A 16-year dataset of high-resolution (3 hour, 10 km) global surface solar radiation (2000-2015)

The dataset is a 16-year (2000-2015) high-resolution (3 h, 10 km) global SSR (surface solar radiation) dataset, which can be used for hydrological modeling, land surface modeling and engineering application. The dataset was produced based on ISCCP-HXG cloud products, ERA5 reanalysis data, and MODIS aerosol and albedo products with an improved physical parameterization scheme. Validation and comparisons with other global satellite radiation products indicate that our SSR estimates were generally better than those of the ISCCP flux dataset (ISCCP-FD), the global energy and water cycle experiment surface radiation budget (GEWEX-SRB), and the Earth's Radiant Energy System (CERES). This SSR dataset will contribute to the land-surface process simulations and the photovoltaic applications in the future.

Data file naming and use method

Each data file is named as ISCCP_HXG_global_radiation_YYYY_MM_DD_HH.nc (e.g. ISCCP_HXG_global_radiation_2000_01_01_00.nc), where YYYY is the four-digital year, MM is the two-digital month, DD is the two-digital day, HH is the two-digital hour, that means one file contains data for only one hour, additionally, .nc is the file name suffix which indicates that the data were stored as NetCDF format; For more information about NetCDF, please see http://www.unidata.ucar.edu/software/netcdf.

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Cite the data

TANG Wenjun. A 16-year dataset of high-resolution (3 hour, 10 km) global surface solar radiation (2000-2015). Big Data System for Pan-Third Pole, 2019. doi: 10.11888/Meteoro.tpdc.270112. (Download the reference: RIS | Bibtex )

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Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program

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License: This work is licensed under a Attribution 4.0 International (CC BY 4.0)

Related Resources

1. 2019-07-20 None None Usage:模型模拟


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Geographic Coverage
Spatial Coverage





  • Time Resolution: Hourly
  • Spatial Resolution: 10km
  • File size: 600000.0 MB
  • View count:283 Times
  • Share type: online
  • Time Range: 2000-01-01 To 2015-12-31
  • Updated Time:2019-08-08
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Contact Information

Data Resource Provider: TANG Wenjun  

Distributor: Observational & Big Data Center for Three Poles

Contact: data@itpcas.ac.cn

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