Daily average solar radiation dataset of 716 weather stations in China (1961-2010)

This data set contains a total of 717 files, among which the station.txt file mainly describes the site information of 716 stations. Each column corresponds to: longitude, latitude and elevation. The other 716 files named by the station number correspond to the data of 716 stations. The columns in the file are: year, month, day and daily average solar radiation.

The data are based on the estimation of conventional meteorological observation elements by the China Meteorological Administration: temperature, humidity, pressure and sunshine hours. The estimation method is obtained by two models: an artificial neural network model and the Yang hybrid model. The Yang hybrid model takes into account the five decay processes of aerosol scattering and absorption, Rayleigh scattering, water vapor absorption, ozone absorption and uniformly mixed gas absorption in clear weather. The influence of clouds on radiation is parameterized by the sunshine hours in cloudy days. The artificial neural network model, however, uses the ANN model to establish the relationship between radiation and ground conventional meteorological variables at each radiating station. Because the accuracy of the model of the artificial neural network is higher than that of the Yang hybrid model, the estimated value of the model of the artificial neural network is used to dynamically correct the estimated value of the Yang hybrid model on a monthly scale, and the data set is finally obtained.

Required Data Citation View Data Cite Help About Data Citation

1. Tang, W.J., Yang, K., Qin, J., &Min, M. (2013). Development of a 50-year daily surface solar radiation dataset over China. Science China-earth Sciences, 56(9), 1555-1565.( View Details | Bibtex)

2. Tang, W.J., Yang, K., Qin, J., Cheng, C.C.K., &He, J., (2010). Solar radiation trend across China in recent decades: a revisit with quality-controlled data. Atmospheric Chemistry and Physics, 11(1), 393-406.( View Details | Bibtex)

3. Yang, K., Koike, T., &Ye, B.S. (2006). Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets. Agricultural and Forest Meteorology, 137(137), 43-55.( View Details | Bibtex)

Cite the data

TANG Wenjun. Daily average solar radiation dataset of 716 weather stations in China (1961-2010). National Tibetan Plateau Data Center, 2018. doi: 10.11888/AtmosphericPhysics.tpe.249399.file. (Download the reference: RIS | Bibtex )

Using this data, you must reference one or more article references listed in the Required Data Citation and reference data

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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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Geographic coverage
Spatial coverage

East: 135.00

South: 4.25

West: 73.00

North: 53.50

  • File size: 50 MB
  • Browse count: 1,482 Times
  • Apply count: 96 Times
  • Share mode: online
  • Temporal coverage: 1961-01-01 To 2010-12-30
  • Updated time: 2019-08-07
Contact Information
: TANG Wenjun  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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