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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Drought characterization over India under projected climate scenario
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Drought characterization over India under projected climate scenario

机译:预计气候情景下印度的干旱特征

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> The study evaluates the drought characteristics in India over projected climatic scenarios in different time frames, that is, near‐future (2010–2039), mid‐future (2040–2069), and far‐future (2070–2099) in comparison with reference period (1976–2005). Standardized Precipitation Evapotranspiration Index (SPEI), a multi‐scalar drought index was used owing to its robustness in capturing drought conditions while accounting the temperature. Gridded rainfall and temperature data provided by India Meteorological Department (IMD) was used to perform bias correction of nine Global Climate Models (GCMs) from Coupled Model Intercomparison Project Phase 5 (CMIP5) project. Quantile mapping was used to correct the daily rainfall data at seasonal scale whereas daily temperature data was corrected at monthly scale. Multi‐Model Ensemble (MME) was prepared for different homogeneous monsoon regions of India, namely Hilly Regions (HR), Central Northeast (CNE), Northeast (NE), Northwest (NW), West Central (WC), and Peninsula (PS). Taylor diagram statistics were used for the preparation of MME. The regional climate cycle obtained from MME was found to be in good agreement with observed cycle derived from IMD data. The Mann–Kendal trend test was employed to detect the trend in drought severity and magnitude whereas L ‐moments based frequency analysis was used to assess the magnitude of extreme drought severity under different time frames. The study reveals an increasing trend in drought severity, duration, occurrences, and the average length of drought under warming climate scenarios. Furthermore, the area under “above moderate drought” (i.e., severe and extreme drought combined) condition was also found to be increasing in projected climate.
机译: >研究评估了在不同时间框架中投影气候情景的印度的干旱特征,即近期(2010-2039),中期未来(2040-2069)和远期(2070-2099)与参考期(1976-2005)相比。由于其在占据温度的同时捕获干旱条件的鲁棒性,使用了标准化降水蒸散率指数(SPEI),使用了多标标干旱指数。印度气象部门(IMD)提供的网格降雨量和温度数据用于从耦合型号的型号互相项目阶段5(CMIP5)项目进行偏压校正九个全球气候模型(GCMS)。定量映射用于纠正季节性规模的日常降雨数据,而日常温度数据按月校正。为印度的不同均匀季风区提供多模型集合(MME),即丘陵地区(HR),中央东北(CNE),东北(NE),西北(NW),西部中央(WC)和半岛(PS )。泰勒图统计用于制备MME。从MME获得的区域气候循环被发现与来自IMD数据的观察周期吻合良好。使用Mann-Kendal趋势试验来检测干旱严重程度和幅度的趋势,而 L - 基于频率分析用于评估不同时间框架下极端干旱严重程度的大小。该研究揭示了在温暖的气候情景下干旱严重程度,持续时间,发生和干旱平均长度的趋势。此外,在预计气候中也发现“高于温和的干旱”(即,严重和极端干旱)的区域增加。

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