Selecting the appropriate best management practices (BMPs) is crucial for reducing
pollution levels and improving the watershed's water quality. However, identifying cost …

In recent years, remote sensing data have revealed considerable potential in unraveling
crucial information regarding water balance dynamics due to their unique spatiotemporal …

The calibration of integrated groundwater-surface water models is often associated with high
dimensionality and stagnation around local optimum solutions. Since these models are …

Rainfall-runoff models are widely used for predicting watershed runoff. The accuracy of the
predictions heavily relies on effective model calibration, which is majorly influenced by the …

Evaporation is gaining increasing attention as a calibration and evaluation variable in
hydrologic studies that seek to improve the physical realism of hydrologic models and go …

A major effect of environment on crops is through crop phenology, and therefore, the
capacity to predict phenology for new environments is important. Mechanistic crop models …

The PairwiseIHA is an open-source toolkit written in Python that enables the user to quickly
obtain the Indicators of Hydrologic Alteration (IHA) from inflow and outflow time series for …

The careful selection of Best Management Practices (BMPs) to reduce loading, such as
nitrogen, phosphorus, and sediments, can substantially improve the water quality of water …

High-resolution temporal data (eg, daily) is valuable for the decision-making of water
resources management because it more accurately captures fine-scale processes and …

Evaporation is gaining increasing attention as a calibration and evaluation variable in
hydrologic studies that seek to improve the physical realism of hydrologic models and go …