Saildrone Baja field campaign surface and ADCP measurements
(SAILDRONE_BAJA_SURFACE)
2 Publications Cited this Dataset
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Publications citing Saildrone Baja field campaign surface and ADCP measurements
Citation metrics available for years (2014-2022)
Year | Citation |
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2019 | Saildrone. Saildrone Baja Field Campaign Surface and ADCP Measurements. Ver. 1.0. PO.DAAC, CA, USA, 2018. Available online: http://dx.doi.org/10.5067/SDRON-SURF0 (accessed on 19 December 2018). Using saildrones to validate satellite-derived sea surface salinity and sea surface temperature along the California/Baja Coast, Remote Sensing ,https://doi.org/10.3390/rs11171964 |
2020 | Saildrone, 2018: Saildrone Baja field campaign surface and ADCP measurements, version 1.0. PO.DAAC, accessed 2 January 2019, http://doi.org/10.5067/SDRON-SURF0. Saildrone: Adaptively sampling the marine environment, Bulletin of the American Meterological Society ,https://doi.org/10.1175/BAMS-D-19-0015.1 |
Version | 1.0 |
Processing Level | 2 |
Start/Stop Date | 2018-Apr-11 to 2018-Jun-11 |
Short Name | SAILDRONE_BAJA_SURFACE |
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 Baja campaign was a 60-day cruise from San Francisco Bay, down along the US/Mexico coast to Guadalupe Island and back again over the period 11 April 2018 to 11 June 2018. Repeat surveys were taken around NDBC moored buoys, and during the final week of the cruise a targeted front was sampled. Scientific objectives included studies of upwelling and frontal region dynamics, air-sea interactions, and diurnal warming effects, while its validation objectives included establishing the utility of data from the saildrone platform for assessment of satellite data accuracy and model assimilation. During the Baja campaign, the single deployed saildrone was 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 Baja dataset is comprised of one data file with the 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) for the entire cruise at 1 minute temporal resolution. A second file contains the ADCP current vector data that is depth-resolved to 100m at 2m intervals and binned temporally at 5 minute resolution. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification. |
DOI | 10.5067/SDRON-SURF0 |
Measurement | OCEANS > SALINITY/DENSITY > CONDUCTIVITY OCEANS > OCEAN CHEMISTRY > OXYGEN OCEANS > OCEAN OPTICS > CHLOROPHYLL OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE ATMOSPHERE > ATMOSPHERIC TEMPERATURE > AIR TEMPERATURE ATMOSPHERE > ATMOSPHERIC PRESSURE > ATMOSPHERIC PRESSURE MEASUREMENTS ATMOSPHERE > OCEAN WINDS > SURFACE WINDS OCEANS > SALINITY/DENSITY > SALINITY |
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 FLUOROMETERS SENSOR Name: Fluorometer (FLUOROMETERS) 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. Show More |
Project | Saildrone Baja Field Campaign (Saildrone Baja) |
Data Provider | Publisher: Saildrone Inc Creator: Saildrone Release Place: Saildrone Inc. 1050 W Tower Ave, Alameda, CA 94501 Release Date: 2018-Dec-19 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, Baja, California, eastern Pacific, insitu |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Coverage North Bounding Coordinate: 37.82 degrees South Bounding Coordinate: 28.01 degrees West Bounding Coordinate: -125.55 degrees East Bounding Coordinate: -115.52 degrees Time Span: 2018-Apr-11 to 2018-Jun-11 Granule Time Span: 2018-Apr-11 to 2018-Jun-11 |
DIRECT ACCESS | |
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Available for access in-region with AWS Cloud | |
Region | |
us-west-2 | |
podaac-ops-cumulus-protected/SAILDRONE_BAJA_SURFACE/ | |
podaac-ops-cumulus-public/SAILDRONE_BAJA_SURFACE/ | |
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Get AWS S3 Credentials | Documentation |
Name | Long Name | Unit |
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BARO_PRES_MEAN | Air pressure | hPa |
BARO_PRES_STDDEV | Air pressure SD | hPa |
BKSCT_RED_MEAN | Optical backscatter at 650 nm | (m sr)-1 |
BKSCT_RED_STDDEV | Optical backscatter at 650 nm SD | (m sr)-1 |
bt_amp | bottom track echo amplitude | Counts |
bt_cor | Bottom track correlation | counts |
bt_percent_good | Bottom track percent good | |
bt_range | Bottom track range | cm |
bt_vel_east | bottom track velocity east | (mm)s-1 |
bt_vel_north | bottom track velocity north | (mm)s-1 |
bt_vel_up | bottom track velocity up | (mm)s-1 |
CDOM_MEAN | CDOM concentration | ppb |
CDOM_STDDEV | CDOM concentration SD | ppb |
cell_depth | Depth of ADCP Measurement | m |
CHLOR_MEAN | Chlorophyll concentration | microgram L-1 |
CHLOR_STDDEV | Chlorophyll concentration SD | microgram L-1 |
COG | Course over ground | degree |
COND_MEAN | Seawater conductivity | milliS cm-1 |
COND_STDDEV | Seawater conductivity SD | milliS cm-1 |
correlation | Correlation | Counts |
echo_intensity | Echo amplitude | Counts |
error_vel | Error of velocity | ms-1 |
GUST_WND_MEAN | Wind gust speed | m s-1 |
GUST_WND_STDDEV | Wind gust speed SD | m s-1 |
HDG | Vehicle heading | degree |
HDG_WING | Wing heading | degree |
heading | Vehicle heading | Degree |
latitude | latitude | degrees_north |
longitude | longitude | degrees_east |
nav_end_latitude | Latitude of ensemble start | degrees_north |
nav_end_longitude | Longitude of ensemble end | degrees_east |
nav_end_time | Navigation end time | Seconds since 1970-01-01T00:00:00Z |
nav_start_latitude | Latitude of ensemble start | degrees_north |
nav_start_longitude | Longitude of ensemble start | degrees_east |
nav_start_time | Navigation start time | Seconds since 1970-01-01T00:00:00Z |
O2_CONC_UNCOR_MEAN | Oxygen concentration | micromol L-1 |
O2_CONC_UNCOR_STDDEV | Oxygen concentration SD | micromol L-1 |
O2_SAT_MEAN | Oxygen saturation | percent |
O2_SAT_STDDEV | Oxygen saturation SD | percent |
percent_good | Percent good using 3 or 4 beam solutions | Percent |
percent_good_3_beam | Percent good using 3 beam solution | Percent |
percent_good_4_beam | Percent good using 4 beam solution | Percent |
PITCH | Pitch | degree |
pitch | Platform pitch angle | degree |
RH_MEAN | Relative humidity | percent |
RH_STDDEV | Relative humidity SD | percent |
ROLL | Roll | degree |
roll | Platform roll angle | Degree |
SAL_MEAN | Seawater salinity | |
SAL_STDDEV | Seawater salinity SD | |
ship_vel_east | Ship velocity eastward | (mm)s-1 |
ship_vel_north | Ship velocity northward | (mm)s-1 |
ship_vel_up | Ship velocity upward | (mm)s-1 |
SOG | Speed over ground | m s-1 |
TEMP_AIR_MEAN | Air temperature | degrees_c |
TEMP_AIR_STDDEV | Air temperature SD | degrees_c |
TEMP_CTD_MEAN | Seawater temperature | degrees_c |
TEMP_CTD_STDDEV | Seawater temperature SD | degrees_c |
TEMP_IR_UNCOR_MEAN | Skin temperature | degrees_c |
TEMP_IR_UNCOR_STDDEV | Skin temperature SD | degrees_c |
TEMP_O2_MEAN | Seawater temperature | degrees_c |
TEMP_O2_STDDEV | Seawater temperature SD | degrees_c |
time | time in seconds | seconds since 1970-01-01T00:00:00Z |
trajectory | Trajectory/Drone ID | |
UWND_MEAN | Eastward wind speed | m s-1 |
UWND_STDDEV | Eastward wind speed SD | m s-1 |
vel_east | East velocity | ms-1 |
vel_north | North velocity | ms-1 |
vel_up | Vertical velocity up | ms-1 |
VWND_MEAN | Northward wind speed | m s-1 |
VWND_STDDEV | Northward wind speed SD | m s-1 |
WING_ANGLE | Wing angle | degree |
WWND_MEAN | Downward wind speed | m s-1 |
WWND_STDDEV | Downward wind speed SD | m s-1 |
GENERAL DOCUMENTATION | |
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IMPORTANT NOTICE | |
DATA CITATION POLICY | |
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DATA RECIPE | |
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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. 2018. Saildrone Baja Field Campaign Products. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/SDRON-SURF0
For more information see Data Citations and Acknowledgments.
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Journal Reference | Mordy, CW et al. 2017. Oceanography 30(2): 113-115 . |