Open AccessApplicability of satellite‐based rainfall algorithms for estimating flood‐related rainfall events in the mid‐latitudes. Part II : temporal integration
Author(s) -
Görner C.,
Kronenberg R.,
Bernhofer C.
Publication year - 2012
Publication title -
journal of flood risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.049
H-Index - 36
ISSN - 1753-318X
DOI - 10.1111/j.1753-318x.2012.01138.x
Subject(s) - satellite , environmental science , flood myth , flash flood , rain gauge , meteorology , radar , time delay and integration , latitude , middle latitudes , climatology , precipitation , computer science , geology , geography , geodesy , telecommunications , archaeology , aerospace engineering , engineering , computer vision
In a continuation of Part I on spatial integration, this paper presents research on the applicability of four satellite‐based rainfall algorithms to derive hourly rain intensities in the mid‐latitudes using highly resolved data from the first M eteosat S econd G eneration ( MSG ‐1) satellite. It focuses on the suitability of these algorithms to detect and monitor (flash) flood‐related rain intensities for different temporal resolutions. The temporal integration is examined using six different integration steps ranging from 1 h to 24 h and three different data‐filtering methods. The effects of this temporal integration on the quality of satellite‐based rain intensities (amounts and locations) are examined with regard to heavy and possible flood‐triggering rain intensities. Also, loss of temporal information and possible applications for flood risk management are considered. For this purpose, S axony ( G ermany) is used as an example, and 9 high‐rainfall days between M ay and A ugust 2006 were analysed by comparing satellite rain intensities to rain gauge‐adjusted radar data. The results show that temporal integration leads to improvements in evaluation scores, especially for heavy rain intensities, by up to +62%. However, this integration leads to a decreased applicability for the detection of high‐intensity rainfall events because they tend to be short in duration.