印度极端降雨研究综述

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引用次数: 0

摘要

由于全年频繁发生水文气象极端事件,印度地区的气候脆弱性成为人们关注的主要问题。近几十年来,印度次大陆与季风、雷暴和短时局地云爆相关的极端降雨事件(ERE)数量有所增加,这些事件主要持续数小时至数天不等。有必要对这些高影响天气事件进行量化,并了解其时空动态和相关物理过程,以便为积极的灾害管理进行实时预测。本文重点介绍了已开展的各种研究工作,并提出了观测和建模工作的必要性,以模拟/预测印度大陆的EREs。从喜马拉雅地区(列城、北阿坎德邦、喜马偕尔邦)的云爆雨到喀拉拉邦、班加罗尔、孟买、钦奈等地的暴雨,都是早期研究人员的研究成果。本汇编利用 IMD 72 年的网格降雨观测数据分析了印度的ERE 强度和频率分布。分析表明,印度次大陆ERE 期间的日降雨强度呈上升趋势。报告回顾了对 ERE 的多尺度研究现状,以及基于气候模型输出结果的未来变化和挑战。该领域的最新研究还强调了对最先进的中尺度模式(如天气研究和预报(WRF)模式)利用高性能计算和同化技术在高分辨率下模拟此类事件的能力进行评估。除了厄尔尼诺南方涛动(ENSO)等大尺度物理过程的影响外,还介绍了城市化和地形在模拟对流中尺度事件中的敏感性,这表明缩小尺度的数据是进行 ERE 研究的最佳工具。这篇综述必将有助于跨学科研究人员对高影响水文气象灾害事件进行极端分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review on the extreme rainfall studies in India

Climate vulnerability in the Indian region becomes a major concern due to the frequent hydro-meteorological extreme events throughout the year. The number of extreme rainfall events (ERE) associated with monsoon, thunderstorms and short-spanned local cloudbursts which are mainly ranges from a few hours to a few days, has increased in recent decades over the subcontinent. There is a need to quantify these high impact weather events and to understand the spatio-temporal dynamics and associated physical processes for the real time prediction for pro-active disaster management. This review paper highlights the various research works carried out and suggests the need of observation, modelling efforts for simulation/prediction of the EREs in the continental India. The works starting from cloudburst in the Himalayan region (Leh, Uttarakhand, Himachal Pradesh) to the heavy rainfall in Kerala, Bangalore, Mumbai, Chennai etc. as presented by earlier researchers are being reported in this compilation. The ERE intensity and frequency distribution in India are being analyzed using IMD gridded rainfall observation for 72 years. The analysis indicates the increasing trend in the intensity of daily rainfall during the ERE in the subcontinent. The current state of research in the multi-scale study of the ERE as well as their future changes based on climate model outputs are reviewed and the challenges are also reviewed. Evaluation of the capability of the state of art meso scale models like Weather Research and Forecasting (WRF) model for the simulation of such events at high resolution using the high-performance computing and the assimilation techniques are also emphasized in the recent research in this field. Along with the impact of large-scale physical processes like El Nino Southern Oscillations (ENSO), also the sensitivity of the urbanization, topography in the simulation of the convective meso-scale events is being presented and which indicated the down-scaled data are the best tool for the ERE research. This review will surely help the interdisciplinary researchers for the extreme analysis of the high impact hydro-meteorological disaster events.

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