Ensembles of radar nowcasts and COSMO-DE-EPS for urban flood management

Author:

Jasper-Tönnies Alrun1,Hellmers Sandra2,Einfalt Thomas1,Strehz Alexander1,Fröhle Peter2

Affiliation:

1. hydro & meteo GmbH & Co. KG, Breite Str. 6-8, Lübeck D-23552, Germany

2. Institute of River and Coastal Engineering, Hamburg University of Technology, Hamburg, Germany

Abstract

Abstract Sophisticated strategies are required for flood warning in urban areas regarding convective heavy rainfall events. An approach is presented to improve short-term precipitation forecasts by combining ensembles of radar nowcasts with the high-resolution numerical weather predictions COSMO-DE-EPS of the German Weather Service. The combined ensemble forecasts are evaluated and compared to deterministic precipitation forecasts of COSMO-DE. The results show a significantly improved quality of the short-term precipitation forecasts and great potential to improve flood warnings for urban catchments. The combined ensemble forecasts are produced operationally every 5 min. Applications involve the Flood Warning Service Hamburg (WaBiHa) and real-time hydrological simulations with the model KalypsoHydrology.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

Reference20 articles.

1. Nowcasting of rainfall and of combined sewage flow in urban drainage systems;Water Science and Technology,2009

2. An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios;Hydrology and Earth System Sciences,2011

3. Ensemble hydro-meteorological simulation for flash flood early detection in Southern Switzerland;Journal of Hydrology,2012

4. Improving QPF by blending techniques at the meteorological service of Catalonia;Natural Hazards and Earth System Sciences,2010

5. Operational convective-scale numerical weather prediction with the COSMO model: description and sensitivities;Monthly Weather Review,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3