Data set: Different drought types and the spatial variability in their hazard, impact, and propagation characteristics

Autor: Tijdeman, Erik, Blauhut, Veit, Stoelzle, Michael, Menzel, Lucas, Stahl, Kerstin
Jazyk: angličtina
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.6449933
Popis: Data used in the manuscript different drought types and the spatial variability in their hazard, impact, and propagation characteristics. Authors: Tijdeman, E., Blauhut, V., Stoelzle, M., Menzel, L., and Stahl, K. Contact: erik.tijdeman@uni-heidelberg.de Last modified: 09-04-2022 The dataset contains monthly and annual drought hazard information (percentiles) of different variables. The data and methods used to derive the drought hazard information are described in Tijdeman et al. (2022). File description: All data is in one ".csv" file with columns separated by a ";". The structure of the file is: - Column 1,2: Location (x,y) in Gauss-Kruger zone 3 (EPSG:31467) coordinate system. * For grid cells (x,y) refers to the center of the grid cell * For catchments (x,y) refers to the center of the catchment * For groundwater (x,y) refers to the well location - Column 3: NUTS-2 region ID. * 11 = Stuttgart * 12 = Karlsruhe * 13 = Freiburg * 14 = Tubingen. - Column 4: variable. * P1 = Monthly precipitation * P3 = Monthly precipitation aggregated over a 3-month moving window * P12 = Monthly precipitation aggregated over a 12-month moving window * SM = Monthly average soil moisture * T1 = Monthly average temperature * T12 = Annual average temperature for a static window. For consitancy with other data sources, T12 is provided for each month as the same value for all months in certain year. * Q = Monthly average streamflow * GW = Monthly average Groundwater. - Column 5-364: Monthly percentile time series of all variables (column 4) at all locations (column 1,2) between 1990-2019. The column names indicate the month and year (MM-YYYY). Reference: Tijdeman, E., Blauhut, V., Stoelzle, M., Menzel, L., and Stahl, K.: Different drought types and the spatial variability in their hazard, impact, and propagation characteristics, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2021-328, in review, 2021.
This work contributes to the DRIeR project supported by the Wassernetzwerk Baden-Württemberg (Water Research Network), which is funded by the Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (Ministry of Science, Research, and the Arts of the State Baden-Württemberg) (grant no. AZ. 7532.21/2.1.6). We further acknowledge the DWD and LUBW for providing data. Financial support of the German Research Foundation (DFG) for SDS@hd - Scientific Data Storage is acknowledged. All analyses were carried out with the open-source software R (https://www.r-project.org/).
Databáze: OpenAIRE