Saildrone: adaptively sampling the marine environment

dc.contributor.author Gentemann, Chelle L.
dc.contributor.author Scott, Joel P.
dc.contributor.author Mazzini, Piero L. F.
dc.contributor.author Pianca, Cassia
dc.contributor.author Akella, Santha
dc.contributor.author Minnett, Peter J.
dc.contributor.author Cornillon, Peter
dc.contributor.author Fox-Kemper, Baylor
dc.contributor.author Cetinić, Ivona
dc.contributor.author Chin, T. Mike
dc.contributor.author Gomez-Valdes, Jose
dc.contributor.author Vazquez-Cuervo, Jorge
dc.contributor.author Tsontos, Vardis
dc.contributor.author Yu, Lisan
dc.contributor.author Jenkins, Richard
dc.contributor.author De Halleux, Sebastien
dc.contributor.author Peacock, David
dc.contributor.author Cohen, Nora
dc.date.accessioned 2021-02-18T22:41:03Z
dc.date.available 2021-02-18T22:41:03Z
dc.date.issued 2020-06-01
dc.description Author Posting. © American Meteorological Society, 2020. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Bulletin of the American Meteorological Society 101(6), (2020): E744-E762, doi:10.1175/BAMS-D-19-0015.1. en_US
dc.description.abstract From 11 April to 11 June 2018 a new type of ocean observing platform, the Saildrone surface vehicle, collected data on a round-trip, 60-day cruise from San Francisco Bay, down the U.S. and Mexican coast to Guadalupe Island. The cruise track was selected to optimize the science team’s validation and science objectives. The validation objectives include establishing the accuracy of these new measurements. The scientific objectives include validation of satellite-derived fluxes, sea surface temperatures, and wind vectors and studies of upwelling dynamics, river plumes, air–sea interactions including frontal regions, and diurnal warming regions. On this deployment, the Saildrone carried 16 atmospheric and oceanographic sensors. Future planned cruises (with open data policies) are focused on improving our understanding of air–sea fluxes in the Arctic Ocean and around North Brazil Current rings. en_US
dc.description.sponsorship The Saildrone data collection mission was sponsored by the Saildrone Award, an annual data collection mission awarded by Saildrone Inc., and the Schmidt Family Foundation. The research was funded by the NASA Physical Oceanography Program Grant 80NSSC18K0837 and 80NSSC18K1441. The work by T. M. Chin, J. Vazquez-Cuerzo, and V. Tsontos was carried out at the Jet Propulsion Laboratory (JPL), California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). Piero L.F. Mazzini was supported by California Sea Grant Award NA18OAR4170073. We thank CeNCOOS for providing the HF radar data in the Gulf of the Farallones. Jose Gomez-Valdes was supported by CONACYT Grant 257125, and by CICESE. Work by Joel Scott and Ivona Cetinic was supported through NASA PACE. The work by Lisan Yu was supported by NOAA Ocean Observing and Monitoring Division under Grant NA14OAR4320158. en_US
dc.identifier.citation Gentemann, C. L., Scott, J. P., Mazzini, P. L. F., Pianca, C., Akella, S., Minnett, P. J., Cornillon, P., Fox-Kemper, B., Cetinic, I., Chin, T. M., Gomez-Valdes, J., Vazquez-Cuervo, J., Tsontos, V., Yu, L., Jenkins, R., De Halleux, S., Peacock, D., & Cohen, N. (2020). Saildrone: adaptively sampling the marine environment. Bulletin of the American Meteorological Society, 101(6), E744-E762. en_US
dc.identifier.doi 10.1175/BAMS-D-19-0015.1
dc.identifier.uri https://hdl.handle.net/1912/26706
dc.publisher American Meteorological Society en_US
dc.relation.uri https://doi.org/10.1175/BAMS-D-19-0015.1
dc.title Saildrone: adaptively sampling the marine environment en_US
dc.type Article en_US
dspace.entity.type Publication
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