Results 41 to 50 of about 190 (113)
Abstract Aerosol particles play a crucial role in the global climate by absorbing and scattering radiation and influencing cloud properties. This study explores the role of resolved convection on precipitation and subsequent removal by wet deposition of aerosol in the Community Earth System Model (CESM2.1.0) by comparing two configurations with ...
Alison Banks +3 more
wiley +1 more source
Resolving clouds in a global atmosphere model - a multiscale approach with nested models
Slides for a presentation on superparameterization of the global atmospheric model OpenIFS with ...
Jansson, Fredrik +13 more
core +1 more source
Abstract We present a comprehensive evaluation of 13 global storm‐resolving models participating in the DYnamics of the Atmospheric general circulation Modeled On Non‐hydrostatic Domains (DYAMOND) Winter intercomparison project, focusing on their ability to simulate key atmospheric fields, such as precipitation rate, outgoing longwave radiation, and ...
Joonghyun In, Marat Khairoutdinov
wiley +1 more source
Interpretable Machine Learning‐Based Radiation Emulation for ICON
Abstract The radiation parameterization is one of the computationally most expensive components of Earth system models (ESMs). To reduce computational cost, radiation is often calculated on coarser spatial or temporal scales, or both, than other physical processes in ESMs, leading to uncertainties in cloud‐radiation interactions and thereby in ...
Katharina Hafner +6 more
wiley +1 more source
Causal Evidence that Rotational Moisture Advection is Critical to the Superparameterized Madden–Julian Oscillation [PDF]
AbstractThe authors investigate the hypothesis that horizontal moisture advection is critical to the eastward propagation of the Madden–Julian oscillation (MJO). Consistent diagnostic evidence has been found in recent MJO-permitting global models viewed from the moisture-mode dynamical paradigm.
Pritchard, Michael S +1 more
openaire +3 more sources
The global atmospheric models based on the Multi‐scale Modeling Framework (MMF) are able to explicitly resolve subgrid‐scale processes by using embedded 2‐D Cloud‐Resolving Models (CRMs).
Joon‐Hee Jung
doaj +1 more source
Abstract A critical challenge for machine‐learning (ML) parameterization in global climate models (GCMs) is to achieve stable, accurate simulations under climates not seen during training. Previous studies have demonstrated promising offline performance and year‐long online stability in aquaplanet simulations but have encountered difficulties in real ...
Yilun Han +3 more
wiley +1 more source
Apresenta-se uma revisão de literatura sobre convecção naAmazônia, com foco na sua parametrização em modelos numéricos. Estudos baseados em dados observacionais obtidos durante campanhas de campo são examinados.
David Kenton Adams +2 more
doaj +1 more source
Abstract Cloud plays a crucial role in modulating the energy budget of the earth‐atmosphere system. Cloud‐resolving models have been demonstrated to be capable of better simulating the microphysical processes within clouds. This study assesses the super‐parameterized version of Community Atmosphere Model Version 6 (SPCAM6) in simulating clouds ...
Siyu Yue, Yang Xia, Zengyuan Guo
wiley +1 more source
On the Dependence of Simulated Convection on Domain Size in CRMs
We present a heuristic model to explain the suppression of deep convection in convection‐resolving models (CRMs) with a small number of grid columns, such as those used in super‐parameterized or multi‐scale modeling framework (MMF) general circulation ...
A. M. Jenney, Z. Hu, W. M. Hannah
doaj +1 more source

