High-resolution surface solar radiation dataset over China (2007-2014)

The dataset contains a total of eight-year (2007-2014) data. The temporal resolution of the data is hourly, and the spatial resolution of the data is 5km. The file is named as “RAD_yyyymmddhh.dat”, where “yyyy”, “mm”, “dd”, and “hh” denote year, month, day and hour (GMT time). All data are saved as binary files without header file (4 Real Floating Point). Longitude grid (X axis): 70.025:0.05:140.025, Latitude grid (Y axis): 59.975:-0.05:14.975.

China,High-resolution,surface solar radiation
:Wenjun Tang :Building 3, Courtyard 16, Lin Cui Road, Chaoyang District, Beijing 100101 P.R. China
:tangwj@itpcas.ac.cn

Data content: The dataset contains a total of eight-year (2007-2014) data. 

Data Range: 2007-2014

Temporal resolution: hourly

Spatial resolution: 5km

Spatial projection: Longitude grid (X axis): 70.025:0.05:140.025, Latitude grid (Y axis): 59.975:-0.05:14.975

Data format: binary files without header file (4 Real Floating Point)

The file is named as “RAD_yyyymmddhh.dat”, where “yyyy”, “mm”, “dd”, and “hh” denote year, month, day and hour (GMT time).

Variable name:instantaneous surface solar radiation

Data type:floating-point type

Unit:W·m-2

   

 

By combining polar orbit satellite MODIS and Japan geostationary meteorological satellite MTSAT, the key parameter for estimating surface solar radiation ----- cloud information is derived firstly. Once the estimated cloud parameters and other information (such as aerosol, precipitable water, ozone) are input to an efficient parameterization model, we can derive high-resolution surface solar radiation over China.

(1)Qin, Jun,Tang, Wenjun,Yang, Kun,Lu, Ning,Niu, Xiaolei,Liang, Shunlin,An efficient physically based parameterization to derive surface solar irradiance based on satellite atmospheric products,Journal of Geophysical Research-Atmospheres,2015,120(10):4975-4988.

(2)Tang, Wenjun,Qin, Jun,Yang, Kun,Liu, Shaomin,Lu, Ning,Niu, Xiaolei,Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data,Atmospheric Chemistry and Physics,2016,16:2543-2557.

The dataset is estimated data. The root mean square error (RMSE) for instantaneous surface solar radiation is generally less than 100 W·m-2, and the RMSE for daily surface solar radiation is generally less than 35 W·m-2.

 

Although we have made tremendous efforts to maintain the network, to calibrate soil moisture sensors, and to carefully process the data, unexpected instrument behaves may occur. The data provider disclaims any kind of liability for quality, performance, and fitness for a particular purpose arising out of the use.

The dataset is applied to develop forcing data for land process research.

The data can only be utilized for academic research. Use of the data for other purposes (e.g. commercial use) is prohibited. No user is allowed to transfer the data to any third party. 
Users are suggested to refer to the following publications:
 
Tang, Wenjun,Qin, Jun,Yang, Kun,Liu, Shaomin,Lu, Ning,Niu, Xiaolei,Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data,Atmospheric Chemistry and Physics,2016,16:2543-2557. 
DOI: 10.11888/AtmosphericPhysics.tpe.249449.file
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High-resolution surface solar radiation dataset over China (2007-2014)