Sensitivity analysis is now considered a standard practice in environmental modeling.
Several open-source libraries, such as the Sensitivity Analysis Library (SALib), have been …

Hydrological modeling, leveraging mathematical formulations to represent the hydrological
cycle, is a pivotal tool in representing the spatiotemporal dynamics and distribution patterns …

Abstract Model calibration is the procedure of finding model settings such that simulated
model outputs best match the observed data. Model calibration is necessary when the …

Abstract Global Sensitivity Analysis (GSA) is key to assisting appraisal of the behavior of
hydrological systems through model diagnosis considering multiple sources of uncertainty …

Process-based nitrogen reactive transport models (NRTMs) are vital tools for simulating
complex nitrogen reactive transport processes in soils and groundwater to reduce nutrient …

Satellite-based earth observations offer great opportunities to improve spatial model
predictions by means of spatial-pattern-oriented model evaluations. In this study, observed …

The process of model evaluation is not only an integral part of model development and
calibration but also of paramount importance when communicating modelling results to the …

Land surface models incorporate a large number of process descriptions, containing a
multitude of parameters. These parameters are typically read from tabulated input files …

Accurately predicting regional-scale water fluxes and states remains a challenging task in
contemporary hydrology. Co** with this grand challenge requires, among other things, a …

Land surface and hydrologic models (LSMs/HMs) are used at diverse spatial resolutions
ranging from catchment-scale (1–10 km) to global-scale (over 50 km) applications. Applying …