The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …

Abstract Machine learning (ML) is increasing in popularity in the field of weather and climate
modelling. Applications range from improved solvers and preconditioners, to …

Soil–Vegetation–Atmosphere Transfer (SVAT) models are a promising avenue towards
gaining a better insight into land surface interactions and Earth's system dynamics. One …

Acute exposure effects of short-wavelength solar ultraviolet-B (UV-B) radiation can trigger
skin-based diseases and eye health ailments in humans and animals, as well as disrupt …

Measurements of three flux towers operated during the land atmosphere feedback
experiment (LAFE) are used to investigate relationships between surface fluxes and …

The field of artificial intelligence (AI) has seen tremendous advancements, particularly in
machine learning (ML) and deep learning (DL) technologies. This research paper …

The scientific field of urban climatology has long investigated the two-way interactions
between cities and their overlying atmosphere through in-situ observations and climate …

Reliable boundary‐layer turbulence parametrizations for polar conditions are needed to
reduce uncertainty in projections of Arctic sea ice melting rate and its potential global …

Crop diseases are increasingly causing devastating yield losses each year, posing a
significant threat to global food security. Currently, fungicide treatment is one of the most …

Abstract Herein we present Sim2DSphere, an open-source software tool that offers a
complete environment for map** key parameters characterizing land surface interactions …