Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation Y Tang, P Reed, T Wagener, K Van Werkhoven Hydrology and Earth System Sciences 11 (2), 793-817, 2007 | 406 | 2007 |
Characterization of watershed model behavior across a hydroclimatic gradient K van Werkhoven, T Wagener, P Reed, Y Tang Water Resources Research 44 (1), 2008 | 245 | 2008 |
Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models K Van Werkhoven, T Wagener, P Reed, Y Tang Advances in Water Resources 32 (8), 1154-1169, 2009 | 238 | 2009 |
Advancing the identification and evaluation of distributed rainfall‐runoff models using global sensitivity analysis Y Tang, P Reed, K Van Werkhoven, T Wagener Water Resources Research 43 (6), 2007 | 213 | 2007 |
A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate–accounting for changing watershed behavior R Singh, T Wagener, K Van Werkhoven, ME Mann, R Crane Hydrology and Earth System Sciences 15 (11), 3591-3603, 2011 | 127 | 2011 |
Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling T Wagener, K Van Werkhoven, P Reed, Y Tang Water Resources Research 45 (2), 2009 | 104 | 2009 |
Rainfall characteristics define the value of streamflow observations for distributed watershed model identification K van Werkhoven, T Wagener, P Reed, Y Tang Geophysical Research Letters 35 (11), 2008 | 77 | 2008 |
Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation T Tang, P Reed, T Wagener, K Van Werkhoven Hydrology and Earth System Sciences Discussions 3 (6), 3333-3395, 2006 | 68 | 2006 |
Hydrological impacts of climate change in gauged and ungauged watersheds of the Olifants basin: a trading-space-for-time approach R Singh, K van Werkhoven, T Wagener Hydrological Sciences Journal 59 (1), 29-55, 2014 | 42 | 2014 |
Advances in the identification and evaluation of complex environmental systems models T Wagener, P Reed, K Van Werkhoven, Y Tang, Z Zhang Journal of Hydroinformatics 11 (3-4), 266-281, 2009 | 31 | 2009 |
A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate. R Singh, T Wagener, K van Werkhoven, M Mann, R Crane Hydrology & Earth System Sciences Discussions 8 (4), 2011 | 5 | 2011 |
Comparison of parameter sensitivity analysis methods for lumped watershed model Y Tang, PM Reed, T Wagener, K van Werkhoven World Environmental and Water Resources Congress 2008: Ahupua'A, 1-8, 2008 | 4 | 2008 |
A robust decision making framework for identifying dominant controls on indicators of hydrologic alteration under environmental change R Singh, T Wagener, K van Werkhoven, MM Mann, R Crane, L Ning EGU general assembly conference abstracts (pp. EGU2013-3628), 2013 | 1 | 2013 |
Credibility of hydrologic models in the context of climate change impact studies-A case study in the Olifants Basin, South Africa T Wagener, K van Werkhoven, R Singh EGU General Assembly Conference Abstracts, 7484, 2010 | 1 | 2010 |
Towards a Synthesis of Perceptual Models of Dominant Hydrologic Processes Across North America J Masterman, W Knoben, HK McMillan AGU24, 2024 | | 2024 |
Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting P Das, A Posch, N Barber, M Hicks, K Duffy, T Vandal, D Singh, ... npj Climate and Atmospheric Science 7 (1), 282, 2024 | | 2024 |
High-resolution national-scale water modeling is enhanced by multiscale differentiable physics-informed machine learning Y Song, T Bindas, C Shen, H Ji, WJM Knoben, L Lonzarich, MP Clark, ... Authorea Preprints, 2024 | | 2024 |
How many models do we need to simulate hydrologic processes across large geographical domains? WJM Knoben, A Raman, GJ Gründemann, M Kumar, A Pietroniro, C Shen, ... Hydrology and Earth System Sciences Discussions 2024, 1-21, 2024 | | 2024 |
Creating a community testbed to strengthen the research to operations pathway for hydrologic prediction in the US A Wood, J Sturtevant, K Van Werkhoven, M Denno, T Hogue EGU24, 2024 | | 2024 |
Developing perceptual models of hydrologic behavior across the North American continent W Knoben, M Clark, Y Fan, H McMillan, J Read, K van Werkhoven EGU24, 2024 | | 2024 |