Saildrone: adaptively sampling the marine environment

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:10.11...

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Published in:Bulletin of the American Meteorological Society
Main Authors: Gentemann, Chelle L., Scott, Joel P., Mazzini, Piero L. F., Pianca, Cassia, Akella, Santha, Minnett, Peter J., Cornillon, Peter, Fox-Kemper, Baylor, Cetinić, Ivona, Chin, T. Mike, Gomez-Valdes, Jose, Vazquez-Cuervo, Jorge, Tsontos, Vardis, Yu, Lisan, Jenkins, Richard, De Halleux, Sebastien, Peacock, David, Cohen, Nora
Format: Article in Journal/Newspaper
Language:unknown
Published: American Meteorological Society 2020
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Online Access:https://hdl.handle.net/1912/26706
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spelling ftwhoas:oai:darchive.mblwhoilibrary.org:1912/26706 2023-05-15T15:15:21+02:00 Saildrone: adaptively sampling the marine environment Gentemann, Chelle L. Scott, Joel P. Mazzini, Piero L. F. Pianca, Cassia Akella, Santha Minnett, Peter J. Cornillon, Peter Fox-Kemper, Baylor Cetinić, Ivona Chin, T. Mike Gomez-Valdes, Jose Vazquez-Cuervo, Jorge Tsontos, Vardis Yu, Lisan Jenkins, Richard De Halleux, Sebastien Peacock, David Cohen, Nora 2020-06-01 https://hdl.handle.net/1912/26706 unknown American Meteorological Society https://doi.org/10.1175/BAMS-D-19-0015.1 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. https://hdl.handle.net/1912/26706 doi:10.1175/BAMS-D-19-0015.1 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. doi:10.1175/BAMS-D-19-0015.1 Article 2020 ftwhoas https://doi.org/10.1175/BAMS-D-19-0015.1 2022-05-28T23:03:59Z 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. 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. 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 ... Article in Journal/Newspaper Arctic Arctic Ocean Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Arctic Arctic Ocean Gomez ENVELOPE(-58.795,-58.795,-62.196,-62.196) Vazquez ENVELOPE(-64.000,-64.000,-65.433,-65.433) Bulletin of the American Meteorological Society 101 6 E744 E762
institution Open Polar
collection Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server)
op_collection_id ftwhoas
language unknown
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. 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. 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 ...
format Article in Journal/Newspaper
author Gentemann, Chelle L.
Scott, Joel P.
Mazzini, Piero L. F.
Pianca, Cassia
Akella, Santha
Minnett, Peter J.
Cornillon, Peter
Fox-Kemper, Baylor
Cetinić, Ivona
Chin, T. Mike
Gomez-Valdes, Jose
Vazquez-Cuervo, Jorge
Tsontos, Vardis
Yu, Lisan
Jenkins, Richard
De Halleux, Sebastien
Peacock, David
Cohen, Nora
spellingShingle Gentemann, Chelle L.
Scott, Joel P.
Mazzini, Piero L. F.
Pianca, Cassia
Akella, Santha
Minnett, Peter J.
Cornillon, Peter
Fox-Kemper, Baylor
Cetinić, Ivona
Chin, T. Mike
Gomez-Valdes, Jose
Vazquez-Cuervo, Jorge
Tsontos, Vardis
Yu, Lisan
Jenkins, Richard
De Halleux, Sebastien
Peacock, David
Cohen, Nora
Saildrone: adaptively sampling the marine environment
author_facet Gentemann, Chelle L.
Scott, Joel P.
Mazzini, Piero L. F.
Pianca, Cassia
Akella, Santha
Minnett, Peter J.
Cornillon, Peter
Fox-Kemper, Baylor
Cetinić, Ivona
Chin, T. Mike
Gomez-Valdes, Jose
Vazquez-Cuervo, Jorge
Tsontos, Vardis
Yu, Lisan
Jenkins, Richard
De Halleux, Sebastien
Peacock, David
Cohen, Nora
author_sort Gentemann, Chelle L.
title Saildrone: adaptively sampling the marine environment
title_short Saildrone: adaptively sampling the marine environment
title_full Saildrone: adaptively sampling the marine environment
title_fullStr Saildrone: adaptively sampling the marine environment
title_full_unstemmed Saildrone: adaptively sampling the marine environment
title_sort saildrone: adaptively sampling the marine environment
publisher American Meteorological Society
publishDate 2020
url https://hdl.handle.net/1912/26706
long_lat ENVELOPE(-58.795,-58.795,-62.196,-62.196)
ENVELOPE(-64.000,-64.000,-65.433,-65.433)
geographic Arctic
Arctic Ocean
Gomez
Vazquez
geographic_facet Arctic
Arctic Ocean
Gomez
Vazquez
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_source 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.
doi:10.1175/BAMS-D-19-0015.1
op_relation https://doi.org/10.1175/BAMS-D-19-0015.1
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.
https://hdl.handle.net/1912/26706
doi:10.1175/BAMS-D-19-0015.1
op_doi https://doi.org/10.1175/BAMS-D-19-0015.1
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