Precursors of hazard due to super cyclone AMPHAN for Kolkata, India from surface observations

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES MAUSAM Pub Date : 2024-03-24 DOI:10.54302/mausam.v75i2.6259
Sourish Bondyopadhyay, Mani Sankar Jana
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引用次数: 0

Abstract

The track, intensity, and associated hazards of a cyclone are mostly pre- dicted using NWP models, satellites, and radar. Though the cyclones originate and strengthen in the ocean, they cause devastation in the populated land area over which they ultimately pass. Over the years, the accuracy of cyclone prediction has improved a lot. Yet, there is some uncertainty in the accurate prediction of track, intensity and associated hazards. In this article, we have studied super cyclone AMPHAN and its hazards for Kolkata, India. Here, we have proposed a new scheme for improving the forecast accuracy for cyclone distance, associated wind, and hazard for lead time up to 12-24 hours ahead based on curve fitting techniques and extrapolation using surface observational data. For the prediction of distance of the system from the concerned station and corresponding gusty wind speed, the accuracy of the proposed scheme is found to be better than the existing operational forecast and various reputed NWP models.
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从地表观测数据看印度加尔各答超级气旋 "AMPHAN "造成危害的前兆
气旋的轨迹、强度和相关危害大多是通过 NWP 模式、卫星和雷达预报的。虽然气旋起源于海洋并在海洋中增强,但它们最终会在其经过的人口稠密的陆地地区造成破坏。多年来,气旋预测的准确性有了很大提高。然而,在准确预测路径、强度和相关危害方面仍存在一些不确定性。在本文中,我们研究了超级气旋 AMPHAN 及其对印度加尔各答的危害。在此,我们提出了一个新方案,基于曲线拟合技术和使用地表观测数据的外推法,提高气旋距离、相关风力和危害的预报精度,最长可提前 12-24 小时预报。在预测系统与相关站点的距离和相应的阵风风速时,发现所提方案的准确性优于现有的业务预报和各种著名的 NWP 模式。
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来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
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