Researches

Long-term changes in PET and ET are due to increased atmospheric demand for water vapor. Biotic disturbance played a larger role than climate change on ET dynamics due to stress, mortality, and replacement by deciduous species over 2004-2023.

A common set of drivers explain variation of monthly GW anomaly across the WCS, but there are regional differences. Model without pumping and Land use might be used in areas with deeper GW compared to shallow GW.

A new framework based on a machine learning data-driven network to estimate and forecast evapotranspiration in agricultural areas was proposed.

Assess uncertainties in the Wisconsin Irrigation and Scheduling Program (WISP) model inputs due to meteorological variables and improve model performance by calibrating parameters based on ground EC observations and satellite measurements