High spatial resolution (10km) surface solar radiation dataset with by merging sunshine hours over China China (1983-2017)

High spatial resolution (10km) surface solar radiation dataset with by merging sunshine hours over China China (1983-2017)


This data set is a national high-resolution solar radiation data set covering 34 years (1983.7-2017.6), with a resolution of 10 km. The data unit is W / m2. The data set is developed by merging the global high-resolution (3 hours, 10 km) surface solar radiation data set (1983-2017) with isccp-hxg cloud products as the main input, with ground based sunshine duration derived surface solar raidation data from 2261 meteorological stations in China by using the geographic weighted regression method. The validation results show that this dataset can provide more accurate simulation of long-term variability of surface solar radiation than that of gewex-srb, cmsaf-clara-a2 and the isccp-hxg based surface solar radiation product. This data can provide favorable data support for the application and research of long-term change of hydrology in land surface process simulation.


File naming and required software

This data is in NetCDF format and contains 6 variables. The recordid is the record number. RS is the surface solar radiation data. Latitude and longitude are latitude and longitude. Month and year are months and years. For more information about NetCDF, see http://www.unidata.ucar.edu/software/netcdf.


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Cite as:

Feng, F., Wang, K. (2020). High spatial resolution (10km) surface solar radiation dataset with by merging sunshine hours over China China (1983-2017). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.271023. CSTR: 18406.11.Meteoro.tpdc.271023. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Feng, F., Wang, K.C. (2021). Merging High-Resolution Satellite Surface Radiation Data with Meteorological Sunshine Duration Observations over China from 1983 to 2017. Remote Sensing, 13, 602.( View Details | Download | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


References literature

1.Yang, K., Koike, T., and Ye, B. (2006). Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets. Agric. For. Meteorol., 137, 43-55. (View Details )

2.Tang, W., Yang, K., Qin, J., Li, X., & Niu, X. (2019). A 16-year dataset (2000–2015) of high-resolution (3 h, 10 km) global surface solar radiation. Earth Syst. Sci. Data, 11, 1905–1915, https://doi.org/10.5194/essd-11-1905-2019. (View Details )


Support Program

Surface solar radiation impact factors analysis and data fusion in China (No:#BLX201907)

Interaction and regional performance of natural and human factors on land surface driven by global change (No:2017YFA06036001)

Construction and application of high spatial-temporal resolution surface solar radiation data in China over last four decade (No:U2020-KF-02)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


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


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Keywords
Geographic coverage
East: 136.65 West: 66.95
South: 15.25 North: 54.85
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 1km - 10km
  • File size: 431 MB
  • Views: 2,726
  • Downloads: 412
  • Access: Open Access
  • Temporal coverage: 1983-07-01 To 2017-06-30
  • Updated time: 2021-06-25
Contacts
: FENG Fei   WANG Kaicun  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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