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2025 Journal Article Insights into site evaluation for underground hydrogen storage (UHS) on gas mixing-the effects of meter-scale heterogeneity and associated reservoir characterization parametersBo, Zhenkai, Hörning, Sebastian, Tang, Kunning, Underschultz, Jim R. and Hurter, Suzanne (2025). Insights into site evaluation for underground hydrogen storage (UHS) on gas mixing-the effects of meter-scale heterogeneity and associated reservoir characterization parameters. Fuel, 391 134677, 134677. doi: 10.1016/j.fuel.2025.134677 |
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2025 Journal Article Efficient computation on large regular grids of higher-order spatial statistics via fast Fourier transformLauzon, Dany and Hörning, Sebastian (2025). Efficient computation on large regular grids of higher-order spatial statistics via fast Fourier transform. Computers & Geosciences, 198 105878, 105878-198. doi: 10.1016/j.cageo.2025.105878 |
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2024 Journal Article Simulation of conditional non-Gaussian random fields with directional asymmetryHörning, Sebastian and Bárdossy, András (2024). Simulation of conditional non-Gaussian random fields with directional asymmetry. Spatial Statistics, 65 100872, 100872. doi: 10.1016/j.spasta.2024.100872 |
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2024 Journal Article Effects of geological heterogeneity on gas mixing during underground hydrogen storage (UHS) in braided-fluvial reservoirsBo, Zhenkai, Hörning, Sebastian, Underschultz, Jim R., Garnett, Andrew and Hurter, Suzanne (2024). Effects of geological heterogeneity on gas mixing during underground hydrogen storage (UHS) in braided-fluvial reservoirs. Fuel, 357 129949, 1-18. doi: 10.1016/j.fuel.2023.129949 |
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2023 Journal Article Definition of spatial copula based dependence using a family of non‐Gaussian spatial random fieldsBárdossy, András and Hörning, Sebastian (2023). Definition of spatial copula based dependence using a family of non‐Gaussian spatial random fields. Water Resources Research, 59 (7) e2023WR034446. doi: 10.1029/2023wr034446 |
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2022 Journal Article Combining commercial microwave link and rain gauge observations to estimate countrywide precipitation: A stochastic reconstruction and pattern analysis approachBlettner, Nico, Chwala, Christian, Haese, Barbara, Hörning, Sebastian and Kunstmann, Harald (2022). Combining commercial microwave link and rain gauge observations to estimate countrywide precipitation: A stochastic reconstruction and pattern analysis approach. Water Resources Research, 58 (10) e2022WR032563, 1-16. doi: 10.1029/2022wr032563 |
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2022 Journal Article Full waveform inversion using Random MixingChang, A., Gross, L. and Hörning, S. (2022). Full waveform inversion using Random Mixing. Computers and Geosciences, 161 105041, 105041. doi: 10.1016/j.cageo.2022.105041 |
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2021 Journal Article RMWSPy (v 1.1): A Python code for spatial simulation and inversion for environmental applicationsHörning, Sebastian and Haese, Barbara (2021). RMWSPy (v 1.1): A Python code for spatial simulation and inversion for environmental applications. Environmental Modelling and Software, 138 104970, 104970. doi: 10.1016/j.envsoft.2021.104970 |
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2020 Journal Article Conditional simulation of surface rainfall fields using modified phase annealingYan, Jieru, Bárdossy, András, Hörning, Sebastian and Tao, Tao (2020). Conditional simulation of surface rainfall fields using modified phase annealing. Hydrology and Earth System Sciences, 24 (5) 2020, 2287-2301. doi: 10.5194/hess-24-2287-2020 |
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2020 Journal Article Geostatistical electrical resistivity tomography using random mixingHörning, S., Gross, L. and Bárdossy, A. (2020). Geostatistical electrical resistivity tomography using random mixing. Journal of Applied Geophysics, 176 104015, 104015. doi: 10.1016/j.jappgeo.2020.104015 |
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2019 Journal Article Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modellingGrundmann, Jens, Hörning, Sebastian and Bárdossy, András (2019). Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling. Hydrology and Earth System Sciences, 23 (1), 225-237. doi: 10.5194/hess-23-225-2019 |
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2019 Journal Article Computational efficient inverse groundwater modeling using Random Mixing and Whittaker–Shannon interpolationHörning, S., Sreekanth, J. and Bárdossy, A. (2019). Computational efficient inverse groundwater modeling using Random Mixing and Whittaker–Shannon interpolation. Advances in Water Resources, 123, 109-119. doi: 10.1016/j.advwatres.2018.11.012 |
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2018 Journal Article Phase annealing for the conditional simulation of spatial random fieldsHörning, S. and Bardossy, A. (2018). Phase annealing for the conditional simulation of spatial random fields. Computers and Geosciences, 112, 101-111. doi: 10.1016/j.cageo.2017.12.008 |
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2017 Journal Article Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain GaugesHaese, B., Hörning, S., Chwala, C., Bardossy, A. and Kunstmann, H. (2017). Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges. Water Resources Research, 53 (12), 10740-10756. doi: 10.1002/2017WR021015 |
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2017 Journal Article Process-driven direction-dependent asymmetry: identification and quantification of directional dependence in spatial fieldsBárdossy, András and Hörning, Sebastian (2017). Process-driven direction-dependent asymmetry: identification and quantification of directional dependence in spatial fields. Mathematical Geosciences, 49 (7), 871-891. doi: 10.1007/s11004-017-9682-1 |
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2016 Journal Article Random mixing: an approach to inverse modeling for groundwater flow and transport problemsBardossy, Andras and Hoerning, Sebastian (2016). Random mixing: an approach to inverse modeling for groundwater flow and transport problems. Transport in Porous Media, 114 (2), 241-259. doi: 10.1007/s11242-015-0608-4 |
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2016 Journal Article Gaussian and non-Gaussian inverse modeling of groundwater flow using copulas and random mixingBárdossy, András and Hörning, Sebastian (2016). Gaussian and non-Gaussian inverse modeling of groundwater flow using copulas and random mixing. Water Resources Research, 52 (6), 4504-4526. doi: 10.1002/2014WR016820 |
