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Original research — experimental, observational, or case-control study. Direct primary evidence.
Marine & Wildlife
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Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling
Frontiers in Marine Science2019
122 citations
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Score: 40
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Mark A. Bourassa,
Thomas Meißner,
Michael R. Stukel,
Brian K. Haus,
Ivana Cerovečki,
Paul Chang,
Craig Donlon,
Xiaolong Dong,
Marcos Portabella,
Giovanna De Chiara,
Brian K. Haus,
Craig Donlon,
Dmitry Dukhovskoy,
Jocelyn Elya,
Alexander G. Fore,
Melanie R. Fewings,
Ralph C. Foster,
Sarah T. Gille,
Brian K. Haus,
Svetla Hristova‐Veleva,
Heather M. Holbach,
Zorana Jelenak,
John A. Knaff,
Sven A. Kranz,
Andrew Manaster,
Andrew Manaster,
Matthew R. Mazloff,
C. A. Mears,
Alexis Mouche,
Marcos Portabella,
Nicolás Reul,
Lucrezia Ricciardulli,
Ernesto Rodríguez,
Ernesto Rodríguez,
Charles R. Sampson,
Daniel Solís,
Ad Stoffelen,
Michael R. Stukel,
B. Stiles,
B. Stiles,
David E. Weissman,
David E. Weissman,
Frank Wentz,
Frank Wentz
Summary
This review examines the strengths and weaknesses of remotely sensed ocean winds and wind stresses for marine forecasting and ocean modeling, discussing current observational capabilities and future mission requirements to meet a wide range of oceanographic applications.
Study Type
Environmental
Strengths and weakness of remotely sensed winds are discussed, along with the current capabilities for remotely sensing winds and stress. Future missions are briefly mentioned. The observational needs for a wide range of wind and stress applications are provided. These needs strongly support a short list of desired capabilities of future missions and constellations.