The "Blob," a significant marine heat wave in the Northeast Pacific Ocean from 2013 to 2016, had profound effects on climate and marine ecosystems. Predicting such events is challenging due to the ...

Data assimilation is a mathematical discipline that integrates observed data and numerical models to improve the interpretation and prediction of dynamical systems. It is a crucial component of Earth ...

Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...

Understanding how pollutants move underground is difficult because aquifers are far from uniform. Water can travel quickly through some zones and ...

A team of scientists at Los Alamos National Laboratory is applying machine-learning algorithms to subsurface imaging that will impact a variety of applications, including energy exploration, carbon ...