High-resolution climate datasets in hydrological impact studies: Assessing their value in alpine and pre-alpine catchments in southeastern Austria

被引:2
作者
Pessenteiner, Stefanie [1 ]
Hohmann, Clara [2 ,3 ]
Kirchengast, Gottfried [2 ,3 ,4 ]
Schoener, Wolfgang [1 ]
机构
[1] Karl Franzens Univ Graz, Dept Geog & Reg Sci, Heinrichstr 36, A-8010 Graz, Austria
[2] Karl Franzens Univ Graz, Wegener Ctr Climate & Global Change WEGC, Brandhofgasse 5, A-8010 Graz, Austria
[3] Karl Franzens Univ Graz, FWF DK Climate Change, Glacisstr 27-1, A-8010 Graz, Austria
[4] Karl Franzens Univ Graz, Inst Phys, Inst Geophys Astrophys & Meteorol, Univ Pl 5, A-8010 Graz, Austria
基金
奥地利科学基金会;
关键词
OKS15; Climate datasets; Bias correction; Hydrological impacts; Hydrological modeling; BIAS CORRECTION; EURO-CORDEX; MODEL; SIMULATIONS; UNCERTAINTY; PROJECTIONS; SENSITIVITY; ENSEMBLE; RUNOFF; FLOODS;
D O I
10.1016/j.ejrh.2021.100962
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: Catchments: Wo spacing diaeresis lzerbach, Raab; Styria; Austria. Study focus: The study was carried out to investigate the fitness for purpose of the high-resolution Austrian National Climate datasets (spacing diaeresis OKS15) in hydrological applications. Provided as a standard for climate impact studies in Austria in 2016, the potential of the spacing diaeresis OKS15 data for hydrological impact studies has not previously been assessed. To fill this research gap, we evaluated the spacing diaeresis OKS15 datasets for the recent climate period (1961-2005) to determine their suitability for hydrological analyses. Hydro-meteorological indicators of the spacing diaeresis OKS15 datasets, as well as of the data used to obtain them by bias correcting and downscaling the EURO-CORDEX models, were assessed at different spatio-temporal scales and compared to the raw EURO-CORDEX data. The hydrological model WaSiM was driven with the different datasets to generate the hydrological simulations used for validation against long-term observations. New hydrological insights for the region: Hydro-meteorological indicators obtained from spacing diaeresis OKS15 models are comparable to observations and associated with less uncertainty than the raw EURO-CORDEX data. We thus consider the spacing diaeresis OKS15 dataset basically appropriate for hydrological impact studies. However, despite bias correction, some biases in the spacing diaeresis OKS15 data remain and differences in timing, magnitude and spatial characteristics lead to deviations in hydrological indicators at different scales.
引用
收藏
页数:26
相关论文
共 65 条
[51]   Convection-permitting regional climate simulations for representing floods in small- and medium-sized catchments in the Eastern Alps [J].
Reszler, Christian ;
Switanek, Matthew Blaise ;
Truhetz, Heimo .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2018, 18 (10) :2653-2674
[52]   A methodology to estimate flow duration curves at partially ungauged basins [J].
Ridolfi, Elena ;
Kumar, Hemendra ;
Bardossy, Andras .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2020, 24 (04) :2043-2060
[53]   Evaluating the added value of the new Swiss climate scenarios for hydrology: An example from the Thur catchment [J].
Rossler, Ole ;
Kotlarski, Sven ;
Fischer, Andreas M. ;
Keller, Denise ;
Liniger, Mark ;
Weingartner, Rolf .
CLIMATE SERVICES, 2019, 13 :1-13
[54]  
Schulla J., 2017, MODEL DECRIPTION WAS
[55]   A comprehensive sensitivity and uncertainty analysis for discharge and nitrate-nitrogen loads involving multiple discrete model inputs under future changing conditions [J].
Schurz, Christoph ;
Hollosi, Brigitta ;
Matulla, Christoph ;
Pressl, Alexander ;
Ertl, Thomas ;
Schulz, Karsten ;
Mehdi, Bano .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2019, 23 (03) :1211-1244
[56]   Time scale interactions and the coevolution of humans and water [J].
Sivapalan, Murugesu ;
Bloeschl, Guenter .
WATER RESOURCES RESEARCH, 2015, 51 (09) :6988-7022
[57]   Simulating Future Runoff in a Complex Terrain Alpine Catchment with EURO-CORDEX Data [J].
Smiatek, Gerhard ;
Kunstmann, Harald .
JOURNAL OF HYDROMETEOROLOGY, 2019, 20 (09) :1925-1940
[58]   Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes [J].
Switanek, Matthew B. ;
Troch, Peter A. ;
Castro, Christopher L. ;
Leuprecht, Armin ;
Chang, Hsin-I ;
Mukherjee, Rajarshi ;
Demaria, Eleonora M. C. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (06) :2649-2666
[59]   Regional Climate Models for Hydrological Impact Studies at the Catchment Scale: A Review of Recent Modeling Strategies [J].
Teutschbein, Claudia ;
Seibert, Jan .
GEOGRAPHY COMPASS, 2010, 4 (07) :834-860
[60]   Comparing snow models under current and future climates: Uncertainties and implications for hydrological impact studies [J].
Troin, Magali ;
Poulin, Annie ;
Baraer, Michel ;
Brissette, Francois .
JOURNAL OF HYDROLOGY, 2016, 540 :588-602