Thomas Wöhling

发表

Model reduction of the numerical analysis of Low Impact Developments techniques

Patrizia Piro, Jirka Šimůnek, Giuseppe Brunetti, 2017 .

Evaluating experimental design for soil-plant model selection with Bayesian model averaging

Wolfgang Nowak, Andreas Geiges, Thomas Wöhling, 2013 .

Efficient calibration of a distributed pde-based hydrological model using grid coarsening

Olaf A. Cirpka, Thomas Wöhling, D. von Gunten, 2014 .

Lessons Learned from a Past Series of Bayesian Model Averaging studies for Soil/Plant Models

Wolfgang Nowak, Thomas Wöhling, Anneli Schöniger, 2015 .

A comparative study of three simulation optimization algorithms for solving high dimensional multi-objective optimization problems in water resources

Niels Schütze, Thomas Wöhling, Michael de Play, 2010 .

Modeling Soil Processes: Review, Key Challenges, and New Perspectives

Hans-Jörg Vogel, Jan Vanderborght, Mathieu Javaux, 2016 .

Optimal Design of Multitype Groundwater Monitoring Networks Using Easily Accessible Tools.

Wolfgang Nowak, Andreas Geiges, Thomas Wöhling, 2016, Ground water.

How Reliable is Bayesian Model Averaging Under Noisy Data? Statistical Assessment and Implications for Robust Model Selection

Wolfgang Nowak, Thomas Wöhling, Anneli Schöniger, 2014 .

Simplification error analysis for groundwater predictions with reduced order models

Thomas Wöhling, Moritz Gosses, 2019 .

Multiresponse, multiobjective calibration as a diagnostic tool to compare accuracy and structural limitations of five coupled soil‐plant models and CLM3.5

Sabine Attinger, Volker Wulfmeyer, Matthias Cuntz, 2013 .

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021 .

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021, Environ. Model. Softw..

Multi-model evaluation of phenology prediction for wheat in Australia

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021 .

Bayesian model averaging to explore the worth of data for soil‐plant model selection and prediction

Wolfgang Nowak, Thomas Wöhling, Anneli Schöniger, 2015 .

Assessing hyporheic exchange and associated travel times by hydraulic, chemical, and isotopic monitoring at the Steinlach Test Site, Germany

Olaf A. Cirpka, Thomas Wöhling, Carsten Leven, 2013, Environmental Earth Sciences.

Combining multiobjective optimization and Bayesian model averaging to calibrate forecast ensembles of soil hydraulic models

Jasper A. Vrugt, Thomas Wöhling, J. Vrugt, 2008 .

Multiresponse multilayer vadose zone model calibration using Markov chain Monte Carlo simulation and field water retention data

Jasper A. Vrugt, Thomas Wöhling, J. Vrugt, 2011 .

Efficient regularization and uncertainty analysis using a global optimization methodology

John Doherty, Catherine Moore, Thomas Wöhling, 2010 .

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Yan Zhu, Qi Jing, Eric Justes, 2019, European Journal of Agronomy.

Explicit treatment for Dirichlet, Neumann and Cauchy boundary conditions in POD-based reduction of groundwater models

Wolfgang Nowak, Thomas Wöhling, Moritz Gosses, 2018 .

Finding the right balance between groundwater model complexity and experimental effort via Bayesian model selection

Wolfgang Nowak, Walter A. Illman, Thomas Wöhling, 2015 .

Coupled simulation of surface runoff and soil water flow using multi-objective parameter estimation

Jirka Šimůnek, Thomas Wöhling, Valérie Pot, 2011 .

Irrigation control: towards a new solution of an old problem

Niels Schütze, Gerd H. Schmitz, Thomas Wöhling, 2007 .

How well do crop models predict phenology, with emphasis on the effect of calibration?

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2019, bioRxiv.