Scott Steinschneider

An argument for parsimony in differentiable hydrologic models

Abstract. Differentiable hydrologic models that use machine learning to infer parameters for process-based models show promise for both prediction and inference. However, these models are often developed with time-varying parameters, despite evidence that such flexibility can und...