Projected frequency of low to high-intensity rainfall events over India using bias-corrected CORDEX models

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Research Pub Date : 2024-11-03 DOI:10.1016/j.atmosres.2024.107760
Alugula Boyaj , Palash Sinha , U.C. Mohanty , V. Vinoj , Karumuri Ashok , Sahidul Islam , A. Kaginalkar , M. Khare
{"title":"Projected frequency of low to high-intensity rainfall events over India using bias-corrected CORDEX models","authors":"Alugula Boyaj ,&nbsp;Palash Sinha ,&nbsp;U.C. Mohanty ,&nbsp;V. Vinoj ,&nbsp;Karumuri Ashok ,&nbsp;Sahidul Islam ,&nbsp;A. Kaginalkar ,&nbsp;M. Khare","doi":"10.1016/j.atmosres.2024.107760","DOIUrl":null,"url":null,"abstract":"<div><div>Heavy rainfall events and associated floods have emerged as one of the great threats to society that mainly manifested due the climate change. The Indian summer monsoon (ISM) contributes 80 % of annual rainfall and is characterized mainly by high-intensity rainfall events (HiREs) in the recent era. We investigated the spatiotemporal variability of HiREs from a climate change perspective by accessing the India Meteorological Department's (IMD) observed daily gridded rainfall dataset (0.25° × 0.25°) from 1961 to 2020 during the ISM season. Our observational analysis shows that the ISM total and the frequency of low- to high-intensity rainfall events have significantly decreased mostly over the central northeastern, Jammu and Kashmir, and some places in the northeastern and central parts of India. However, they have significantly increased over Gujarat, the northwestern, the Western Ghats, and the southern parts of India during the present climate period (1991–2020) compared to the past climate period (1961–1990). Furthermore, we explored the fidelity of five Coordinated Regional Climate Downscaling Experiments (CORDEX) Regional Climate Models (RCMs) in simulating the spatiotemporal variability of ISM total rainfall and the frequency of low- to high-intensity rainfall events over India during the historical (1976–2005) and future periods (2006–2100). All CORDEX RCMs overestimate the ISM total rainfall over India's heavy rainfall zones during the historical period by ∼10–30 % compared to IMD observations. To improve CORDEX RCM's skills in simulating the frequency of low- to high-intensity rainfall events, we employed a percentile-based bias correction technique. Compared to non-bias-corrected outputs from the RCMs, the quantile-bias-corrected method significantly enhanced the probability of detection rate (hit rate) in all studied models for extreme, heavy, and moderate rainfall events, excluding light rainfall events. Interestingly, the improvement is greater for extreme events, followed by heavy and moderate rainfall events. The composite hit rate of all the models shows 381 %, 146 %, and 44 % improvement for extreme, heavy, and moderate events, respectively. It is noticed that the CCCMA model performed better than the other four CORDEX models in capturing the spatial patterns of ISM total rainfall and the frequency of total extreme and heavy rainfall events over higher rainfall zones in India. Additionally, this study suggests that there will likely be no significant changes in ISM total rainfall over India in the future, but the frequency of total extreme and heavy rainfall events will most likely increase, while the frequency of moderate rainfall events will likely decrease mostly over southern parts of India in future projections.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"312 ","pages":"Article 107760"},"PeriodicalIF":4.5000,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169809524005428","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Heavy rainfall events and associated floods have emerged as one of the great threats to society that mainly manifested due the climate change. The Indian summer monsoon (ISM) contributes 80 % of annual rainfall and is characterized mainly by high-intensity rainfall events (HiREs) in the recent era. We investigated the spatiotemporal variability of HiREs from a climate change perspective by accessing the India Meteorological Department's (IMD) observed daily gridded rainfall dataset (0.25° × 0.25°) from 1961 to 2020 during the ISM season. Our observational analysis shows that the ISM total and the frequency of low- to high-intensity rainfall events have significantly decreased mostly over the central northeastern, Jammu and Kashmir, and some places in the northeastern and central parts of India. However, they have significantly increased over Gujarat, the northwestern, the Western Ghats, and the southern parts of India during the present climate period (1991–2020) compared to the past climate period (1961–1990). Furthermore, we explored the fidelity of five Coordinated Regional Climate Downscaling Experiments (CORDEX) Regional Climate Models (RCMs) in simulating the spatiotemporal variability of ISM total rainfall and the frequency of low- to high-intensity rainfall events over India during the historical (1976–2005) and future periods (2006–2100). All CORDEX RCMs overestimate the ISM total rainfall over India's heavy rainfall zones during the historical period by ∼10–30 % compared to IMD observations. To improve CORDEX RCM's skills in simulating the frequency of low- to high-intensity rainfall events, we employed a percentile-based bias correction technique. Compared to non-bias-corrected outputs from the RCMs, the quantile-bias-corrected method significantly enhanced the probability of detection rate (hit rate) in all studied models for extreme, heavy, and moderate rainfall events, excluding light rainfall events. Interestingly, the improvement is greater for extreme events, followed by heavy and moderate rainfall events. The composite hit rate of all the models shows 381 %, 146 %, and 44 % improvement for extreme, heavy, and moderate events, respectively. It is noticed that the CCCMA model performed better than the other four CORDEX models in capturing the spatial patterns of ISM total rainfall and the frequency of total extreme and heavy rainfall events over higher rainfall zones in India. Additionally, this study suggests that there will likely be no significant changes in ISM total rainfall over India in the future, but the frequency of total extreme and heavy rainfall events will most likely increase, while the frequency of moderate rainfall events will likely decrease mostly over southern parts of India in future projections.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用经过偏差校正的 CORDEX 模型预测印度上空低强度到高强度降雨事件的频率
暴雨事件和相关的洪水已成为对社会的巨大威胁之一,主要表现为气候变化。印度夏季季风(ISM)的降雨量占全年降雨量的 80%,近来主要以高强度降雨事件(HREs)为特征。我们通过访问印度气象局(IMD)1961 年至 2020 年 ISM 季节的日网格降雨量观测数据集(0.25° × 0.25°),从气候变化的角度研究了高强度降雨事件的时空变异性。我们的观测分析表明,印度东北部中部、查谟和克什米尔以及印度东北部和中部的一些地方的 ISM 总降雨量和低强度至高强度降雨事件的频率明显下降。然而,与过去的气候期(1961-1990 年)相比,在目前的气候期(1991-2020 年),印度古吉拉特邦、西北部、西高止山脉和南部地区的降雨量明显增加。此外,我们还探讨了五个协调区域气候降尺度实验(CORDEX)区域气候模式(RCMs)在模拟历史时期(1976-2005 年)和未来时期(2006-2100 年)印度上空 ISM 总降雨量的时空变异性和低强度至高强度降雨事件频率方面的保真度。与 IMD 观测结果相比,所有 CORDEX RCM 都高估了历史时期印度暴雨区的 ISM 总降雨量,高估幅度在 10-30% 之间。为了提高 CORDEX RCM 模拟低强度到高强度降雨事件频率的能力,我们采用了基于百分位数的偏差校正技术。与未经偏差校正的 RCM 输出结果相比,量化偏差校正方法显著提高了所有研究模型对极端、暴雨和中雨事件(不包括小雨事件)的检出率(命中率)。有趣的是,极端降雨事件的检测率提高幅度更大,其次是暴雨和中雨事件。在极端、暴雨和中雨事件中,所有模型的综合命中率分别提高了 381%、146% 和 44%。研究发现,CCCMA 模式在捕捉印度高降雨区 ISM 总降雨量的空间模式以及总极端降雨和暴雨事件频率方面的表现优于其他四个 CORDEX 模式。此外,该研究还表明,未来印度上空的 ISM 总降雨量可能不会发生重大变化,但总极端降雨量和暴雨事件的频率很可能会增加,而在未来预测中,印度南部地区的中雨事件频率可能会减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
期刊最新文献
Effect of complex orography on numerical simulations of a downburst event in Spain Towards an understanding of uncertainties in the Lagrangian analysis of moisture sources for tropical cyclone precipitation through a study case Regional differences in the effects of atmospheric moisture residence time on precipitation isotopes over Eurasia Impacts of climate trends on the heavy precipitation event associated with Typhoon Doksuri in Northern China The modulation effect of the Victoria mode on the uncertainty connection between ENSO and winter European surface air temperature
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1