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Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements

We have developed a new algorithm to estimate the surface air specific humidity over the ocean from AMSR-E data. It should be noted that remarkably reduced random errors of the estimated surface air specific humidity result from using the surface air specific humidity provided by reanalysis data. We...

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Detalles Bibliográficos
Autores principales: Kubota, Masahisa, Tsutomu, Hihara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791004/
https://www.ncbi.nlm.nih.gov/pubmed/27873973
http://dx.doi.org/10.3390/s8128016
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author Kubota, Masahisa
Tsutomu, Hihara
author_facet Kubota, Masahisa
Tsutomu, Hihara
author_sort Kubota, Masahisa
collection PubMed
description We have developed a new algorithm to estimate the surface air specific humidity over the ocean from AMSR-E data. It should be noted that remarkably reduced random errors of the estimated surface air specific humidity result from using the surface air specific humidity provided by reanalysis data. We validated our new algorithm using independent ship and buoy data. The bias, RMS error, and correlation coefficient of the products obtained using our algorithm for global buoys are 0.38 g/kg, 0.61 g/kg and 0.99, respectively. It should be noted that surface specific humidity having similar accuracy to the reanalysis data near in situ data could be derived from AMSR-E data by the present algorithm.
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spelling pubmed-37910042013-10-18 Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements Kubota, Masahisa Tsutomu, Hihara Sensors (Basel) Article We have developed a new algorithm to estimate the surface air specific humidity over the ocean from AMSR-E data. It should be noted that remarkably reduced random errors of the estimated surface air specific humidity result from using the surface air specific humidity provided by reanalysis data. We validated our new algorithm using independent ship and buoy data. The bias, RMS error, and correlation coefficient of the products obtained using our algorithm for global buoys are 0.38 g/kg, 0.61 g/kg and 0.99, respectively. It should be noted that surface specific humidity having similar accuracy to the reanalysis data near in situ data could be derived from AMSR-E data by the present algorithm. Molecular Diversity Preservation International (MDPI) 2008-12-08 /pmc/articles/PMC3791004/ /pubmed/27873973 http://dx.doi.org/10.3390/s8128016 Text en © 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the CreativeCommons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Kubota, Masahisa
Tsutomu, Hihara
Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements
title Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements
title_full Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements
title_fullStr Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements
title_full_unstemmed Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements
title_short Retrieval of Surface Air Specific Humidity Over the Ocean Using AMSR-E Measurements
title_sort retrieval of surface air specific humidity over the ocean using amsr-e measurements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791004/
https://www.ncbi.nlm.nih.gov/pubmed/27873973
http://dx.doi.org/10.3390/s8128016
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