Weather radar rainfall data in urban hydrology
-
Published:2017-03-07
Issue:3
Volume:21
Page:1359-1380
-
ISSN:1607-7938
-
Container-title:Hydrology and Earth System Sciences
-
language:en
-
Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Thorndahl SørenORCID, Einfalt Thomas, Willems Patrick, Nielsen Jesper EllerbækORCID, ten Veldhuis Marie-ClaireORCID, Arnbjerg-Nielsen KarstenORCID, Rasmussen Michael R., Molnar PeterORCID
Abstract
Abstract. Application of weather radar data in urban hydrological applications has evolved significantly during the past decade as an alternative to traditional rainfall observations with rain gauges. Advances in radar hardware, data processing, numerical models, and emerging fields within urban hydrology necessitate an updated review of the state of the art in such radar rainfall data and applications. Three key areas with significant advances over the past decade have been identified: (1) temporal and spatial resolution of rainfall data required for different types of hydrological applications, (2) rainfall estimation, radar data adjustment and data quality, and (3) nowcasting of radar rainfall and real-time applications. Based on these three fields of research, the paper provides recommendations based on an updated overview of shortcomings, gains, and novel developments in relation to urban hydrological applications. The paper also reviews how the focus in urban hydrology research has shifted over the last decade to fields such as climate change impacts, resilience of urban areas to hydrological extremes, and online prediction/warning systems. It is discussed how radar rainfall data can add value to the aforementioned emerging fields in current and future applications, but also to the analysis of integrated water systems.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference202 articles.
1. Achleitner, S., Fach, S., Einfalt, T., and Rauch, W.: Nowcasting of rainfall and of combined sewage flow in urban drainage systems, Water Sci. Technol., 59, 1145–1151, https://doi.org/10.2166/wst.2009.098, 2009. 2. Ahm, M., Thorndahl, S., Rasmussen, M. R., and Bassø, L.: Estimating subcatchment runoff coefficients using weather radar and a downstream runoff sensor, Water Sci. Technol., 68, 1293–1299, https://doi.org/10.2166/wst.2013.371, 2013. 3. Anagnostou, M. N. and Anagnostou, E. N.: Precipitation: Advances in Measurement, Estimation and Prediction, edited by: Michaelides, S., Springer Berlin Heidelberg, Berlin, Heidelberg, 2008. 4. Anagnostou, E. N., Anagnostou, M. N., Krajewski, W. F., Kruger, A., and Miriovsky, B. J.: High-Resolution Rainfall Estimation from X-Band Polarimetric Radar Measurements, J. Hydrometeorol., 5, 110–128, https://doi.org/10.1175/1525-7541(2004)005<0110:HREFXP>2.0.CO;2, 2004. 5. Atencia, A., Mediero, L., Llasat, M. C., and Garrote, L.: Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model, Hydrol. Earth Syst. Sci., 15, 3809–3827, https://doi.org/10.5194/hess-15-3809-2011, 2011.
Cited by
126 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|