Areal rainfall estimation using moving cars – computer experiments including hydrological modeling

The need for high temporal and spatial resolution precipitation data for hydrological analyses has been discussed in several studies. Although rain gauges provide valuable information, a very dense rain gauge network is costly. As a result, several new ideas have emerged to help estimating areal rai...

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Main Authors: E. Rabiei, U. Haberlandt, M. Sester, D. Fitzner, M. Wallner
Format: Article
Language:English
Published: Copernicus Publications 2016-09-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/20/3907/2016/hess-20-3907-2016.pdf
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author E. Rabiei
U. Haberlandt
M. Sester
D. Fitzner
M. Wallner
author_facet E. Rabiei
U. Haberlandt
M. Sester
D. Fitzner
M. Wallner
author_sort E. Rabiei
collection DOAJ
description The need for high temporal and spatial resolution precipitation data for hydrological analyses has been discussed in several studies. Although rain gauges provide valuable information, a very dense rain gauge network is costly. As a result, several new ideas have emerged to help estimating areal rainfall with higher temporal and spatial resolution. Rabiei et al. (2013) observed that moving cars, called RainCars (RCs), can potentially be a new source of data for measuring rain rate. The optical sensors used in that study are designed for operating the windscreen wipers and showed promising results for rainfall measurement purposes. Their measurement accuracy has been quantified in laboratory experiments. Considering explicitly those errors, the main objective of this study is to investigate the benefit of using RCs for estimating areal rainfall. For that, computer experiments are carried out, where radar rainfall is considered as the reference and the other sources of data, i.e., RCs and rain gauges, are extracted from radar data. Comparing the quality of areal rainfall estimation by RCs with rain gauges and reference data helps to investigate the benefit of the RCs. The value of this additional source of data is not only assessed for areal rainfall estimation performance but also for use in hydrological modeling. Considering measurement errors derived from laboratory experiments, the result shows that the RCs provide useful additional information for areal rainfall estimation as well as for hydrological modeling. Moreover, by testing larger uncertainties for RCs, they observed to be useful up to a certain level for areal rainfall estimation and discharge simulation.
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spelling doaj.art-b5c29970f8024c3f96c62845c816fb072022-12-21T18:25:01ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382016-09-012093907392210.5194/hess-20-3907-2016Areal rainfall estimation using moving cars – computer experiments including hydrological modelingE. Rabiei0U. Haberlandt1M. Sester2D. Fitzner3M. Wallner4Institute of Water Resources Management, Hydrology and Agricultural Hydraulic Engineering, Leibniz University of Hanover, 30167 Hanover, GermanyInstitute of Cartography and Geoinformatics, Leibniz University of Hanover, Hanover, GermanyInstitute of Cartography and Geoinformatics, Leibniz University of Hanover, Hanover, GermanyInstitute of Cartography and Geoinformatics, Leibniz University of Hanover, Hanover, GermanyFederal Institute for Geosciences and Natural Resources, Groundwater Resources – Quality and Dynamics, 30655 Hanover, GermanyThe need for high temporal and spatial resolution precipitation data for hydrological analyses has been discussed in several studies. Although rain gauges provide valuable information, a very dense rain gauge network is costly. As a result, several new ideas have emerged to help estimating areal rainfall with higher temporal and spatial resolution. Rabiei et al. (2013) observed that moving cars, called RainCars (RCs), can potentially be a new source of data for measuring rain rate. The optical sensors used in that study are designed for operating the windscreen wipers and showed promising results for rainfall measurement purposes. Their measurement accuracy has been quantified in laboratory experiments. Considering explicitly those errors, the main objective of this study is to investigate the benefit of using RCs for estimating areal rainfall. For that, computer experiments are carried out, where radar rainfall is considered as the reference and the other sources of data, i.e., RCs and rain gauges, are extracted from radar data. Comparing the quality of areal rainfall estimation by RCs with rain gauges and reference data helps to investigate the benefit of the RCs. The value of this additional source of data is not only assessed for areal rainfall estimation performance but also for use in hydrological modeling. Considering measurement errors derived from laboratory experiments, the result shows that the RCs provide useful additional information for areal rainfall estimation as well as for hydrological modeling. Moreover, by testing larger uncertainties for RCs, they observed to be useful up to a certain level for areal rainfall estimation and discharge simulation.http://www.hydrol-earth-syst-sci.net/20/3907/2016/hess-20-3907-2016.pdf
spellingShingle E. Rabiei
U. Haberlandt
M. Sester
D. Fitzner
M. Wallner
Areal rainfall estimation using moving cars – computer experiments including hydrological modeling
Hydrology and Earth System Sciences
title Areal rainfall estimation using moving cars – computer experiments including hydrological modeling
title_full Areal rainfall estimation using moving cars – computer experiments including hydrological modeling
title_fullStr Areal rainfall estimation using moving cars – computer experiments including hydrological modeling
title_full_unstemmed Areal rainfall estimation using moving cars – computer experiments including hydrological modeling
title_short Areal rainfall estimation using moving cars – computer experiments including hydrological modeling
title_sort areal rainfall estimation using moving cars ndash computer experiments including hydrological modeling
url http://www.hydrol-earth-syst-sci.net/20/3907/2016/hess-20-3907-2016.pdf
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