collecting upper ocean temperature profiles with a full suite of ocean measurements, which could lead to significant improvements in modeling of diurnal warming. Additionally, these new data will provide additional Arctic SST observations to benefit SST algorithm development and validation, and collected additional data for studies of air- sea-ice interactions. For the Arctic cruises, saildrones were equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone Arctic dataset is comprised of 3 data files for each of the two NASA-funded saildrones deployed. The one file type contains saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) spanning the entire cruise at 1 minute temporal resolution. The second file type contains the ADCP current vector data for each of the deployed saildrones that is depth-resolved to 100m at 2m intervals and binned temporally at 1 minute resolution. The third file type, contains the temperature logger measurement data previously described. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification. |
| DOI | 10.5067/SDRON-NOPP0 |
| Measurement | OCEANS > SALINITY/DENSITY > CONDUCTIVITY OCEANS > SALINITY/DENSITY > SALINITY OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE OCEANS > OCEAN CHEMISTRY > OXYGEN ATMOSPHERE > ATMOSPHERIC TEMPERATURE > AIR TEMPERATURE ATMOSPHERE > ATMOSPHERIC PRESSURE > ATMOSPHERIC PRESSURE MEASUREMENTS OCEANS > OCEAN OPTICS > FLUORESCENCE ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS |
| Platform/Sensor | Saildrone / Platform Name: Saildrone Unmanned Surface Vehicle (Saildrone) Orbit Period: 0.0 minutes Inclination Angle: 0.0 degrees PYROMETERS SENSOR Name: Heitronics Wing IR Pyrometer (PYROMETERS) Swath Width: 0.001 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Saildrone / Platform Name: Saildrone Unmanned Surface Vehicle (Saildrone) Orbit Period: 0.0 minutes Inclination Angle: 0.0 degrees ADCP SENSOR Name: Acoustic Doppler Current Profiler (ADCP) Swath Width: 0.001 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Saildrone / Platform Name: Saildrone Unmanned Surface Vehicle (Saildrone) Orbit Period: 0.0 minutes Inclination Angle: 0.0 degrees CTD SENSOR Name: Conductivity, Temperature, Depth (CTD) Swath Width: 0.001 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Saildrone / Platform Name: Saildrone Unmanned Surface Vehicle (Saildrone) Orbit Period: 0.0 minutes Inclination Angle: 0.0 degrees ANEMOMETERS SENSOR Name: Aanderaa Dissolved Oxygen (710) Sensor 4831 (ANEMOMETERS) Swath Width: 0.001 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Saildrone / Platform Name: Saildrone Unmanned Surface Vehicle (Saildrone) Orbit Period: 0.0 minutes Inclination Angle: 0.0 degrees FLUOROMETERS SENSOR Name: Fluorometer (FLUOROMETERS) Swath Width: 0.001 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. Show More |
| Project | NOPP MISST Project 2018-20 (NOPP_MISST) |
| Data Provider | Publisher: Saildrone Inc Creator: Saildrone Release Place: Saildrone Inc. 1050 W Tower Ave, Alameda, CA 94501 Release Date: 2020-May-20 Resource: http://podaac.jpl.nasa.gov/saildrone |
| Format | netCDF-4 |
| Keyword(s) | CTD, ADCP, fluorometer, anemometer, surface, trajectory, saildrone, chlorophyll-a, oxygen concentration, wind speed, wind direction, Salinity, Conductivity, Temperature, Arctic, NOPP, MISST, eastern Pacific, insitu |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Coverage Region: ARCTIC Region: ARCTIC North Bounding Coordinate: 75.5 degrees South Bounding Coordinate: 53.8 degrees West Bounding Coordinate: -168.7 degrees East Bounding Coordinate: -146.1 degrees Time Span: 2019-May-14 to 2019-Oct-11 Granule Time Span: 2019-May-14 to 2019-Oct-11 |
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| us-west-2 | |
| podaac-ops-cumulus-protected/SAILDRONE_ARCTIC/ | |
| podaac-ops-cumulus-public/SAILDRONE_ARCTIC/ | |
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Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
| Citation | Saildrone. 2020. Saildrone Arctic NOPP-MISST Field Campaign Products. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/SDRON-NOPP0
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Mordy, CW et al. 2017. Oceanography 30(2): 113-115 . |
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