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June 11, 2023
A multi-chemistry modelling framework to enable flexible and reproducible water quali...
Diogo Costa, Kyle Klenk, Wouter Johannes Maria Knoben, et al.
June 19, 2023
A multi-chemistry modelling framework to enable flexible and reproducible water quali...
Diogo Costa, Kyle Klenk, Wouter Johannes Maria Knoben, et al.
November 20, 2023
Pitfalls in using statistical bias-correction methods to characterize climate change...
Nicolás A. Vásquez, Pablo A. Mendoza, Wouter Johannes Maria Knoben, et al.
October 10, 2022
pyVISCOUS: An open-source tool for computationally frugal global sensitivity analysis
Hongli Liu, Martyn P. Clark, Shervan Gharari, et al.
March 22, 2022
A Flexible Multi-Scale Framework to Simulate Lakes and Reservoirs in Earth System Mod...
S. Gharari, Inne Vanderkelen, Andrew Tefs, et al.
October 14, 2022
Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating mod...
Wouter Johannes Maria Knoben, Martyn P. Clark, Jerad Bales, et al.
March 03, 2020
Probabilistic Spatial Meteorological Estimates for Alaska and the Yukon
Andrew J Newman, Martyn P. Clark, Andrew W Wood, et al.
July 17, 2020
Process oriented insights from interpretable machine learning - what influences flood...
Lina Stein, Martyn P. Clark, Wouter Johannes Maria Knoben, et al.
December 20, 2021
The SUMMA-SUNDIALS Earth System Model
Raymond Spiteri, Reza Zolfaghari, Wouter Knoben, et al.
December 11, 2020
VISCOUS: A Variance-Based Sensitivity Analysis Using Copulas for Efficient Identifica...
Razi Sheikholeslami, Shervan Gharari, Simon M Papalexiou, et al.