Effective evaluation of future climate change, especially prediction of future precipitation, is an important basis for formulating adaptation strategies. This data is based on the RegCM4.6 model, which is compatible with multi-model and different carbon emission scenarios: CanEMS2 (RCP 45 and RCP85), GFDL-ESM2M (RCP2.6, RCP4.5, RCP6.0 and RCP8.5), HadGEM2-ES (RCP2.6, RCP4.5 And RCP8.5), IPSL-CM5A-LR (RCP2.6, RCP4.5, RCP6.0 and RCP8.5), MIROC5 (RCP2.6, RCP4.5, RCP6.0 and RCP8.5). The future climate data (2007-2099) has 21 sets, with a spatial resolution at 0.25 degrees and the temporal resolution at 3 hours (or 6 hours), daily and yearly scales.

File naming and required software

Future forecasts for four different scenarios contained in the dataset are stored in the following four folders: rcp26, rcp45, rcp60 and rcp85. Each folder contains three sub folders with different time resolutions: 3_ The specific file names in each folder are as follows:
3_ The file names in the hour folder are as follows: Chinese.yyyymm0100 .025x025. clip.nc Where yyyy is the year, mm is the month, and others are fixed characters.
Name the files in the daily folder as follows: Chinese.yyyymm0100 .Daily.025x025. clip.nc Where yyyy is the year, mm is the month, and others are fixed characters.
The file name in the year folder is as follows: Chinese.yyyy.Annual .025x025. clip.nc Where yyyy is the year and the others are fixed characters.

Data Citations Data citation guideline What's data citation?

Cite as:

Pan, X., Zhang, L. (2020). Future climate projection of China based on regcm4.6 (2007-2099). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270998. CSTR: 18406.11.Meteoro.tpdc.270998. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Pan, X.D., Zhang, L., Huang, C.L. (2020). Future Climate Projection in Northwest China with RegCM4.6, Earth and Space Science, doi: 10.1029/2019EA000819.( View Details | Bibtex)

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

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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)