Works matching AU Hörning, Sebastian
Results: 11
Process-Driven Direction-Dependent Asymmetry: Identification and Quantification of Directional Dependence in Spatial Fields.
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- Mathematical Geosciences, 2017, v. 49, n. 7, p. 871, doi. 10.1007/s11004-017-9682-1
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- Article
Random Mixing: An Approach to Inverse Modeling for Groundwater Flow and Transport Problems.
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- Transport in Porous Media, 2016, v. 114, n. 2, p. 241, doi. 10.1007/s11242-015-0608-4
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- Article
Conditional simulation of surface rainfall fields using modified phase annealing.
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- Hydrology & Earth System Sciences Discussions, 2020, p. 1, doi. 10.5194/hess-2020-4
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- Article
Stochastic reconstruction of spatio-temporal rainfall pattern by inverse hydrologic modelling.
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- Hydrology & Earth System Sciences Discussions, 2018, p. 1, doi. 10.5194/hess-2018-350
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- Article
Stochastic reconstruction of precipitation fields for Germany using information from a country-wide network of Commercial Microwave Links.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Stochastic reconstruction of precipitation fields using combined information of Commercial Microwave Links and rain gauges.
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- Geophysical Research Abstracts, 2018, v. 20, p. 7238
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- Article
Conditional simulation of surface rainfall fields using modified phase annealing.
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- Hydrology & Earth System Sciences, 2020, v. 24, n. 5, p. 2287, doi. 10.5194/hess-24-2287-2020
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- Article
Stochastic reconstruction of spatio-temporal rainfall patterns by inverse hydrologic modelling.
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- Hydrology & Earth System Sciences, 2019, v. 23, n. 1, p. 225, doi. 10.5194/hess-23-225-2019
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- Article
Definition of Spatial Copula Based Dependence Using a Family of Non‐Gaussian Spatial Random Fields.
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- Water Resources Research, 2023, v. 59, n. 7, p. 1, doi. 10.1029/2023WR034446
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- Article
Combining Commercial Microwave Link and Rain Gauge Observations to Estimate Countrywide Precipitation: A Stochastic Reconstruction and Pattern Analysis Approach.
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- Water Resources Research, 2022, v. 58, n. 10, p. 1, doi. 10.1029/2022WR032563
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- Article
Gaussian and non-Gaussian inverse modeling of groundwater flow using copulas and random mixing.
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- Water Resources Research, 2016, v. 52, n. 6, p. 4504, doi. 10.1002/2014WR016820
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- Article