CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060
<ns4: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 ( <ns4:italic>PET: r</ns4:italic> <ns4:sup>2</ns4:sup> = 0 <ns4:italic>.72; AI: r</ns4:italic> <ns4:sup>2</ns4:sup> = <ns4:italic>0.91</ns4:italic> ) and the CRU_TS v 4.04 dataset ( <ns4:italic>PET: r</ns4:italic> <ns4:sup>2</ns4:sup> = 0 <ns4:italic>.67;</ns4:italic> AI: <ns4:italic>r</ns4:italic> <ns4:sup>2</ns4:sup> = 0 <ns4:italic>.80</ns4:italic> ). 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: <ns4:ext-link xmlns:ns5="http://www.w3.org/1999/xlink" ext-link-type="uri" ns5:href="https://doi.org/10.57760/sciencedb.nbsdc.00086">https://doi.org/10.57760/sciencedb.nbsdc.00086</ns4:ext-link> </ns4:p>
Authors
- Antonio Trabucco (ORCID: https://orcid.org/0000-0002-0743-3680)
- Donatella Spano (ORCID: https://orcid.org/0000-0002-5661-0241)
- Robert J. Zomer (ORCID: https://orcid.org/0000-0002-2259-3359)
- Jianchu Xu (ORCID: https://orcid.org/0000-0002-2485-2254)
Publication Details
- Journal
- Open Research Europe
- Published
- 2025-03-06
- DOI
- https://doi.org/10.12688/openreseurope.18110.3
- Citations
- 1
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- Chinese Academy of Sciences
- Horizon 2020 Framework Programme