Abstract

The China Meteorological Forcing Dataset (CMFD) is the first high spatial-temporal resolution gridded near-surface meteorological dataset developed specifically for studies of land surface processes in China. The dataset was made through fusion of remote sensing products, reanalysis datasets and in-situ station data. Its record begins in January 1979 and is ongoing (currently up to December 2018) with a temporal resolution of three hours and a spatial resolution of 0.1°. Seven near-surface meteorological elements are provided in the CMFD, including 2-meter air temperature, surface pressure, and specific humidity, 10-meter wind speed, downward shortwave radiation, downward longwave radiation and precipitation rate. Validations against observations measured at independent stations show that the CMFD is of superior quality than the GLDAS (Global Land Data Assimilation System); this is because a larger number of stations are used to generate the CMFD than are utilised in the GLDAS. Due to its continuous temporal coverage and consistent quality, the CMFD is one of the most widely-used climate datasets for China.

Measurement(s)

temperature • pressure • humidity • atmospheric wind speed • radiation • precipitation process

Technology Type(s)

digital curation

Factor Type(s)

geographic location • time

Sample Characteristic - Environment

climate system

Sample Characteristic - Location

China

Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.11558439

Details

Title
The first high-resolution meteorological forcing dataset for land process studies over China
Author
He, Jie 1 ; Yang, Kun 2 ; Tang, Wenjun 3 ; Lu, Hui 1   VIAFID ORCID Logo  ; Qin, Jun 4 ; Chen, Yingying 3 ; Li, Xin 3 

 Tsinghua University, Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) 
 Tsinghua University, Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); Chinese Academy of Sciences, Center for Excellence in Tibetan Plateau Earth Sciences, Institute of Tibetan Plateau Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 Chinese Academy of Sciences, Center for Excellence in Tibetan Plateau Earth Sciences, Institute of Tibetan Plateau Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); Chinese Academy of Sciences, Center of Earth Observation and Big Data Analysis for Three Poles, Institute of Tibetan Plateau Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 Chinese Academy of Sciences, Center of Earth Observation and Big Data Analysis for Three Poles, Institute of Tibetan Plateau Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2489908055
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.