CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060

Author:

Zomer Robert J.ORCID,Xu Jianchu,Spano Donatella,Trabucco AntonoORCID

Abstract

The “Future Global Aridity Index and 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

Funder

Horizon 2020 Framework Programme

Chinese Academy of Sciences

NextGenerationEU

National Science Foundation China

National Key Basic Research Program of China

Publisher

F1000 Research Ltd

Reference54 articles.

1. Crop evapotranspiration —guidelines for computing crop water requirements. FAO irrigation and drainage paper 56.;R Allen;Food Agr Org.,1998

2. Spatial and temporal variability of the Aridity Index in Greece.;P Nastos;Atmos Res.,2013

3. On the influence of vegetation cover changes and vegetation-runoff systems on the simulated summer potential evapotranspiration of tropical Africa using RegCM4.;S Anwar;Earth Syst Environ.,2021

4. The use of the aridity index to assess climate change effect on annual runoff.;V Arora;J Hydrol.,2002

5. Review of biometeorology of heatwaves and warm extremes in Europe.;B Basarin;Atmosphere.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3