Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1931-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1931-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
1 km monthly temperature and precipitation dataset for China from 1901 to 2017
Shouzhang Peng
State Key Laboratory of Soil Erosion and Dryland Farming on the
Loess Plateau, Northwest A&F University, Yangling, 712100, China
Institute of Soil and Water Conservation, Chinese Academy of
Sciences and Ministry of Water Resources, Yangling, 712100, China
Yongxia Ding
School of Geography and Tourism, Shaanxi Normal University, Xi'an,
710169, China
Wenzhao Liu
CORRESPONDING AUTHOR
State Key Laboratory of Soil Erosion and Dryland Farming on the
Loess Plateau, Northwest A&F University, Yangling, 712100, China
Institute of Soil and Water Conservation, Chinese Academy of
Sciences and Ministry of Water Resources, Yangling, 712100, China
Zhi Li
CORRESPONDING AUTHOR
College of Natural Resources and Environment, Northwest A&F
University, Yangling, 712100, China
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Latest update: 13 Dec 2024
Short summary
This study describes a 1 km monthly minimum, maximum, and mean temperatures and precipitation dataset for the mainland area of China during 1901–2017. It is the first dataset developed with such a high spatiotemporal resolution over such a long time period for China. The dataset is well evaluated by the observations using 496 national weather stations, and the evaluation indicated the dataset is sufficiently reliable for use in investigation of climate change across China.
This study describes a 1 km monthly minimum, maximum, and mean temperatures and precipitation...
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