Thorsten Wagener

Water Science and Technology · 2001–2016

A researcher in the Science corpus: 19 papers; trusts 47 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Water Science and Technology — 75 citations into it; #21 of 1,711 by trust here, #77 by citations
• Global and Planetary Change — 67 citations into it; #605 of 10,225 by trust here, #1,104 by citations
• Statistics and Probability — 57 citations into it; #5,561 of 12,932 by trust here, #4,371 by citations
• Environmental Engineering — 56 citations into it; #126 of 5,479 by trust here, #153 by citations
• Civil and Structural Engineering — 25 citations into it; #2,210 of 6,160 by trust here, #4,007 by citations
• Ocean Engineering — 22 citations into it; #230 of 3,193 by trust here, #160 by citations
• Computational Theory and Mathematics — 17 citations into it
• Mechanics of Materials — 12 citations into it

Whom Thorsten Wagener trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hoshin V. Gupta
2. Keith Beven
3. Soroosh Sorooshian
4. Andrea Saltelli
5. Qingyun Duan
6. Henrik Madsen
7. Vinod Kumar Gupta
8. Jasper A. Vrugt
9. Vijay P. Singh
10. Emanuele Borgonovo

Who trusts Thorsten Wagener overall

1. Hoshin V. Gupta
2. Jasper A. Vrugt
3. Francesca Pianosi
4. Yuqiong Liu
5. Jonathan D. Herman
6. P. Pokhrel
7. Fanny Sarrazin
8. Keith Beven
9. M. Clark
10. Koray K. Yilmaz

Papers from Thorsten Wagener's perspective

Ordered by how strongly the researchers Thorsten Wagener trusts endorse each paper. Same corpus, a different order for every researcher.

1. Effective and efficient global optimization for conceptual rainfall‐runoff models
2. The future of distributed models: model calibration and uncertainty prediction.
3. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
4. Probabilistic sensitivity analysis of complex models: a Bayesian approach
5. Bayesian recursive parameter estimation for hydrologic models
6. Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
7. Making best use of model evaluations to compute sensitivity indices
8. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
9. Multi-objective global optimization for hydrologic models
10. From screening to quantitative sensitivity analysis. A unified approach (Computer Physics Communications)

Their papers

• Global Sensitivity Analysis of environmental models: Convergence and validation (2016) — 328 citations
• Sensitivity analysis of environmental models: A systematic review with practical workflow (2014) — 1,428 citations
• A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015) — 467 citations
• A Matlab toolbox for Global Sensitivity Analysis (2015) — 604 citations
• Time‐varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior (2013) — 155 citations
• Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season (2010) — 158 citations
• The future of hydrology: An evolving science for a changing world (2010) — 692 citations
• Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models (2009)
• A formal framework for scenario development in support of environmental decision-making (2009) — 397 citations
• Reconciling theory with observations: elements of a diagnostic approach to model evaluation (2008) — 638 citations
• A spatial regularization approach to parameter estimation for a distributed watershed model (2008) — 109 citations
• Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management (2008) — 414 citations
• A process‐based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model (2008) — 579 citations
• Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model (2006) — 131 citations
• Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops (2006) — 441 citations
• Model identification for hydrological forecasting under uncertainty (2005) — 358 citations
• Ensemble predictions of runoff in ungauged catchments (2005) — 376 citations
• Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis (2003) — 615 citations
• A framework for development and application of hydrological models (2001) — 619 citations