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Katie van Werkhoven
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Year
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
3932007
Characterization of watershed model behavior across a hydroclimatic gradient
K van Werkhoven, T Wagener, P Reed, Y Tang
Water Resources Research 44 (1), 2008
2382008
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
2312009
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
2012007
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
1242011
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
1002009
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
752008
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
672006
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
392014
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
312009
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
52011
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
32008
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
12013
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
12010
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
Advancing Visualization-Based Methods for the Evaluation of Large Scale Operational Hydrologic Forecasts following Significant Flood Events
K van Werkhoven, JA Regina, JD Brown, MB Smith, M Denno, FL Ogden
AGU23, 2023
2023
CIROH Implements a Research+ Operations Paradigm at the Intersection of Hydrologic, Computer, Data, and Decision Sciences
SJ Burian, TM Graziano, EP Clark, FL Ogden, S Cohen, M Gremillion, ...
AGU23, 2023
2023
Towards Developing Perceptual Models of Hydrologic Behavior Across the North American Continent
W Knoben, MP Clark, J Bales, Y Fan, HK McMillan, JS Read, ...
AGU23, 2023
2023
Novel Methods and Tools for High-Resolution Streamflow Forecast Evaluation
K van Werkhoven, M Smith
103rd AMS Annual Meeting, 2023
2023
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Articles 1–20