| Stochastic reconstruction and interpolation of precipitation fields using combined information of commercial microwave links and rain gauges B Haese, S Hörning, C Chwala, A Bárdossy, B Schalge, H Kunstmann Water Resources Research 53 (12), 10740-10756, 2017 | 40 | 2017 |
| Gaussian and non‐Gaussian inverse modeling of groundwater flow using copulas and random mixing A Bárdossy, S Hörning Water Resources Research 52 (6), 4504-4526, 2016 | 32 | 2016 |
| Random mixing: An approach to inverse modeling for groundwater flow and transport problems A Bárdossy, S Hörning Transport in Porous Media 114, 241-259, 2016 | 22 | 2016 |
| Process-oriented modeling of spatial random fields using copulas S Hörning Stuttgart: Eigenverlag des Instituts für Wasser-und Umweltsystemmodellierung …, 2016 | 22 | 2016 |
| Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling J Grundmann, S Hörning, A Bárdossy Hydrology and Earth System Sciences 23 (1), 225-237, 2019 | 16 | 2019 |
| Process-driven direction-dependent asymmetry: identification and quantification of directional dependence in spatial fields A Bárdossy, S Hörning Mathematical Geosciences 49 (7), 871-891, 2017 | 15 | 2017 |
| Computational efficient inverse groundwater modeling using Random Mixing and Whittaker–Shannon interpolation S Hörning, J Sreekanth, A Bárdossy Advances in water resources 123, 109-119, 2019 | 14 | 2019 |
| Phase annealing for the conditional simulation of spatial random fields S Hörning, A Bárdossy Computers & geosciences 112, 101-111, 2018 | 13 | 2018 |
| RMWSPy (v 1.1): A Python code for spatial simulation and inversion for environmental applications S Hörning, B Haese Environmental Modelling & Software 138, 104970, 2021 | 12 | 2021 |
| Conditional simulation of surface rainfall fields using modified phase annealing J Yan, A Bárdossy, S Hörning, T Tao Hydrology and Earth System Sciences 24 (5), 2287-2301, 2020 | 8 | 2020 |
| Geostatistical electrical resistivity tomography using random mixing S Hoerning, L Gross, A Bárdossy Journal of Applied Geophysics 176, 104015, 2020 | 8 | 2020 |
| Effects of geological heterogeneity on gas mixing during underground hydrogen storage (UHS) in braided-fluvial reservoirs Z Bo, S Hörning, JR Underschultz, A Garnett, S Hurter Fuel 357, 129949, 2024 | 4 | 2024 |
| Combining commercial microwave link and rain gauge observations to estimate countrywide precipitation: A stochastic reconstruction and pattern analysis approach N Blettner, C Chwala, B Haese, S Hörning, H Kunstmann Water Resources Research 58 (10), e2022WR032563, 2022 | 3 | 2022 |
| Full waveform inversion using Random Mixing A Chang, L Gross, S Hörning Computers & Geosciences 161, 105041, 2022 | 2 | 2022 |
| Interpolating Non-Parametric Distributions of Hourly Rainfall Intensities Using Random Mixing T Mosthaf, A Bárdossy, S Hörning EGU General Assembly Conference Abstracts, 1343, 2015 | 2 | 2015 |
| Hydrology and Earth System Sciences J Yan, A Bárdossy, S Hörning, T Tao | 2 | 1998 |
| Definition of Spatial Copula Based Dependence Using a Family of Non‐Gaussian Spatial Random Fields A Bárdossy, S Hörning Water Resources Research 59 (7), e2023WR034446, 2023 | 1 | 2023 |
| How to qualify and quantify directional dependencies in spatial random fields: Direction-dependent asymmetry S Hörning, A Bárdossy EGU General Assembly Conference Abstracts, EPSC2016-5481, 2016 | 1 | 2016 |
| Simulation of Conditional Spatial Fields Using Random Mixing S Hörning, A Bardossy, S Tyson Petroleum Geostatistics 2015, cp-456-00016, 2015 | 1 | 2015 |
| Inverse Groundwater Flow Modelling via Conditional Simulation S Hörning, A Bardossy AGU Fall Meeting Abstracts 2014, H44E-04, 2014 | 1 | 2014 |
Bardossy AndrasUniversität StuttgartVerified email at iws.uni-stuttgart.de
