1 km multi-scenario and multi-model monthly temperature data for China in 2021-2100
The file name is GCM_ SSP_ Tmp-30s-serial number NC, 30s, i.e. 0.0083333 °, the serial number ranges from 1-40, and the serial number 1 represents 2021.1-2022.12, representing the year in turn. Each NC data includes 24 layers; Based on ec-earth3_ ssp119_ tmp-30s-1. NC file, for example, represents the monthly average temperature data of ec-earth3 climate model with 1km resolution from 2021.1 to 2022.12 under ssp119 scenario. The 24 layers are January 2021, February 2021, December 2022.
Peng, S. (2022). 1 km multi-scenario and multi-model monthly temperature data for China in 2021-2100. A Big Earth Data Platform for Three Poles, DOI: 10.11866/db.loess.2021.003. (Download the reference： RIS | Bibtex )Related Literatures:
1. Peng, S.Z., Ding, Y.X., Liu, W.Z., & Li, Z. (2019). 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 11, 1931–1946. https://doi.org/10.5194/essd-11-1931-2019( View Details | Bibtex)
2. Peng, S.Z., Ding, Y.X., Wen, Z.M., Chen, Y.M., Cao, Y., & Ren, J.Y. (2017). Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011-2100. Agricultural and Forest Meteorology, 233, 183-194. https://doi.org/10.1016/j.agrformet.2016.11.129( View Details | Bibtex)
4. Ding, Y.X., Peng, S.Z. (2021). Spatiotemporal change and attribution of potential evapotranspiration over China from 1901 to 2100. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-021-03625-w( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
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