Temperature and precipitation dataset in Xinjiang (1961-1990)- A Big Earth Data Platform for Three Poles

The time coverage of this data is (1961-1990). The station data set includes 222 stations of precipitation data and 202 stations of temperature data. In order to fill the meteorological data in the surrounding area of Xinjiang in the study area, this data set uses the Central Asia Temperature and Precipitation Data (1879-2003), and some site data of Pakistan, Afghanistan, Mongolia (Global Historical Climate Network) and CRU dataset, in addition to the Xinjiang Meteorological Data Set, Qinghai, and Gansu Daily Data. There is a large amount of missing data in the used dataset, which will affect the accuracy of the grid data generated by the extrapolation method. Therefore, this article deletes sites with consecutive missing years, and uses sites adjacent to the site to replace missing sites with fewer years (less than 3 years). For sites where the spatial distribution of sites is too sparse, BP neural network is used to fit and reconstruct sites with severely missing data, such as Tazhong (51747), Andi Township (51848), and Hangya (51915). Based on the pre-processed data, the interpolation method of this data set is the Cressman objective analysis method. The monthly average temperature and monthly precipitation are extrapolated to the study area, and the grid period observation data with a horizontal resolution of 0.5 ° is obtained.

This data contains two files: temperature data of xinjiangtemp.nc and precipitation data of xinjiangpre2.nc.

File naming and required software

The data is stored according to the standard of netcdf3. , it can be read by remote sensing software such as program or ArcGIS

Data Citations Data citation guideline What's data citation?

Cite as:

Bai, L., Li, L., Chen, X., Meng, X., Li, X. (2016). Temperature and precipitation dataset in Xinjiang (1961-1990). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270567. CSTR: 18406.11.Meteoro.tpdc.270567. (Download the reference： RIS | Bibtex )

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

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services 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.

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