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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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. |
format | Online Article Text |
id | pubmed-6129693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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