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- 1Daily Timed Data from automated weather stations in China
- 2Data of specific synoptic hours from upper air stations in China
- 3China's First-Generation Global Land Reanalysis Product (CRA-40/Land) -3-Hourly Product (Land Product)
- 4China's First-Generation Global Land Reanalysis Product (CRA-40/Land)- Daily Products (Land Products)
- 5China's First-Generation Global Land Reanalysis Product (CRA-40/Land)- Monthly Products (Land Products)
- 6Data of specific synoptic hours from global surface weather stations
- 7China's First-Generation Global Land Reanalysis Products (CRA-40/Land)- Monthly Products (Atmospheric Driven Fusion Products)
- 8China's First-Generation Global Atmospheric Reanalysis Products (CRA-40)- Daily Products
◎ The near-real-time product dataset of the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0)
The "CLDAS-V2.0" product is a grid fusion analysis product covering the Asian region (0-65°N, 60-160°E) with the resolution of 0.0625°×0.0625° and 1 hour, including six atmospheric driving field products (2m air temperature, 2m specific humidity, 10m wind speed, ground pressure, precipitation and shortwave radiation), ground temperature analysis product, soil moisture products (vertically divided into 5 layers: 0-5, 0-10, 10-40, 40 -100, 100-200 cm), soil temperature analysis products (vertically divided into 5 layers: 5, 10, 40, 100, 200 cm) and soil relative humidity analysis products (vertically divided into 3 layers: 0-10cm, 0-20cm, 0-50 cm). The dataset is developed by using multiple grid variational assimilation called Space and Time Mesoscale Analysis System (STMAS), along with physical inversion, terrain correction based on the ground, satellite observations from various sources, and CLM3.5, CoLM, Noah-MP land surface model. The quality in China is superior to similar international products, and the spatio-temporal resolution is higher. The near real-time products update and release after 2 days.
- Name
- The near-real-time product dataset of the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0)
- Keywords
- 2m air temperature, 2m specific humidity, 10m wind speed, surface pressure, precipitation, short-wave radiation, surface temperature, soil moisture, soil temperature analysis, soil relative humidity, CLDAS system
- Area Scope
- Asian region (0-65°N, 60-160°E)
- Making time
- real Time
- Begin Time
- January 19, 2017
- End Time
- Current Time
- Frequency
- hourly ,daily
- Share Level
- Education and research real-name reg. user access
- Quality
- The CLDAS-V2.0 2m temperature, 2m specific humidity, 10m wind speed, ground pressure, and hourly precipitation data products were evaluated by 2,400 in-situ national automatic stations of China Meteorological Administration (CMA). Among them, the RMSE of2m air temperature is 0.88K, the bias is -0.13K, and the correlation coefficient is 0.97; the RMSE of ground pressure is 3.74hPa, the bias is -0.38hPa, and the correlation coefficient is 0.96; the 2m specific humidity is converted to relative humidity, and the RMSE is 4.76% , the bias is 1.10%, and the correlation coefficient is 0.93; the RMSE of 10m wind speed is 0.83m/s, the bias is -0.21 the correlation coefficient is 0.82; the RMSE of hourly precipitation is 0.94mm/h, the bias is -0.004mm/h, the correlation coefficient is 0.72. Compared with similar international and domestic products, this product is of higher quality in China, and its spatio-temporal distribution characteristics are more reasonable and accurate.
The CLDAS-V2.0 shortwave radiation data product in China have been evaluated by 90 CMA in-situ solar radiation stations. The RMSE is 31.9 W/M2, the bias is -3.0 W/M2, and the correlation coefficient is 0.90. The quality of shortwave radiation products is comparable to that of similar international products, with higher temporal and spatial resolution, which can meet the needs of land-surface models.
The CLDAS-V2.0 ground temperature data product was evaluated by the in-situ ground temperature of CMA after the quality control. The results show that the ground temperature product is in good agreement with the in-situ observation and the correlation coefficient is 0.98, the RMSE is 1.8K, and the bias is 1.4K.
The CLDAS-V2.0 soil volume water content data product was evaluated by the in-situ observation of soil moisture from the national automatic stations of CMA after the quality control, and the results show that the soil volume water content data product was in good agreement with the in-situ observation and the correlation coefficient is 0.89, the RMSE is 0.02 m3/m3, and the bias is 0.01 m3/m3.
The CLDAS-V2.0 soil temperature data product was evaluated by the in-situ observation of soil temperature from the national automatic stations of CMA after the quality control. The results showed that the CLDAS soil temperature product was in good agreement with the in-situ observation and the correlation coefficient is 0.99, the RMSE is 1.22K, and the bias is 0.52K.
The CLDAS-V2.0 soil relative humidity data product was evaluated by the in-situ observation of soil relative humidity from the national automatic stations of CMA after the quality control. The results show that the soil relative humidity data product was in good agreement with the in-situ observation and the correlation coefficient is about 0.8, the RMSE is less than 10.0%, and the bias is 10%. (See the documentation for details)
- DataSource
- Ground observation data: hourly air temperature, air pressure, humidity, wind speed, precipitation and other data observed by more than 2,400 national automatic stations after quality control and nearly 70,000 regional automatic weather stations under business operation.
ECMWF numerical analysis/forecast products: global 3h, 0.125° resolution of 2m temperature, 2m humidity, 10mU/V wind speed, ground pressure and other data products released by EC.
GFS numerical analysis/forecast products: global 3h, 0.5° resolution of ozone, atmospheric precipitation, ground pressure and other data products released by NCEP.
Satellite precipitation products: the East Asian Multi-satellite Integrated Precipitation Data Product (EMSIP) with 1h, 0.0625° resolution in the Asian region developed by the National Meteorological Information Center, and the NOAA Climate Prediction Center (CPC) morphing technique (CMORPH) multi-satellite precipitation dataset.
Full disk of FY2 satellite: multi-channel observation data (nominal disk map) of 1h and 5km resolution (sub-satellite point) of geostationary satellite operated by the National Satellite Meteorological Center.
DEM data: 30m spatial resolution topographic data in the global region was produced by the joint survey and production of NASA and the National Bureau of Surveying and Mapping (NIMA) of the Department of Defense. DEM topographic parameter data with a spatial resolution of 0.0625° in Asia was produced by the area weighted resampling method.
