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A long-term 0.01° surface air temperature dataset of Tibetan Plateau

The surface air temperature (T(a)) dataset of the Tibetan Plateau is obtained by downscaling the China regional surface meteorological feature dataset (CRSMFD). It contains the daily mean T(a) and 3-hourly instantaneous T(a). This dataset has a spatial resolution of 0.01°. Its time range for surface...

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Detalles Bibliográficos
Autores principales: Ding, Lirong, Zhou, Ji, Zhang, Xiaodong, Liu, Shaomin, Cao, Ruyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129693/
https://www.ncbi.nlm.nih.gov/pubmed/30211269
http://dx.doi.org/10.1016/j.dib.2018.08.107
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author Ding, Lirong
Zhou, Ji
Zhang, Xiaodong
Liu, Shaomin
Cao, Ruyin
author_facet Ding, Lirong
Zhou, Ji
Zhang, Xiaodong
Liu, Shaomin
Cao, Ruyin
author_sort Ding, Lirong
collection PubMed
description The surface air temperature (T(a)) dataset of the Tibetan Plateau is obtained by downscaling the China regional surface meteorological feature dataset (CRSMFD). It contains the daily mean T(a) and 3-hourly instantaneous T(a). This dataset has a spatial resolution of 0.01°. Its time range for surface air temperature dataset is from 2000 to 2015. Spatial dimension of data: 73°E–106°E, 40°N–23°N. The T(a) with a 0.01° can serve as an important input for the modeling of land surface processes, such as surface evapotranspiration estimation, agricultural monitoring, and climate change analysis.
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spelling pubmed-61296932018-09-12 A long-term 0.01° surface air temperature dataset of Tibetan Plateau Ding, Lirong Zhou, Ji Zhang, Xiaodong Liu, Shaomin Cao, Ruyin Data Brief Crystallography The surface air temperature (T(a)) dataset of the Tibetan Plateau is obtained by downscaling the China regional surface meteorological feature dataset (CRSMFD). It contains the daily mean T(a) and 3-hourly instantaneous T(a). This dataset has a spatial resolution of 0.01°. Its time range for surface air temperature dataset is from 2000 to 2015. Spatial dimension of data: 73°E–106°E, 40°N–23°N. The T(a) with a 0.01° can serve as an important input for the modeling of land surface processes, such as surface evapotranspiration estimation, agricultural monitoring, and climate change analysis. Elsevier 2018-08-29 /pmc/articles/PMC6129693/ /pubmed/30211269 http://dx.doi.org/10.1016/j.dib.2018.08.107 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Crystallography
Ding, Lirong
Zhou, Ji
Zhang, Xiaodong
Liu, Shaomin
Cao, Ruyin
A long-term 0.01° surface air temperature dataset of Tibetan Plateau
title A long-term 0.01° surface air temperature dataset of Tibetan Plateau
title_full A long-term 0.01° surface air temperature dataset of Tibetan Plateau
title_fullStr A long-term 0.01° surface air temperature dataset of Tibetan Plateau
title_full_unstemmed A long-term 0.01° surface air temperature dataset of Tibetan Plateau
title_short A long-term 0.01° surface air temperature dataset of Tibetan Plateau
title_sort long-term 0.01° surface air temperature dataset of tibetan plateau
topic Crystallography
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129693/
https://www.ncbi.nlm.nih.gov/pubmed/30211269
http://dx.doi.org/10.1016/j.dib.2018.08.107
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