Wang Menghao, Menzel Lucas, Jiang Shanhu, Ren Liliang, Xu Chong-Yu, Cui Hao
The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; Cooperative Innovation Center for Water Safety and Hydro-Science, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
Department of Geography, Professorship in Hydrology and Climatology, Heidelberg University, Heidelberg D-69120, Germany.
Sci Total Environ. 2023 Dec 15;904:166815. doi: 10.1016/j.scitotenv.2023.166815. Epub 2023 Sep 4.
Flash droughts are a recently recognised type of extreme drought defined by the rapid onset and strong intensification of drought conditions. Our understanding of flash drought processes under the influence of heat waves needs to be improved in the context of global warming. Here, we applied a physically based hydrological model, i.e., TRAnspiration and INterception (TRAIN) model to simulate root zone soil moisture (RZSM) and evapotranspiration (ET) with daily time steps and at a 1 × 1 km resolution to identify and assess flash droughts. Two states, Baden-Württemberg (BW) and Rhineland-Palatinate (RP), located in southwestern Germany, were selected as the study areas. Three datasets, the Global Land Evaporation Amsterdam Model (GLEAM) dataset, ERA5-Land (land component of the fifth generation of European ReAnalysis) dataset, and SMAP-L4 (Soil Moisture Active Passive Level-4) dataset, were selected to evaluate the TRAIN simulated RZSM and ET from 1961 to 2016. The results show that the simulated RZSM had the highest correlation with the ERA5-Land products, followed by SMAP-L4 and GLEAM, with regional average correlation coefficients (CC) of 0.765, 0.762, and 0.746, respectively. The CC of the TRAIN simulated ET with ERA5-Land and GLEAM ET were 0.828 and 0.803, respectively. The results of the trend analyses showed a significant increase (p < 0.05) in the number of flash droughts and heat waves in both the BW and RP states. A comparative analysis revealed that the mean duration and onset speed of flash droughts in BW (RP) without heat waves were 10.42 (10.67) pentads and 19.69th percentile/pentad (17.16th percentile/pentad), respectively, while associated with heat waves they were 8.95 (9.53) pentads and 21.77th percentile/pentad (19.91th percentile/pentad), respectively. This indicates that flash droughts under the influence of heat waves are generally shorter in duration but faster in occurrence. The findings of this study have important implications for flash drought assessment, monitoring, and mitigation under the impact of heat waves.
骤发干旱是一种最近才被认识到的极端干旱类型,其定义为干旱状况的快速 onset 和强烈 intensification 。在全球变暖的背景下,我们对热浪影响下的骤发干旱过程的理解有待提高。在此,我们应用了一个基于物理的水文模型,即蒸腾与截留(TRAIN)模型,以每日时间步长和1×1千米的分辨率模拟根区土壤湿度(RZSM)和蒸散量(ET),以识别和评估骤发干旱。选取了位于德国西南部的两个州,巴登-符腾堡州(BW)和莱茵兰-普法尔茨州(RP)作为研究区域。选择了三个数据集,全球陆地蒸发阿姆斯特丹模型(GLEAM)数据集、ERA5-Land(第五代欧洲再分析的陆地部分)数据集和SMAP-L4(土壤湿度主动被动四级)数据集,来评估TRAIN在1961年至2016年期间模拟的RZSM和ET。结果表明,模拟的RZSM与ERA5-Land产品的相关性最高,其次是SMAP-L4和GLEAM,区域平均相关系数(CC)分别为0.765、0.762和0.746。TRAIN模拟的ET与ERA5-Land和GLEAM ET的CC分别为0.828和0.803。趋势分析结果表明,BW和RP两个州的骤发干旱和热浪数量均显著增加(p<0.05)。一项比较分析显示,在没有热浪的情况下,BW(RP)的骤发干旱平均持续时间和 onset 速度分别为10.42(10.67)候和第19.69百分位数/候(第17.16百分位数/候),而与热浪相关时,分别为8.95(9.53)候和第21.77百分位数/候(第19.91百分位数/候)。这表明热浪影响下的骤发干旱通常持续时间较短,但发生速度较快。本研究结果对热浪影响下的骤发干旱评估、监测和缓解具有重要意义。