Progress in understanding the impact of mesoscale variability, including gravity waves (GWs), on atmospheric circulation is often limited by the availability of global fine-resolution …
Global climate models typically operate at a grid resolution of hundreds of kilometers and fail to resolve atmospheric mesoscale processes, eg, clouds, precipitation, and gravity waves …
S Rhode, P Preusse, J Ungermann… - Atmospheric …, 2024 - amt.copernicus.org
In the past, satellite climatologies of gravity waves (GWs) have initiated progress in their representation in global models. However, these could not provide the phase speed and …
Machine learning (ML) techniques, especially neural networks (NNs), have shown promise in learning subgrid-scale (SGS) parameterizations for climate modeling. However, a major …
F Jochum, R Chew, F Lott, GS Voelker… - arXiv preprint arXiv …, 2024 - arxiv.org
A Lagrangian gravity-wave parameterization (MS-GWaM, Multi-Scale Gravity-Wave Model) that allows for fully transient wave-mean-flow interaction and horizontal propagation is …
AA Kotoye, KJ Bamidele, EO Falayi… - Journal of Science …, 2024 - journals.tasued.edu.ng
Abstract The Sudden Stratospheric Warming (SSW) events which occurred during solar cycle 23 (1998-2008) were investigated using daily stratospheric data (temperature …