Egypt has perfected the art of passive resistance in navigating international pressures — delaying, complicating, and ...

Satellite imagery confirmed a US airstrike on Iran’s underground Fordow nuclear facility amid escalating tensions with Israel ...

Our knowledge of future climate change is largely dependent on complex computer simulation models. These models are huge – they are made up of more than 1 million lines of computer code representing ...

A new study from Kyushu University points the finger at an unlikely culprit: mixed-phase clouds that behave like a thermal blanket during the polar night, trapping more heat than most models assume.

TITLE: Evaluating the Performance of Land Surface Models and Microphysics Schemes on Simulation of an Extreme Rainfall Event in Tanzania Using the Weather Research and Forecasting Model AUTHORS: ...

TITLE: Evaluating the Performance of Land Surface Models and Microphysics Schemes on Simulation of an Extreme Rainfall Event in Tanzania Using the Weather Research and Forecasting Model AUTHORS: ...

Scientists have struggled to make models fine-grained enough to account for the intricate microphysics of aerosols and clouds, and have been forced to rely on simplified versions of how they think ...

The collapse of the core forces electrons and protons together, creating a sea of particles called neutrons. This material is so dense that a mere sugar cube's worth of neutron star matter would ...

Sulskis, Jason, 2016: A comparison and survey of the measured cloud liquid water context and an analysis of the bi-modal droplet spectra observed during the summer of 2013 convective precipitation ...

Inverse problems in scientific imaging often seek physical characterization of heterogeneous scene materials. The scene is thus represented by physical quantities, such as the density and sizes of ...

Current methods, however, recover very degenerate representations of microphysics. To enable 3D volumetric recovery of all the required microphysical parameters, we introduce the neural microphysics ...

This repository contains the code for the physics-informed machine learning parameterization for cloud microphysics in ICON. The simulation data used to train and evaluate the machine learning ...