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Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management., , , and . Environ. Model. Softw., 23 (7): 846-858 (2008)Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost., , , , and . Environ. Model. Softw., (2019)Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG., , , , and . CoRR, (2021)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support., , , , , , , , , and 9 other author(s). Environ. Model. Softw., (2021)Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron., and . CoRR, (2024)Differentiable modeling to unify machine learning and physical models and advance Geosciences., , , , , , , , , and 19 other author(s). CoRR, (2023)Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples., , , , , and . Entropy, 23 (6): 740 (2021)On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization., , , , , , , , , and 3 other author(s). Environ. Model. Softw., (September 2023)Superior training of artificial neural networks using weight-space partitioning., , and . ICNN, page 1919-1923. IEEE, (1997)VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis., , , and . Environ. Model. Softw., (2019)