Articles | Volume 13, issue 6
https://doi.org/10.5194/essd-13-2945-2021
© Author(s) 2021. 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-13-2945-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
23 Jun 2021
Data description paper |
| 23 Jun 2021
| 23 Jun 2021
CLIGEN parameter regionalization for mainland China
Wenting Wang
Zhuhai Branch of State Key Laboratory of Earth Surface Processes
and Resource Ecology, Beijing Normal University at Zhuhai, Zhuhai 519087,
China
State Key Laboratory of Earth Surface Processes and Resource
Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Shuiqing Yin
CORRESPONDING AUTHOR
State Key Laboratory of Earth Surface Processes and Resource
Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
Bofu Yu
Australian Rivers Institute, School of Engineering and Built
Environment, Griffith University, Nathan, Queensland 4111, Australia
Shaodong Wang
State Key Laboratory of Earth Surface Processes and Resource
Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
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Short summary
A gridded input dataset at a 10 km resolution of a weather generator, CLIGEN, was established for mainland China. Based on this, CLIGEN can generate a series of daily temperature, solar radiation, precipitation data, and rainfall intensity information. In each grid, the input file contains 13 groups of parameters. All parameters were first calculated based on long-term observations and then interpolated by universal kriging. The accuracy of the gridded input dataset has been fully assessed.
A gridded input dataset at a 10 km resolution of a weather generator, CLIGEN, was established...
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