This article reviews the development of a global non-hydrostatic model, focusing on the
pioneering research of the Non-hydrostatic Icosahedral Atmospheric Model (NICAM). Very …

The atmosphere of a brown dwarf or extrasolar giant planet controls the spectrum of
radiation emitted by the object and regulates its cooling over time. Although the study of …

Most state-of-the-art approaches for weather and climate modeling are based on physics-
informed numerical models of the atmosphere. These approaches aim to model the non …

Statistical downscaling and bias correction are becoming standard tools in climate impact
studies. This book provides a comprehensive reference to widely-used approaches, and …

This report presents the details of the governing equations, physical parameterizations, and
numerical algorithms defining the version of the NCAR Community Atmosphere Model …

The Community Atmosphere Model (CAM) version 5 includes a spectral element dynamical
core option from NCAR's High-Order Method Modeling Environment. It is a continuous …

We propose the use of physics-informed neural networks for solving the shallow-water
equations on the sphere in the meteorological context. Physics-informed neural networks …

Empirical-statistical downscaling (ESD) is a method for estimating how local climatic
variables are affected by large-scale climatic conditions. ESD has been applied to local …

Im vorliegenden Lehrbuch werden die Grundlagen der Theoretischen Meteorologie
vermittelt. Nach Herleitung der grundlegenden Gesetze aus der Thermodynamik und …

Abstract All atmospheric General Circulation Models (GCMs) need some form of dissipation,
either explicitly specified or inherent in the chosen numerical schemes for the spatial and …