Abstract
The “Future_Global_AI_PET Database” provides high-resolution (30 arc-seconds) average annual and monthly global estimates of potential evapotranspiration (PET) and aridity index (AI) for 22 CMIP6 Earth System Models for two future (2021–2041; 2041–2060) and two historical (1960–1990; 1970–2000) time periods, for each of four shared socio-economic pathways (SSP). Three multimodel ensemble averages are also provided (All; Majority Consensus, High Risk) with different level of risks linked to climate model uncertainty. An overview of the methodological approach, geospatial implementation and a technical evaluation of the results is provided. Historical results were compared for technical validation with weather station data ( PET: r 2 = 0 .72; AI: r 2 = 0.91) and the CRU_TS v 4.04 dataset ( PET: r 2 = 0 .67; AI: r 2 = 0 .80). Within the context of projected significant change in the near- and medium-term, the “Future_Global_AI_PET Database” provides a set of data projections and tools available for a variety of scientific and practical applications, illustrating trends and magnitude of predicted climatic and eco-hydrological impacts on terrestrial ecosystems. The Future_Global_AI_PET Database is archived in the ScienceDB repository and available online at: https://doi.org/10.57760/sciencedb.nbsdc.00086
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 101003881 (project name NEXOGENESIS). Support was also received from National Key Basic Research Program of China (Grant No. 2014CB954100), and National Science Foundation China (Grant No. 31270524), National Recovery and Resilience Plan of Italian Ministry of University and Research funded by NextGenerationEU (Grant No: CN_00000033 NBFC). We thank the Center for Mountain Futures, Kunming Institute of Botany, China, and the Euro-Mediterranean Center on Climate Change (CMCC), IAFES Division, Sassari, Italy for additional support.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Amendment
The coefficient in Hargreaves equation is 0.0023 and not 0.023, and has now been corrected in the text.
