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Specific climate classification for Mediterranean hydrology and future evolution under Med-CORDEX regional climate model scenarios

机译:Med-Cordex区域气候模型情景下的地中海水文和未来演化的具体气候分类

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The Mediterranean region is one of the most sensitive regions to anthropogenic and climatic changes, mostly affecting its water resources and related practices. With multiple studies raising serious concerns about climate shifts and aridity expansion in the region, this one aims to establish a new high-resolution classification for hydrology purposes based on Mediterranean-specific climate indices. This classification is useful in following up on hydrological (water resource management, floods, droughts, etc.) and ecohydrological applications such as Mediterranean agriculture. Olive cultivation is the characteristic agricultural practice of the Mediterranean region. The proposed approach includes the use of classic climatic indices and the definition of new climatic indices, mainly precipitation seasonality index?Is or evapotranspiration threshold?SPET, both in line with river flow regimes, a principal component analysis to reduce the number of indices, K-means classification to distribute them into classes, and finally the construction of a decision tree based on the distances to class kernels to reproduce the classification without having to repeat the whole process. The classification was set and validated by WorldClim-2 at 1km high-resolution gridded data for the 1970–2000?baseline period and 144?stations' data over 30?to 120?years, both at monthly time steps. Climatic classes coincided with a geographical distribution in the Mediterranean ranging from the most seasonal and driest class?1 in the south to the least seasonal and most humid class?5 in the north, showing the climatic continuity from one place to another and enhancing the visibility of change trends. The MED-CORDEX ALADIN and CCLM historical and projected data at 12?and 50km resolution simulated under the RCP4.5 and?8.5 scenarios for the 2070–2100?period served to assess the climate change impact on this classification by superimposing the projected changes on the baseline grid-based classification. RCP scenarios increase the seasonality index?Is by +80% and the aridity index?IArid by +60% in the north and?IArid by +10% without Is?change in the south, hence causing the wet season shortening and river regime modification with the migration north of moderate and extreme winter regimes instead of early spring regimes. The ALADIN and CCLM?regional climate models (RCMs) have demonstrated an evolution of the Mediterranean region towards arid climate. The classes located to the north are slowly evolving towards moderate coastal classes, which might affect hydrologic regimes due to shorter humid seasons and earlier snowmelts. These scenarios might look favourable for Mediterranean cultivation; however, the expected impact on water resources and flow regimes will surely expand and directly hit ecosystems, food, health, and tourism, as risk is interconnected between domains. This kind of classification might be reproduced at the global scale, using the same or other climatic indices specific to each region, highlighting their physiographic characteristics and hydrological responses.
机译:地中海地区是人为和气候变化最敏感的地区之一,主要影响其水资源和相关实践。随着多项研究提高了对该地区气候变化和干旱的严重关切,这一目标是基于地中海特定气候指标建立新的高分辨率分类。该分类可用于跟进水文(水资源管理,洪水,干旱等)和地中海农业等生态水文应用。橄榄种植是地中海地区的特征农业实践。拟议的方法包括使用经典气候指数和新气候指数的定义,主要是降水季节性指数?是或蒸散蒸腾阈值?Spet,无论是河流流程,一个主要成分分析,以减少索引数量,K - 模拟分类以将它们分发到类中,最后基于对类内核的距离构建决策树以重现分类而无需重复整个过程。通过WorldClim-2在1970 - 2000年的1km高分辨率网格数据上设定和验证了分类,为基线期间和144个(144位)超过30?到120?多年,每月时间步长。气候课程恰逢地中海的地理分布,从最季节性和最干燥的班级?1在南部到最小的季节性和最潮湿的课程?5在北方,从一个地方展示了一个地方到另一个地方的气候连续性,并提高了可见性改变趋势。 Med-Cordex Aladin和CCLM历史和投影数据在12岁以下?和50公里的分辨率下,并在RCP4.5和2070-2100的情况下模拟了一些方案,通过叠加预计的变更,评估对这一分类的气候变化影响基于基于基于基于基于基于基于基于基于网格的分类。 RCP方案增加了季节性指数?+ 80%和干旱指数?IARID在北方+ 60%,+ 10%没有?在南方的变化,因此导致潮湿的瞬间和河流制度改造随着中等和极端冬季制度的迁移而不是早春政权。阿拉丁和CCLM?区域气候模型(RCMS)已经表现出地中海地区的演变,朝着干旱的气候发展。位于北部的类都慢慢地向中等沿海班,这可能会影响水文制度由于较短的潮湿季节和早期融雪发展。这些情景可能看起来有利于地中海培养;然而,对水资源和流动制度的预期影响肯定会扩大并直接打击生态系统,食品,健康和旅游,因为风险在域之间相互连接。这种分类可以在全球范围内再现,使用每个区域特异的相同或其他气候指数,突出其基质特征和水文反应。

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