热带气旋AMPHAN登陆时雨量及风场预报位移误差的改进

IF 2.4 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Tropical Cyclone Research and Review Pub Date : 2022-09-01 DOI:10.1016/j.tcrr.2022.09.004
S.D. Kotal, S.K. Bhattacharya
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引用次数: 0

摘要

由于数值模式对热带气旋登陆地点的预测不正确,导致热带气旋登陆时的雨量及风速预报出现明显的空间分布误差。误差的两个主要方面是:(i)对模型预测位置的高估和(ii)对tc观测位置的低估。提出了一种实时改进降雨和风场预报的修正方法,并对2020年孟加拉湾典型的TC AMPHAN进行了验证。本文提出的改进模式预报的方法是将印度气象局的模式预报位置迁移到印度气象局(IMD)的实时官方预报位置。修正后的预报结果应用于IMD全球预报系统(GFS)的实际数值模式。应用表明,该方法对两个位置的参数都有较大的改善。在预报提前48 h、72 h和96 h时,位移预报误差比GFS预报地点和观测地点分别提高了44.1% ~ 69.8%和72.1% ~ 85.2%。在预报提前60 h、72 h时,风速预报比GFS预报地点和观测地点分别提高了27.6% ~ 56.0%和63.7% ~ 84.6%。和84 h。结果表明,该技术能够提供与tc登陆相关的降雨和风速的空间分布预报,并为业务预报员提供有用的指导。
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Improvement of displacement error of rainfall and wind field forecast associated with landfalling tropical cyclone AMPHAN

Spatial distribution of rainfall and wind speed forecast errors associated with landfalling tropical cyclones (TC) occur significantly due to incorrect location forecast by numerical models. Two major areas of errors are: (i) over-estimation over the model forecast locations and (ii) underestimation over the observed locations of the TCs. A modification method is proposed for real-time improvement of rainfall and wind field forecasts and demonstrated for the typical TC AMPHAN over the Bay of Bengal in 2020. The proposed method to improve the model forecasts is a relocation method through shifting of model forecast locations of TC to the real-time official forecast locations of India Meteorological Department (IMD). The modification is applied to the forecasts obtained from the operational numerical model, the Global Forecast System (GFS) of IMD. Application of the proposed method shows considerable improvement of both the parameters over both the locations. The rainfall forecast errors due to displacement are found to have improved by 44.1%–69.8% and 72.1%–85.2% over the GFS forecast locations and over the observed locations respectively for the respective forecast lead times 48 h, 72 h, and 96 h. Similarly, the wind speed forecasts have improved by 27.6%–56.0% and 63.7%–84.6% over the GFS forecast locations and over the observed locations respectively for the respective forecast lead times 60 h, 72 h, and 84 h. The results show that the proposed technique has capacity to provide improved spatial distributions of rainfall and wind speed forecasts associated with landfalling TCs and useful guidance to operational forecasters.

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来源期刊
Tropical Cyclone Research and Review
Tropical Cyclone Research and Review METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.60
自引率
3.40%
发文量
184
审稿时长
30 weeks
期刊介绍: Tropical Cyclone Research and Review is an international journal focusing on tropical cyclone monitoring, forecasting, and research as well as associated hydrological effects and disaster risk reduction. This journal is edited and published by the ESCAP/WMO Typhoon Committee (TC) and the Shanghai Typhoon Institute of the China Meteorology Administration (STI/CMA). Contributions from all tropical cyclone basins are welcome. Scope of the journal includes: • Reviews of tropical cyclones exhibiting unusual characteristics or behavior or resulting in disastrous impacts on Typhoon Committee Members and other regional WMO bodies • Advances in applied and basic tropical cyclone research or technology to improve tropical cyclone forecasts and warnings • Basic theoretical studies of tropical cyclones • Event reports, compelling images, and topic review reports of tropical cyclones • Impacts, risk assessments, and risk management techniques related to tropical cyclones
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