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

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dc.identifier.uri http://dx.doi.org/10.15488/522
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/546
dc.contributor.author Rabiei, Ehsan
dc.contributor.author Haberlandt, Uwe
dc.contributor.author Sester, Monika
dc.contributor.author Fitzner, Daniel
dc.contributor.author Wallner, Markus
dc.date.accessioned 2016-09-12T13:13:49Z
dc.date.available 2016-09-12T13:13:49Z
dc.date.issued 2016
dc.identifier.citation Rabiei, E.; Haberlandt, U.; Sester, M.; Fitzner, D.; Wallner, M.: Areal rainfall estimation using moving cars - computer experiments including hydrological modeling. In: Hydrology and Earth System Sciences Discussions (2016), S. 1-38. DOI: http://dx.doi.org/10.5194/hess-2016-17
dc.description.abstract 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 been 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 rainfall amounts. 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. The results show that the RCs considering measurement errors derived from laboratory experiments provide useful additional information for areal rainfall estimation as well as for hydrological modeling. Even assuming higher uncertainties for RCs as obtained from the laboratory up to a certain level is observed practical. eng
dc.description.sponsorship DFG/3504/5-2
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartofseries Hydrology and Earth System Sciences Discussions (2016)
dc.rights CC BY 3.0
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject geophysics eng
dc.subject hydrology eng
dc.subject moving cars eng
dc.subject rain eng
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau ger
dc.title Areal rainfall estimation using moving cars - computer experiments including hydrological modeling
dc.type article
dc.type Text
dc.relation.essn 1607-7938
dc.relation.doi http://dx.doi.org/10.5194/hess-2016-17
dc.bibliographicCitation.firstPage 1
dc.bibliographicCitation.lastPage 38
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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