Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China

Yang, Fan; Lu, Hui; Yang, Kun; He, Jie; Wang, Wei; Wright, Jonathon S.; Li, Chengwei; Han, Menglei; Li, Yishan

doi:https://doi.org/10.5194/hess-21-5805-2017

Articles | Volume 21, issue 11

https://doi.org/10.5194/hess-21-5805-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-5805-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 11

Research article

|

23 Nov 2017

Research article |

| 23 Nov 2017

Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China

Fan Yang, Hui Lu, Kun Yang, Jie He, Wei Wang, Jonathon S. Wright, Chengwei Li, Menglei Han, and Yishan Li

Data sets

China Meteorological Forcing Dataset. Cold and Arid Regions Science Data Center, Lanzhou J. He and K. Yang https://doi.org/10.3972/westdc.002.2014.db

Short summary

In this paper, we show that CLDAS has the highest spatial and temporal resolution, and it performs best in terms of precipitation, while it overestimates the shortwave radiation. CMFD also has high resolution and its shortwave radiation data match well with the station data; its annual-mean precipitation is reliable but its monthly precipitation needs improvements. Both GLDAS and CN05.1 over mainland China need to be improved. The results can benefit researchers for forcing data selection.