The GCMs dataset used in this dataset is CMIP3 comparison plan data (A1B (Medium Carbon Emissions, Global Common Development Scenarios that Focus on Economic Growth), A2 (High Carbon Emissions, Focus on Regional development scenarios for economic growth) and B1 (low carbon emissions, global common development scenarios that emphasize environmentally sustainable development) from the 24 GCM outputs in IPCC AR4 provided by PCMDI. This dataset uses the Delta method for downscaling, uses the 20C3M dataset from 1961 to 1990 as a reference, and uses the SRES dataset from 2010 to 2099 as the future scenario.

File naming and required software

According to the three scenarios of A1B A1B, A2 and B1 in cmip3cmip3, the data file stores the downscaling results in three directories, each of which stores the temperature and precipitation data. The folder is named according to (estimated plot name + variable + final. NC)
It can be read by remote sensing software such as program and ArcGIS

Data Citations Data citation guideline What's data citation?

Cite as:

Bai, L., Meng, X., Li, L., Chen, X., Li, X. (2016). The CMIP3's projection of temperature and precipitation in Xinjiang (2010-2099). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270568. CSTR: 18406.11.Meteoro.tpdc.270568. (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

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