Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans

The Cyclone Global Navigation Satellite System (CYGNSS) mission can measure sea surface wind over tropical oceans with unprecedented temporal resolution and spatial coverage, so as to estimate surface latent and sensible heat fluxes (LHF and SHF). In this paper, the satellite-derived LHF/SHF estimat...

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Detalles Bibliográficos
Autores: Li, Xiaohui, Yang, Jingsong, Yan, Yunwei, Li, Weiqiang
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/295359
Acceso en línea:http://hdl.handle.net/10261/295359
Access Level:acceso abierto
Palabra clave:Global navigation satellite systems reflectometry
Cyclone GNSS
Surface heat fluxes
Latent heat flux
Sensible heat flux
Tropical ocean
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spelling Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceansLi, XiaohuiYang, JingsongYan, YunweiLi, WeiqiangGlobal navigation satellite systems reflectometryCyclone GNSSSurface heat fluxesLatent heat fluxSensible heat fluxTropical oceanThe Cyclone Global Navigation Satellite System (CYGNSS) mission can measure sea surface wind over tropical oceans with unprecedented temporal resolution and spatial coverage, so as to estimate surface latent and sensible heat fluxes (LHF and SHF). In this paper, the satellite-derived LHF/SHF estimates from CYGNSS are quantitatively evaluated and analyzed by those from the Global Tropical Moored Buoy. Comparisons of the LHF and SHF estimates demonstrate the good performance and reliability of CYGNSS heat flux products during the period of 2017–2022, including CYGNSS Level 2 Ocean Surface Heat Flux Climate Data Record (CDR) Version 1.0 and Version 1.1. Different latent heat characteristics in the tropical oceans are evaluated separately based on each buoy array, suggesting better agreement in the Atlantic for LHF/SHF products. Based on the Coupled Ocean-Atmosphere Response Experiment 3.5 algorithm, the impact of wind speed on the LHF/SHF estimates is analyzed by using the the Science Data Record V3.1 and NOAA V1.2 science wind products. The results show that the performance of satellite-derived wind speed directly affects the accuracy of LHF products, with an improvement of 17% in root-mean-square error over that of LHF CDR V1.0. Especially, in the Indian Ocean, accuracy can be improved by 26.8%. This paper demonstrates that the heat flux estimates along the orbit of the CYGNSS are an important supplement to in situ observational data and will benefit the study of global climate change.This work was supported by the Scientific Research Fund of the Second Institute of Oceanography, MNR, grand no. JB2205, as well as the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (No. 311021004), by the European Space Agency and Ministry of Science and Technology Dragon 5 Cooperation Programme under Grant 58009.Peer reviewedFrontiers MediaSouthern Marine Science and Engineering Guangdong LaboratoryEuropean Space AgencyConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/295359reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésFrontiers in Marine Sciencehttps://doi.org/10.3389/fmars.2022.1001491Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2953592026-05-22T06:33:51Z
dc.title.none.fl_str_mv Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
title Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
spellingShingle Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
Li, Xiaohui
Global navigation satellite systems reflectometry
Cyclone GNSS
Surface heat fluxes
Latent heat flux
Sensible heat flux
Tropical ocean
title_short Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
title_full Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
title_fullStr Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
title_full_unstemmed Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
title_sort Exploring CYGNSS mission for surface heat flux estimates and analysis over tropical oceans
dc.creator.none.fl_str_mv Li, Xiaohui
Yang, Jingsong
Yan, Yunwei
Li, Weiqiang
author Li, Xiaohui
author_facet Li, Xiaohui
Yang, Jingsong
Yan, Yunwei
Li, Weiqiang
author_role author
author2 Yang, Jingsong
Yan, Yunwei
Li, Weiqiang
author2_role author
author
author
dc.contributor.none.fl_str_mv Southern Marine Science and Engineering Guangdong Laboratory
European Space Agency
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Global navigation satellite systems reflectometry
Cyclone GNSS
Surface heat fluxes
Latent heat flux
Sensible heat flux
Tropical ocean
topic Global navigation satellite systems reflectometry
Cyclone GNSS
Surface heat fluxes
Latent heat flux
Sensible heat flux
Tropical ocean
description The Cyclone Global Navigation Satellite System (CYGNSS) mission can measure sea surface wind over tropical oceans with unprecedented temporal resolution and spatial coverage, so as to estimate surface latent and sensible heat fluxes (LHF and SHF). In this paper, the satellite-derived LHF/SHF estimates from CYGNSS are quantitatively evaluated and analyzed by those from the Global Tropical Moored Buoy. Comparisons of the LHF and SHF estimates demonstrate the good performance and reliability of CYGNSS heat flux products during the period of 2017–2022, including CYGNSS Level 2 Ocean Surface Heat Flux Climate Data Record (CDR) Version 1.0 and Version 1.1. Different latent heat characteristics in the tropical oceans are evaluated separately based on each buoy array, suggesting better agreement in the Atlantic for LHF/SHF products. Based on the Coupled Ocean-Atmosphere Response Experiment 3.5 algorithm, the impact of wind speed on the LHF/SHF estimates is analyzed by using the the Science Data Record V3.1 and NOAA V1.2 science wind products. The results show that the performance of satellite-derived wind speed directly affects the accuracy of LHF products, with an improvement of 17% in root-mean-square error over that of LHF CDR V1.0. Especially, in the Indian Ocean, accuracy can be improved by 26.8%. This paper demonstrates that the heat flux estimates along the orbit of the CYGNSS are an important supplement to in situ observational data and will benefit the study of global climate change.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/295359
url http://hdl.handle.net/10261/295359
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Frontiers in Marine Science
https://doi.org/10.3389/fmars.2022.1001491
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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