Sebastian Hörning
Sebastian Hörning
The University of Queensland, Centre for Natural Gas
Verified email at uq.edu.au
Title
Cited by
Cited by
Year
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
192017
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
192016
Process-oriented modeling of spatial random fields using copulas
S Hörning
Stuttgart: Eigenverlag des Instituts für Wasser-und Umweltsystemmodellierung …, 2016
112016
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
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
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
82019
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
52019
Phase annealing for the conditional simulation of spatial random fields
S Hörning, A Bárdossy
Computers & Geosciences 112, 101-111, 2018
52018
Interpolating Non-Parametric Distributions of Hourly Rainfall Intensities Using Random Mixing
T Mosthaf, A Bárdossy, S Hörning
EGU General Assembly Conference Abstracts, 1343, 2015
22015
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
12020
Geostatistical electrical resistivity tomography using random mixing
S Hoerning, L Gross, A Bárdossy
Journal of Applied Geophysics 176, 104015, 2020
12020
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
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
AGU Fall Meeting Abstracts 2014, H44E-04, 2014
12014
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
2021
Evaluation of the spatial distribution of a stochastically reconstructed ensemble of precipitation fields using RMWSPy
B Haese, N Blettner, S Hörning, M Linder, C Chwala, H Kunstmann
EGU21, 2021
2021
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
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
EGU General Assembly Conference Abstracts, 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
EGU General Assembly Conference Abstracts, 10467, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20