Scientists develop a novel machine learning-based technique that is equally effective in gaining information from observations about the unobserved state variables in the midlatitudes and tropics. Editors’ Highlights are summaries of recent papers by AGU’s journal editors. Source: Journal of Advances in Modeling Earth Systems The purpose of atmospheric data assimilation is to obtain a 3-dimensional gridded representation of the fields of the a... [2354 chars]