Sebastian Hörning
Sebastian Hörning
The University of Queensland, Centre for Natural Gas
Verified email at uq.edu.au
Title
Cited by
Cited by
Year
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
172016
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
142017
Process-oriented modeling of spatial random fields using copulas
S Hörning
Stuttgart: Eigenverlag des Instituts für Wasser-und Umweltsystemmodellierung …, 2016
102016
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
92017
Random mixing: An approach to inverse modeling for groundwater flow and transport problems
A Bárdossy, S Hörning
Transport in Porous Media 114 (2), 241-259, 2016
82016
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
52019
Phase annealing for the conditional simulation of spatial random fields
S Hörning, A Bárdossy
Computers & Geosciences 112, 101-111, 2018
42018
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
32019
Interpolating Non-Parametric Distributions of Hourly Rainfall Intensities Using Random Mixing
T Mosthaf, A Bárdossy, S Hörning
EGUGA, 1343, 2015
22015
How to qualify and quantify directional dependencies in spatial random fields: Direction-dependent asymmetry
S Hörning, A Bárdossy
EGUGA, EPSC2016-5481, 2016
12016
Simulation of Conditional Spatial Fields Using Random Mixing
S Hörning, A Bardossy, S Tyson
Petroleum Geostatistics 2015, cp-456-00016, 2015
12015
Inverse Groundwater Flow Modelling via Conditional Simulation
S HöRning, A BáRdossy
AGUFM 2014, H44E-04, 2014
12014
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
2020
Using Commercial Microwave Links for a stochastic reconstruction of precipitation field ensembles
B Haese, S Hörning, M Graf, A Eshel, C Chwala, H Kunstmann
EGU General Assembly Conference Abstracts, 9080, 2020
2020
Geostatistical electrical resistivity tomography using random mixing
S Hoerning, L Gross, A Bárdossy
Journal of Applied Geophysics, 104015, 2020
2020
Stochastic reconstruction of precipitation fields for Germany using information from a country-wide network of Commercial Microwave Links.
B Haese, S Hörning, C Chwala, M Graf, A Bárdossy, H Kunstmann
Geophysical Research Abstracts 21, 2019
2019
Stochastic reconstruction 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
EGUGA, 17229, 2018
2018
Computational efficient inverse groundwater modeling using Random Mixing and Whittaker-Shannon interpolation with application for the Lockyer Valley in Queensland (Australia)
S Hoerning, S Janardhanan, A Bardossy
EGUGA, 10467, 2018
2018
Minimization of required model runs in the Random Mixing approach to inverse groundwater flow and transport modeling
S Hoerning, A Bardossy, J du Plessis
EGUGA, 15857, 2017
2017
Statistical simulation of ensembles of precipitation fields for data assimilation applications
B Haese, S Hörning, C Chwala, A Bárdossy, B Schalge, H Kunstmann
EGUGA, 18938, 2017
2017
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