Saildrone Baja field campaign surface and ADCP measurements

Saildrone Baja field campaign surface and ADCP measurements
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DOI10.5067/SDRON-SURF0
Short NameSAILDRONE_BAJA_SURFACE
DescriptionSaildrone 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.
Version1.0
Dataset TypeOPEN
MeasurementAtmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements
Oceans > Ocean Chemistry > Oxygen
Oceans > Salinity/Density > Salinity
Atmosphere > Ocean Winds > Surface Winds
Oceans > Ocean Optics > Chlorophyll
Oceans > Salinity/Density > Conductivity
Oceans > Ocean Temperature > Sea Surface Temperature
Atmosphere > Atmospheric Temperature > Air Temperature
Processing Level2
CoverageRegion: Eastern Pacific
Northernmost Latitude: 37.82 degrees
Southernmost Latitude: 28.01 degrees
Westernmost Longitude: -125.55 degrees
Easternmost Longitude: -115.52 degrees
Time Span: 2018-Apr-11 to 2018-Jun-11
ResolutionSpatial Resolution: 0 km (Along) x 0 km (Across)
ProjectionType: WGS84
Detail:
Ellipsoid:
Latency0 hours
Swath Width0.001 km
Sample Frequency-
Temporal Repeat (Nominal)-
Temporal Repeat (Min)-
Temporal Repeat (Max)-
Platform/Sensor
Saildrone
Platform
Name: Saildrone Unmanned Surface Vehicle (Saildrone)
Orbit Period: 0 minutes
Inclination Angle: 0 degrees
Ascending Node: 1970-Jan-01 00:00:00
/
ADCP
SENSOR
Name: Acoustic Doppler Current Profiler (ADCP)
Swath Width: 0.001 km
Description: SPURS shipboard Accoustic Doppler Current Profiler (eg. os75bb ADCP)

Saildrone
Platform
Name: Saildrone Unmanned Surface Vehicle (Saildrone)
Orbit Period: 0 minutes
Inclination Angle: 0 degrees
Ascending Node: 1970-Jan-01 00:00:00
/
FLUOROMETERS
SENSOR
Name: - (FLUOROMETERS)
Swath Width: 0.001 km
Description: Ecomapper Fluorometer (eg. YSI)

Saildrone
Platform
Name: Saildrone Unmanned Surface Vehicle (Saildrone)
Orbit Period: 0 minutes
Inclination Angle: 0 degrees
Ascending Node: 1970-Jan-01 00:00:00
/
CTD
SENSOR
Name: Conductivity, Temperature, Depth (CTD)
Swath Width: 0.001 km
Description: Saildrone Teledyne CTD (2632)

Saildrone
Platform
Name: Saildrone Unmanned Surface Vehicle (Saildrone)
Orbit Period: 0 minutes
Inclination Angle: 0 degrees
Ascending Node: 1970-Jan-01 00:00:00
/
ANEMOMETERS
SENSOR
Name: - (ANEMOMETERS)
Swath Width: 0.001 km
Description: Saildrone Aanderaa Dissolved Oxygen (710) Sensor 4831

Saildrone
Platform
Name: Saildrone Unmanned Surface Vehicle (Saildrone)
Orbit Period: 0 minutes
Inclination Angle: 0 degrees
Ascending Node: 1970-Jan-01 00:00:00
/
PYROMETERS
SENSOR
Name: - (PYROMETERS)
Swath Width: 0.001 km
Description: Saildrone Heitronics Wing IR Pyrometer (12261)

Saildrone
Platform
Name: Saildrone Unmanned Surface Vehicle (Saildrone)
Orbit Period: 0 minutes
Inclination Angle: 0 degrees
Ascending Node: 1970-Jan-01 00:00:00
/
BAROMETERS
SENSOR
Name: - (BAROMETERS)
Swath Width: 0.001 km
Description: Saildrone Vaisala Barometer (M4030149) PTB210

ProjectSaildrone Baja Field Campaign (Saildrone Baja)
Data ProviderCreator: Saildrone
Release Place: Saildrone Inc. 1050 W Tower Ave, Alameda, CA 94501
Release Date: 2018-Dec-19
Resource: http://podaac.jpl.nasa.gov/saildrone
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
Persistent IDPODAAC-SDRON-SURF0
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Announcements
Data Animationhttps://podaac.jpl.nasa.gov/animations/Saildrone_Baja_2018_Data_Animation
Project Materials
Saildrone Baja Cruise Technical Documentation Packagehttps://podaac-tools.jpl.nasa.gov/drive/files/allData/insitu/L2/saildrone/docs/2018_04_Saildrone_Cruise_Report.pdf
Cruise Report, Data Submission Report, Instrument Calibration Report
Additional Sites
Saildrone Websitehttps://www.saildrone.com/
Saildrone Website
PO.DAAC Saildrone Mission pagehttp://podaac.jpl.nasa.gov/saildrone
Field Campaign and Instrument Overview
Citation Saildrone. 2018. Saildrone Baja field campaign surface and ADCP measurements. Ver. 1.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/SDRON-SURF0.

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For more information see Data Citations and Acknowledgments.

Journal Reference Mordy, CW et al. 2017. Oceanography 30(2): 113-115