基于cmip6的2021-2060年全球未来干旱指数和潜在蒸散量估算。

Open research Europe Pub Date : 2025-03-06 eCollection Date: 2024-01-01 DOI:10.12688/openreseurope.18110.2
Robert J Zomer, Jianchu Xu, Donatella Spano, Antonio Trabucco
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引用次数: 0

摘要

“Future_Global_AI_PET数据库”为22个CMIP6地球系统模型提供了两个未来(2021-2041;2041-2060)和两个历史的(1960-1990;四个共同的社会经济途径(SSP)中的每一个。还提供了三个多模式总体平均值(All;多数共识,高风险),与气候模式不确定性相关的风险程度不同。提供了方法方法、地理空间实施和结果技术评价的概述。将历史结果与气象站数据进行技术验证比较(PET: r 2 = 0.72;AI: r 2 = 0.91)和CRU_TS v 4.04数据集(PET: r 2 = 0.67;AI: r 2 = 0.80)。在预测近期和中期重大变化的背景下,“Future_Global_AI_PET数据库”为各种科学和实际应用提供了一套数据预测和工具,说明了预测的气候和生态水文对陆地生态系统的影响的趋势和程度。Future_Global_AI_PET数据库存档在ScienceDB存储库中,可在线访问:https://doi.org/10.57760/sciencedb.nbsdc.00086。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060.

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.

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