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Evolution of spatio-temporal drought characteristics: Validation, projections and effect of adaptation scenarios

机译:时空干旱特征的演变:适应情景的验证,预测和影响

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Drought events develop in both space and time and they are therefore best described through summary joint spatio-temporal characteristics, such as mean duration, mean affected area and total magnitude. This paper addresses the issue of future projections of such characteristics of drought events over France through three main research questions: (1) Are downscaled climate projections able to simulate spatio-temporal characteristics of meteorological and agricultural droughts in France over a present-day period? (2) How such characteristics will evolve over the 21st century? (3) How to use standardized drought indices to represent theoretical adaptation scenarios? These questions are addressed using the Isba land surface model, downscaled climate projections from the ARPEGE General Circulation Model under three emissions scenarios, as well as results from a previously performed 50-yr multilevel and multiscale drought reanalysis over France. Spatio-temporal characteristics of meteorological and agricultural drought events are computed using the Standardized Precipitation Index and the Standardized Soil Wetness Index, respectively, and for time scales of 3 and 12 months. Results first show that the distributions of joint spatio-temporal characteristics of observed events are well simulated by the downscaled hydroclimate projections over a present-day period. All spatio-temporal characteristics of drought events are then found to dramatically increase over the 21st century, with stronger changes for agricultural droughts. Two theoretical adaptation scenarios are eventually built based on hypotheses of adaptation to evolving climate and hydrological normals, either retrospective or prospective. The perceived spatio-temporal characteristics of drought events derived from these theoretical adaptation scenarios show much reduced changes, but they call for more realistic scenarios at both the catchment and national scale in order to accurately assess the combined effect of local-scale adaptation and global-scale mitigation.
机译:干旱事件在时空上都有发展,因此最好通过总结联合时空特征(例如平均持续时间,平均受灾面积和总强度)来最好地描述它们。本文通过三个主要研究问题来解决法国干旱事件的此类特征的未来预测问题:(1)降尺度的气候预测是否能够模拟当今法国气象和农业干旱的时空特征? (2)这些特征将在21世纪如何演变? (3)如何使用标准化干旱指数来表示理论适应情景?这些问题使用Isba地表模型,ARPEGE总环流模型在三种排放情景下的降尺度气候预测以及之前在法国进行的50年多层次和多尺度干旱再分析的结果来解决。分别使用标准降水指数和标准土壤湿度指数以及3个月和12个月的时间尺度来计算气象和农业干旱事件的时空特征。结果首先表明,通过减小尺度的水文气候预测,可以很好地模拟观测事件的联合时空特征分布。然后发现,在21世纪,干旱事件的所有时空特征都急剧增加,而农业干旱发生的变化更大。最终基于对不断变化的气候和水文法线的适应性假设(追溯性或前瞻性)建立了两种理论适应方案。从这些理论上的适应情景得出的干旱事件的时空感知特征显示出减少的变化很大,但它们呼吁在集水区和国家范围内都采用更现实的情景,以便准确地评估局部尺度适应和全球气候变化的综合影响。减轻规模。

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