River temperature has a major influence on biophysical processes in lotic environments.
River temperature is expected to increase due to climate change, with potentially adverse …

Although deep learning applicability in various fields of earth sciences is rapidly increasing,
shallow multilayer-perceptron neural networks remain widely used for regression problems …

While the advective flux from cool melt runoff can be a significant source of thermal energy to
mountainous rivers, it has been a much less addressed process in river temperature …

Water temperature is a controlling indicator of river habitat since many physical, chemical
and biological processes in rivers are temperature dependent. Highly precise and reliable …

During the past several decades, numerous reservoirs have been built across the world for a
variety of purposes such as flood control, irrigation, municipal/industrial water supplies, and …

Quantifying water implications of energy transitions is important for assessing long-term
freshwater sustainability since large volumes of water are currently used throughout the …

In seasonally dry environments, critical zone drainage provides base flow that sustains river
ecosystems. The extent of wetted channels and magnitude of base flow throughout the …

There is a renewed focus on the design of infrastructure resilient to extreme
hydrometeorological events. While precipitation‐based intensity‐duration‐frequency (IDF) …

Controlled field experiments to disentangle the effect of canopy density from the effect of
climate on snowpack dynamics are limited by the underlying linkage between canopy …

Water temperature is a primary driver of stream ecosystems and commonly forms the basis
of stream classifications. Robust models of stream temperature are critical as the climate …