The first high-resolution meteorological forcing dataset for land process studies over China
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Open Access
- 21 January 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Scientific Data
- Vol. 7 (1), 1-11
- https://doi.org/10.1038/s41597-020-0369-y
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.Keywords
Funding Information
- Chinese Academy of Sciences (XDA2006010201, XXH13505-06)
This publication has 24 references indexed in Scilit:
- Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental DesignBulletin of the American Meteorological Society, 2013
- MERRA: NASA’s Modern-Era Retrospective Analysis for Research and ApplicationsJournal of Climate, 2011
- Evaluation of European Land Data Assimilation System (ELDAS) products using in situ observationsTellus A: Dynamic Meteorology and Oceanography, 2008
- Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface ModelingJournal of Climate, 2006
- Improving estimation of hourly, daily, and monthly solar radiation by importing global data setsAgricultural and Forest Meteorology, 2006
- The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling systemJournal of Geophysical Research: Atmospheres, 2004
- Surface radiation budgets in support of the GEWEX Continental‐Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) projectJournal of Geophysical Research: Atmospheres, 2003
- A hybrid model for estimating global solar radiationSolar Energy, 2001
- Analyses of Global Monthly Precipitation Using Gauge Observations, Satellite Estimates, and Numerical Model PredictionsJournal of Climate, 1996
- On a derivable formula for long‐wave radiation from clear skiesWater Resources Research, 1975