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.
Highlights
Background & SummaryLand, hydrological and ecosystem models all require the input of gridded near-surface meteorological datasets, called “forcing data”
Efforts were made during the 2000s to develop global-scale datasets specially for land surface and hydrology research, e.g. Princeton University’s Global Land Surface Model Data[1,2] and the Global Land Data Assimilation System (GLDAS)[3]
Remote sensing datasets obtained from some earth-observing satellites, like the Tropical Rainfall Measuring Mission (TRMM) precipitation rate dataset[4], and remote sensing-derived data products such as Climate Prediction Center (CPC) Merged Analysis of Precipitation (CMAP)[5,6,7,8], provided more choices for data on particular variables to land surface and hydrology researchers
Summary
Background & SummaryLand, hydrological and ecosystem models all require the input of gridded near-surface meteorological datasets, called “forcing data”. The CMFD contains all seven near-surface meteorological elements required by land modelling, including 2-meter air temperature, surface pressure, and specific humidity, 10-meter wind speed, downward shortwave radiation, downward longwave radiation, and precipitation rate. (2) Subtract interpolated background data from step (1) by 3-hourly observations at each station, obtaining the discrepancies between these two kinds of datasets.
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