First Official Release of the Saildrone Baja Field Campaign Dataset
[02-Jan-19] The PO.DAAC is pleased to announce the availability and first official release of the Saildrone Baja Field Campaign Dataset. Saildrone
is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments and equipped with a suite of sensors providing high quality, georeferenced, multi-parameter surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The Saildrone Baja campaign was a 60-day cruise from San Francisco Bay along the US/Mexico coast to Guadalupe Island and back over the period 11 April to 11 June 2018. The single deployed saildrone carried a range of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Further information on the Saildrone platform and the scientific and data validation objectives of this Baja cruise are available at https://podaac.jpl.nasa.gov/Saildrone
. Support for the Saildrone Baja campaign was from the Schmidt Family Foundation, Saildrone, Inc., and NASA's Physical Oceanography Program (grant number 80NSSC18K0837).
The Saildrone Baja dataset is described and discoverable via the PO.DAAC data portal
. Both associated Saildrone surface measurement and ADCP data products are in netCDF4 file format with CF/ACDD standards compliant metadata. Access to these data is via PO.DAAC's public FTP site
but preferentially via PODAAC Drive
going forward given deprecation of PO.DAAC's public FTP site
. The data are additionally accessible via OPeNDAP
. Accompanying technical documentation includes the Saildrone Baja Cruise report. This report
is available online on the site together with data reader software
. Users are strongly encouraged to review the instrument calibration section of the cruise report and especially the information provided regarding limitations of the current version of the IR sensor data.
Citation: Mordy, C.W. et al Oceanography 30(2):113-115, https://doi.org/10.5670/oceanog.2017.230
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