Almost fifty years have passed since the idea to retrieve a value for Evapotranspiration (ET)
using remote sensing techniques was first considered. Numerous ET models have been …

Abstract Machine learning (ML) applications in soil science have significantly increased over
the past two decades, reflecting a growing trend towards data-driven research addressing …

The relationship between evaporative fraction (EF) and soil moisture (SM) has traditionally
been used in atmospheric and land‐surface modeling communities to determine the …

Pakistan is the fifth most populous country in the world. Its ecological environment is facing
numerous stresses such as climate change, rapid urbanization, natural disasters, and a …

Urbanization alters land surface properties in absorbing, reflecting and emitting radiation as
well as infiltrating, evaporating and storing water. This consequently modifies surface energy …

How large turbulent eddies influence non‐closure of the surface energy balance is an active
research topic that cannot be uncovered by the mean continuity equation in isolation. It is …

Measurements of the surface energy fluxes (turbulent and radiative) and other ancillary
atmospheric/soil parameters made in the Columbia River Basin (Oregon) in an area of …

A dry soil layer (DSL) of certain thickness is usually formed on the sandy soil surface during
the soil water evaporation process, with the bottom boundary of DSL corresponding to the …

A fully coupled three-dimensional surface and subsurface land model is developed and
applied to a site along the Columbia River to simulate three-way interactions among river …

Gap-filling eddy covariance CO 2 fluxes is challenging at dryland sites due to small CO 2
fluxes. Here, four machine learning (ML) algorithms including artificial neural network (ANN) …