A rainfall data intercomparison dataset of RADKLIM, RADOLAN, and rain gauge data for Germany

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dc.identifier.uri http://dx.doi.org/10.15488/8618
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/8671
dc.contributor.author Kreklow, Jennifer
dc.contributor.author Tetzlaff, Björn
dc.contributor.author Kuhnt, Gerald
dc.contributor.author Burkhard, Benjamin
dc.date.accessioned 2019-12-09T12:32:26Z
dc.date.available 2019-12-09T12:32:26Z
dc.date.issued 2019
dc.identifier.citation Kreklow, J.; Tetzlaff, B.; Kuhnt, G.; Burkhard, B.: A rainfall data intercomparison dataset of RADKLIM, RADOLAN, and rain gauge data for Germany. In: Data 4 (2019), Nr. 3, 118. DOI: https://doi.org/10.3390/data4030118
dc.description.abstract Quantitative precipitation estimates (QPE) derived from weather radars provide spatially and temporally highly resolved rainfall data. However, they are also subject to systematic and random bias and various potential uncertainties and therefore require thorough quality checks before usage. The dataset described in this paper is a collection of precipitation statistics calculated from the hourly nationwide German RADKLIM and RADOLAN QPEs provided by the German Weather Service (Deutscher Wetterdienst (DWD)), which were combined with rainfall statistics derived from rain gauge data for intercomparison. Moreover, additional information on parameters that can potentially influence radar data quality, such as the height above sea level, information on wind energy plants and the distance to the next radar station, were included in the dataset. The resulting two point shapefiles are readable with all common GIS and constitutes a spatially highly resolved rainfall statistics geodataset for the period 2006 to 2017, which can be used for statistical rainfall analyses or for the derivation of model inputs. Furthermore, the publication of this data collection has the potential to benefit other users who intend to use precipitation data for any purpose in Germany and to identify the rainfall dataset that is best suited for their application by a straightforward comparison of three rainfall datasets without any tedious data processing and georeferencing. eng
dc.language.iso eng
dc.publisher Basel : Molecular Diversity Preservation International (MDPI)
dc.relation.ispartofseries Data 4 (2019), Nr. 3
dc.rights CC BY-SA 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-sa/4.0/
dc.subject Quantitative precipitation estimates eng
dc.subject rainfall data eng
dc.subject wind energy plants eng
dc.subject.ddc 551 | Geologie, Hydrologie, Meteorologie ger
dc.title A rainfall data intercomparison dataset of RADKLIM, RADOLAN, and rain gauge data for Germany eng
dc.type article
dc.type Text
dc.relation.essn 2306-5729
dc.relation.doi https://doi.org/10.3390/data4030118
dc.bibliographicCitation.issue 3
dc.bibliographicCitation.volume 4
dc.bibliographicCitation.firstPage 118
dc.description.version publishedVersion
tib.accessRights frei zug�nglich

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