Central Asia and global land drought scenario data (2020-2099)- A Big Earth Data Platform for Three Poles

This data is the aridity index (AI) under the rcp4.5 scenario. AI data is the ratio of precipitation to potential evapotranspiration. This data is calculated by the average of 14 models. These 14 modes are canesm2; ccsm4; cnrm-cm5; csiro-mk3-6-0; giss-e2-r; hadgem2-cc; hadgem2-es; inmcm4; ipsl-cm5a-lr; miroc5; miroc-esm-chem; miroc-esm; mpi-esm-lr; mri-cgcm3. The spatial resolution is 2 * 2 degrees, and the temporal resolution is from January 2020 to December 2099. This data set can be used to analyze the future dry and wet change scenarios in the Great Lakes region of Central Asia, as well as the dry and wet past and pattern in other regions of the world under the future scenarios.

File naming and required software

The data is in the format of. Mat under Matlab, including AI data (ai2deg ﹣ future), lat2deg & lon2deg and timeidx ﹣ future.

Data Citations Data citation guideline What's data citation?

Cite as:

Hua, L. (2019). Central Asia and global land drought scenario data (2020-2099). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Related Literatures:

1. Zhao, T.B., Dai, A.G. (2015). The magnitude and causes of global drought changes in the twenty-first century under a low-moderate emissions scenario. Journal of Climate, 28, 4490-4512.( 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

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

Copyright & License

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