An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony

An approach to combine gauge and radar data and additional quality information is presented. The development was focused on the improvement of the diagnostic for temporal (one hour) and spatial (1×1 km<sup>2</sup>) highly resolved precipitation data. The met...

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Main Authors: N. Jatho, T. Pluntke, C. Kurbjuhn, C. Bernhofer
Format: Article
Language:English
Published: Copernicus Publications 2010-03-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/10/429/2010/nhess-10-429-2010.pdf
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spelling doaj-0bfd6a5798d64765a90bd4aff55900912020-11-24T23:12:12ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812010-03-01103429446An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of SaxonyN. JathoT. PluntkeC. KurbjuhnC. BernhoferAn approach to combine gauge and radar data and additional quality information is presented. The development was focused on the improvement of the diagnostic for temporal (one hour) and spatial (1×1 km<sup>2</sup>) highly resolved precipitation data. The method is embedded in an online tool and was applied to the target area Saxony, Germany. The aim of the tool is to provide accurate spatial rainfall estimates. The results can be used for rainfall run-off modelling, e.g. in a flood management system. <br><br> Quality information allows a better assessment of the input data and the resulting precipitation field. They are stored in corresponding fields and represent the static and dynamic uncertainties of radar and gauge data. Objective combination of various precipitation and quality fields is realised using a cost function. <br><br> The findings of cross validation reveal that the proposed combination method merged the benefits and disadvantages of interpolated gauge and radar data and leads to mean estimates. The sampling point validation implies that the presented method slightly overestimated the areal rain as well as the high rain intensities in case of convective and advective events, while the results of pure interpolation method performed better. In general, the use of presented cost function avoids false rainfall amount in areas of low input data quality and improves the reliability in areas of high data quality. It is obvious that the combined product includes the small-scale variability of radar, which is seen as the important benefit of the presented combination approach. Local improvements of the final rain field are possible due to consideration of gauges that were not used for radar calibration, e.g. in topographic distinct regions. http://www.nat-hazards-earth-syst-sci.net/10/429/2010/nhess-10-429-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author N. Jatho
T. Pluntke
C. Kurbjuhn
C. Bernhofer
spellingShingle N. Jatho
T. Pluntke
C. Kurbjuhn
C. Bernhofer
An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony
Natural Hazards and Earth System Sciences
author_facet N. Jatho
T. Pluntke
C. Kurbjuhn
C. Bernhofer
author_sort N. Jatho
title An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony
title_short An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony
title_full An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony
title_fullStr An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony
title_full_unstemmed An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony
title_sort approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of saxony
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2010-03-01
description An approach to combine gauge and radar data and additional quality information is presented. The development was focused on the improvement of the diagnostic for temporal (one hour) and spatial (1×1 km<sup>2</sup>) highly resolved precipitation data. The method is embedded in an online tool and was applied to the target area Saxony, Germany. The aim of the tool is to provide accurate spatial rainfall estimates. The results can be used for rainfall run-off modelling, e.g. in a flood management system. <br><br> Quality information allows a better assessment of the input data and the resulting precipitation field. They are stored in corresponding fields and represent the static and dynamic uncertainties of radar and gauge data. Objective combination of various precipitation and quality fields is realised using a cost function. <br><br> The findings of cross validation reveal that the proposed combination method merged the benefits and disadvantages of interpolated gauge and radar data and leads to mean estimates. The sampling point validation implies that the presented method slightly overestimated the areal rain as well as the high rain intensities in case of convective and advective events, while the results of pure interpolation method performed better. In general, the use of presented cost function avoids false rainfall amount in areas of low input data quality and improves the reliability in areas of high data quality. It is obvious that the combined product includes the small-scale variability of radar, which is seen as the important benefit of the presented combination approach. Local improvements of the final rain field are possible due to consideration of gauges that were not used for radar calibration, e.g. in topographic distinct regions.
url http://www.nat-hazards-earth-syst-sci.net/10/429/2010/nhess-10-429-2010.pdf
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