High-resolution climate projection dataset in Central Asia (1986-2005 and 2031-2050)
The names of the files follow the order: [dataset name]_[experiment name]_[element name]_[year].[time frequency].nc. For example, the file name, HCPD-CA_WRF_CCSM_COR_T2MAX_2004.mon.nc, represents the monthly mean T2MAX of 2004 from the experiment WRF_CCSM_COR in the HCPD-CA dataset.
The Climate Data Operators (CDO, https://code.mpimet.mpg.de/projects/cdo), Python modules (like netCDF4, Xarray, and Numpy), and NCAR Command Languages (NCL, https://www.ncl.ucar.edu/) are recommended to do operations on the netCDF files.
Qiu, Y. (2021). High-resolution climate projection dataset in Central Asia (1986-2005 and 2031-2050). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.271759. CSTR: 18406.11.Meteoro.tpdc.271759. (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.
1.Qiu, Y., Feng, J., & Yan, Z. et al. (2021). High-resolution dynamical downscaling for regional climate projection in Central Asia based on bias-corrected multiple GCMs. Clim Dyn. https://doi.org/10.1007/s00382-021-05934-2 (View Details )
Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)
The General Project of the National Natural Science Foundation of China (No:41875134)
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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).
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