The Challenges of Micro-Nowcasting and the Women’s Slope Style Event at the PyeongChang 2018 Olympic Winter Games

P. Joe, Gyuwon Lee, Kwonil Kim
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Abstract

The Women’s Slope Style event of 11–12 February 2018 at the PyeongChang 2018 Olympic Winter Games posed considerable challenges to the competitors and decision-makers, requiring sub-kilometer and sub-minute weather predictions in complex terrain. The gusty wind conditions were unfair and unsafe as the competitors could not achieve sufficient speed to initiate or complete their jumps. The term micro-nowcasting is used here to reflect the extreme high-resolution nature of these science and service requirements. The World Meteorological Organization has conducted several research development and forecast demonstration projects to advance, accelerate and promote the art of nowcasting. Data from compact automatic weather stations, located along the field of play, reported every minute and were post-processed using time series, Hovmöller and wavelet transforms to succinctly present the information. The analyses revealed dominant frequencies of about 20 min, presumed to be associated with vortex shedding from the mountain ridges, but were unable to directly capture the gusts that affected the competitors. The systemic challenges from this and previous projects are reviewed. They include the lack of adequate scientific knowledge of microscale processes, gaps in modeling, the need for post-processing, forecast techniques, managing ever-changing service requirements and highlights the role of observations and the critical role of the forecaster. These challenges also apply to future high-resolution operational weather and warning services.
2018平昌冬奥会微临近预报和女子斜坡式项目的挑战
2018年2月11日至12日在平昌冬季奥运会上举行的女子斜坡式项目对选手和决策者提出了相当大的挑战,需要在复杂地形下进行分公里和分分钟的天气预报。狂风条件是不公平和不安全的,因为参赛者无法达到足够的速度开始或完成他们的跳跃。这里使用“微临近预报”一词是为了反映这些科学和服务需求的高分辨率本质。世界气象组织开展了若干研究发展和预报示范项目,以推进、加速和推广临近预报技术。位于比赛场地的小型自动气象站每分钟报告一次数据,并使用时间序列,Hovmöller和小波变换进行后处理,以简洁地呈现信息。分析显示,主导频率约为20分钟,据推测与山脊上的涡流脱落有关,但无法直接捕捉到影响竞争对手的阵风。回顾了本项目和以前项目的系统性挑战。它们包括缺乏对微尺度过程的充分科学知识、建模方面的差距、后处理的需要、预报技术、管理不断变化的服务需求,并强调了观测的作用和预报员的关键作用。这些挑战也适用于未来的高分辨率业务天气和预警服务。
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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