Towards improved short-term forecasting for Lake Victoria Basin: Part I – A radar-based convective mode analysis

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Weather and Forecasting Pub Date : 2023-10-04 DOI:10.1175/waf-d-23-0039.1
Anna del Moral Méndez, Tammy M. Weckwerth, Rita D. Roberts, James W. Wilson
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Abstract

Abstract East African countries benefit economically from the largest freshwater lake in Africa: Lake Victoria (LV). Around 30 million people live along its coastline and 5.4 million people subsist on its fishing industry. However, more than 1,000 fishermen die annually by high-wave conditions often produced by severe convective wind phenomena, which marks this lake one of the deadliest places in the world for hazardous weather impacts. The World Meteorological Organization launched the 3-year “HIGH impact Weather lAke sYstem” (HIGHWAY) project, with the main objective to reduce loss of lives and economic goods in the lake basin and improve the resilience of the local communities. The project conducted a field campaign in 2019 aiming to provide forecasters with high-resolution observations and to study the storm life cycle over the lake basin. The research discussed here used the S-band polarimetric Tanzania radar from the field campaign to investigate the diurnal cycle of the convective mode over the lake. We classified the lake storms occurring during the two wet seasons into six different convective modes and present their diurnal evolution, organization, and main radar-based attributes, thereby extending the knowledge of convection on the lake. The result is the creation of a “convection catalog for Lake Victoria,” using the operational forecast lake sectors, and defining the exact times for the different timeslots resulting from the HIGHWAY project for the marine forecast. This will inform methods to improve the marine operational forecasts for Lake Victoria, and to provide the basis for new Standard Operation Procedures (SOP) for severe weather surveillance and warning.
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改进维多利亚湖流域的短期预报:第一部分-基于雷达的对流模式分析
东非国家受益于非洲最大的淡水湖:维多利亚湖(LV)。大约有3000万人生活在它的海岸线上,540万人靠渔业为生。然而,每年有超过1000名渔民死于通常由强对流风现象产生的高波条件,这使得这个湖成为世界上最致命的恶劣天气影响地区之一。世界气象组织启动了为期三年的“高影响天气湖泊系统”(HIGHWAY)项目,其主要目标是减少湖盆地区的生命和经济损失,提高当地社区的复原力。该项目于2019年开展了一项实地活动,旨在为预报员提供高分辨率观测数据,并研究湖盆上空的风暴生命周期。本文讨论的研究使用了来自野外运动的s波段偏振坦桑尼亚雷达来研究湖上对流模式的日循环。我们将两个雨季湖泊风暴划分为6种不同的对流模式,并给出了它们的日演变、组织和主要基于雷达的属性,从而扩展了对湖泊对流的认识。结果是创建了“维多利亚湖对流目录”,使用业务预报湖泊部门,并为海洋预报的HIGHWAY项目产生的不同时间段定义确切的时间。这将为改善维多利亚湖的海上预报提供方法,并为恶劣天气监测和预警的新标准作业程序提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.
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