Robert J Zomer, Jianchu Xu, Donatella Spano, Antonio Trabucco
{"title":"CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060.","authors":"Robert J Zomer, Jianchu Xu, Donatella Spano, Antonio Trabucco","doi":"10.12688/openreseurope.18110.2","DOIUrl":null,"url":null,"abstract":"<p><p>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 ( <i>PET: r</i> <sup>2</sup> = 0 <i>.72; AI: r</i> <sup>2</sup> = <i>0.91</i>) and the CRU_TS v 4.04 dataset ( <i>PET: r</i> <sup>2</sup> = 0 <i>.67;</i> AI: <i>r</i> <sup>2</sup> = 0 <i>.80</i>). 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.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"4 ","pages":"157"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806256/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open research Europe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/openreseurope.18110.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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: r2 = 0 .72; AI: r2 = 0.91) and the CRU_TS v 4.04 dataset ( PET: r2 = 0 .67; AI: r2 = 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.