On the need of ensemble flood forecast in India

Q1 Earth and Planetary Sciences
Nanditha J.S. , Vimal Mishra
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引用次数: 26

Abstract

Floods affect a large fraction of the Indian population during the monsoon (June-September) every year. Floods disrupt all aspects of the socio-economic conditions and cause enormous damage to infrastructure and agriculture. Human mortality and economic losses due to floods have increased in India during recent decades. Moreover, floods are projected to occur more frequently in the future under the warming climate. Both structural and non-structural measures are common in India to mitigate the detrimental impacts of floods. However, the challenges and opportunities for operational flood forecast systems in India have not been carefully evaluated. Here, we review the current status and future requirements to strengthen the flood early warning systems in India. India made tremendous progress in developing the ensemble prediction system for precipitation forecast. Precipitation forecast is available at various spatial and temporal resolutions, which provides a skilful prediction of extreme precipitation at short (1–3 day) and longer (15–20 day) lead times. However, the spatial and temporal resolutions and lead time need to be improved for precipitation forecast in smaller catchments and urban areas, which are prone to flash flooding. There is a need to translate the ensemble weather and climate forecast to hydrologic ensemble prediction (HEP) system through the integration of improved meteorological forecast, hydrologic and hydraulic modelling, data assimilation, and post-processing. We also highlight the role of improved inflow forecast at the appropriate lead for reservoir operations as the decisions related to reservoir operations can be critical for flood management. We, finally, discuss the need for an integrated approach at various levels to enhance the operational flood forecast in India, which is essential for the development of an effective flood early warning system.

论印度洪水综合预报的必要性
每年季风(6月至9月)期间,洪水都会影响很大一部分印度人口。洪水破坏了社会经济条件的各个方面,对基础设施和农业造成巨大破坏。近几十年来,印度因洪水造成的死亡人数和经济损失有所增加。此外,在气候变暖的情况下,洪水预计将在未来更频繁地发生。结构性和非结构性措施在印度都很常见,以减轻洪水的有害影响。然而,印度运行洪水预报系统的挑战和机遇尚未得到仔细评估。在此,我们回顾了印度加强洪水预警系统的现状和未来需求。印度在开发用于降水预报的集合预报系统方面取得了巨大进展。降水预报具有不同的时空分辨率,可在短(1-3天)和长(15-20天)的提前期对极端降水进行准确预报。然而,在容易发生山洪暴发的小流域和城市地区,降水预报的时空分辨率和提前时间有待提高。需要通过综合改进气象预报、水文水工模拟、数据同化和后处理,将集合天气和气候预报转化为水文集合预报系统。我们还强调了在水库运行的适当领导下改进入流预测的作用,因为与水库运行相关的决策对洪水管理至关重要。最后,我们讨论了在各个层面采取综合方法来加强印度的业务洪水预报的必要性,这对于发展有效的洪水预警系统至关重要。
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来源期刊
Water Security
Water Security Earth and Planetary Sciences-Oceanography
CiteScore
8.50
自引率
0.00%
发文量
17
期刊介绍: Water Security aims to publish papers that contribute to a better understanding of the economic, social, biophysical, technological, and institutional influencers of current and future global water security. At the same time the journal intends to stimulate debate, backed by science, with strong interdisciplinary connections. The goal is to publish concise and timely reviews and synthesis articles about research covering the following elements of water security: -Shortage- Flooding- Governance- Health and Sanitation
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