Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales
Study region: The study region is Germany and two sub-regions in Germany, i.e. the state of Rhineland-Palatinate and the city of Reutlingen.Study focus: Opportunistic rainfall sensors, namely personal weather stations and commercial microwave links, together with rain gauge data from the German Weat...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-10-01
|
| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581821001129 |
| _version_ | 1818729300779597824 |
|---|---|
| author | Maximilian Graf Abbas El Hachem Micha Eisele Jochen Seidel Christian Chwala Harald Kunstmann András Bárdossy |
| author_facet | Maximilian Graf Abbas El Hachem Micha Eisele Jochen Seidel Christian Chwala Harald Kunstmann András Bárdossy |
| author_sort | Maximilian Graf |
| collection | DOAJ |
| description | Study region: The study region is Germany and two sub-regions in Germany, i.e. the state of Rhineland-Palatinate and the city of Reutlingen.Study focus: Opportunistic rainfall sensors, namely personal weather stations and commercial microwave links, together with rain gauge data from the German Weather Service, were used in different combinations to derive rainfall maps with a geostatistical interpolation framework for Germany. This kriging type framework considered the uncertainty of opportunistic sensors and the line structure of commercial microwave links. The resulting rainfall maps were compared to two gauge-adjusted radar products and evaluated to three reference gauge datasets in the respective study regions on both daily and hourly basis.New Hydrological Insights for the Region: The interpolated rainfall products from opportunistic sensors provided good agreement to the reference rain gauges. The dataset combinations including information from the opportunistic sensors performed best. The addition of rain gauges from the German Weather Service did not consistently lead to an improvement of the interpolated rainfall maps. On the country-wide, daily scale the interpolated rainfall maps performed well, but the gauge-adjusted radar products were closer to the reference. For the regional and local scale in Rhineland-Palatinate and Reutlingen with an hourly resolution, the interpolated rainfall maps outperformed the interpolated product from DWD rain gauges and showed a similar agreement to the reference as the radar products. |
| first_indexed | 2024-12-17T22:43:42Z |
| format | Article |
| id | doaj.art-03d3a2ee79064bad9ed48e74659eb9b6 |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-12-17T22:43:42Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-03d3a2ee79064bad9ed48e74659eb9b62022-12-21T21:29:51ZengElsevierJournal of Hydrology: Regional Studies2214-58182021-10-0137100883Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scalesMaximilian Graf0Abbas El Hachem1Micha Eisele2Jochen Seidel3Christian Chwala4Harald Kunstmann5András Bárdossy6Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany; Institute of Geography, University of Augsburg, Augsburg, Germany; Corresponding author.Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, Stuttgart, GermanyInstitute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, Stuttgart, GermanyInstitute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, Stuttgart, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany; Institute of Geography, University of Augsburg, Augsburg, GermanyInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany; Institute of Geography, University of Augsburg, Augsburg, GermanyInstitute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, Stuttgart, GermanyStudy region: The study region is Germany and two sub-regions in Germany, i.e. the state of Rhineland-Palatinate and the city of Reutlingen.Study focus: Opportunistic rainfall sensors, namely personal weather stations and commercial microwave links, together with rain gauge data from the German Weather Service, were used in different combinations to derive rainfall maps with a geostatistical interpolation framework for Germany. This kriging type framework considered the uncertainty of opportunistic sensors and the line structure of commercial microwave links. The resulting rainfall maps were compared to two gauge-adjusted radar products and evaluated to three reference gauge datasets in the respective study regions on both daily and hourly basis.New Hydrological Insights for the Region: The interpolated rainfall products from opportunistic sensors provided good agreement to the reference rain gauges. The dataset combinations including information from the opportunistic sensors performed best. The addition of rain gauges from the German Weather Service did not consistently lead to an improvement of the interpolated rainfall maps. On the country-wide, daily scale the interpolated rainfall maps performed well, but the gauge-adjusted radar products were closer to the reference. For the regional and local scale in Rhineland-Palatinate and Reutlingen with an hourly resolution, the interpolated rainfall maps outperformed the interpolated product from DWD rain gauges and showed a similar agreement to the reference as the radar products.http://www.sciencedirect.com/science/article/pii/S2214581821001129Rainfall mappingOpportunistic sensingPersonal weather stationsCommercial microwave links |
| spellingShingle | Maximilian Graf Abbas El Hachem Micha Eisele Jochen Seidel Christian Chwala Harald Kunstmann András Bárdossy Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales Journal of Hydrology: Regional Studies Rainfall mapping Opportunistic sensing Personal weather stations Commercial microwave links |
| title | Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales |
| title_full | Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales |
| title_fullStr | Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales |
| title_full_unstemmed | Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales |
| title_short | Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales |
| title_sort | rainfall estimates from opportunistic sensors in germany across spatio temporal scales |
| topic | Rainfall mapping Opportunistic sensing Personal weather stations Commercial microwave links |
| url | http://www.sciencedirect.com/science/article/pii/S2214581821001129 |
| work_keys_str_mv | AT maximiliangraf rainfallestimatesfromopportunisticsensorsingermanyacrossspatiotemporalscales AT abbaselhachem rainfallestimatesfromopportunisticsensorsingermanyacrossspatiotemporalscales AT michaeisele rainfallestimatesfromopportunisticsensorsingermanyacrossspatiotemporalscales AT jochenseidel rainfallestimatesfromopportunisticsensorsingermanyacrossspatiotemporalscales AT christianchwala rainfallestimatesfromopportunisticsensorsingermanyacrossspatiotemporalscales AT haraldkunstmann rainfallestimatesfromopportunisticsensorsingermanyacrossspatiotemporalscales AT andrasbardossy rainfallestimatesfromopportunisticsensorsingermanyacrossspatiotemporalscales |