Results 61 to 70 of about 573 (116)

Ship‐Based Lidar Evaluation of Southern Ocean Low Clouds in the Storm‐Resolving General Circulation Model ICON and the ERA5 and MERRA‐2 Reanalyses

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 22, 28 November 2025.
Abstract Global storm resolving models (GSRMs) represent the next generation of global climate models. One of them is a 5‐km Icosahedral Nonhydrostatic Weather and Climate Model (ICON). Its high resolution means that parameterizations of convection and clouds, including subgrid‐scale clouds, are omitted, relying on explicit simulation but necessarily ...
Peter Kuma, Frida A.‐M. Bender, Adrian J. McDonald, Simon P. Alexander, Greg M. McFarquhar, John J. Cassano, Graeme E. Plank, Sean Hartery, Simon Parsons, Sally Garrett, Alex J. Schuddeboom, Anna Possner   +11 more
wiley   +1 more source

Evaluating Mean State Cloud Properties in the Simple Cloud‐Resolving E3SM Atmosphere Model (SCREAM)

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 11, November 2025.
Abstract Accurately simulating clouds remains a key challenge in global climate models, primarily because cloud formation involves sub‐grid processes that are parameterized and crudely represented in models. This study examines the performance of DOE's Simple Cloud‐Resolving Energy Exascale Earth System (E3SM) Atmosphere Model (SCREAM) in simulating ...
Li‐Wei Chao, Mark D. Zelinka, Christopher R. Terai, Hassan Beydoun, Benjamin R. Hillman, Noel D. Keen, Peter M. Caldwell, Stephen A. Klein   +7 more
wiley   +1 more source

Radiative, Hydrologic, and Circulation Responses to Warming in Cess‐Potter Simulations Using the Global 3.25‐km SCREAM

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 10, October 2025.
Abstract Using the global 3.25‐km Simple Cloud Resolving E3SM Atmosphere Model (SCREAM 3 km), a pair of 13‐month Cess‐Potter simulations are performed to quantify the radiative feedbacks and the hydrologic and circulation responses to warming. Large‐scale aspects of SCREAM 3 km's top‐of‐atmosphere radiative fluxes, precipitation rates, and circulations
C. R. Terai, N. D. Keen, P. M. Caldwell, H. Beydoun, P. A. Bogenschutz, L.‐W. Chao, B. R. Hillman, H.‐Y. Ma, M. D. Zelinka, L. Bertagna, A. M. Bradley, T. C. Clevenger, A. S. Donahue, J. Foucar, J.‐C. Golaz, O. Guba, W. Hannah, J. Lee, W. Lin, N. Mahfouz, J. Mülmenstädt, A. G. Salinger, B. Singh, S. Sreepathi, Y. Qin, M. A. Taylor, P. A. Ullrich, W.‐Y. Wu, X. Yuan, C. S. Zender, Y. Zhang   +30 more
wiley   +1 more source

Global Cloud-Resolving Models [PDF]

Global cloud-resolving models (GCRMs) are a new category of atmospheric global models designed to solve different flavors of the nonhydrostatic equations through the use of kilometer-scale global meshes. GCRMs make it possible to explicitly simulate deep
Düben, Peter, Judt, Falko, Khairoutdinov, Marat, Lin, Shian-Jiann, Putman, William M., Satoh, Masaki, Stevens, Bjorn   +6 more
core   +1 more source

Offline Performance of a Nonlocal Deep Learning Parameterization for Climate Model Representation of Atmospheric Gravity Waves

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 10, October 2025.
Abstract Gravity waves (GWs) make crucial contributions to the middle atmospheric circulation. Yet, their climate model representation remains inaccurate, leading to key circulation biases. This study introduces a set of three neural networks (NNs) that learn to predict GW fluxes (GWFs) from multiple years of high‐resolution ERA5 reanalysis.
Aman Gupta, Aditi Sheshadri, Sujit Roy, Valentine Anantharaj   +3 more
wiley   +1 more source

Calculation of the thermodynamic properties of a mixture of gases as a function of temperature and pressure [PDF]

The evaluation of the thermodynamic properties of a gas mixture can be performed using a generalized correlation which makes use of the second virial coefficient.
Colon, G.
core   +1 more source

Why Idealized Models Are More Important Than Ever in Earth System Science

AGU Advances, Volume 6, Issue 4, August 2025.
Abstract Simulating the Earth system is crucial for studying Earth's climate and how it changes. Modeling approaches that simplify the Earth system while retaining key characteristics are important tools to advance understanding. The simplicity and flexibility of idealized models enables imaginative science and makes them powerful educational tools ...
Kevin A. Reed, Brian Medeiros, Christiane Jablonowski, Isla R. Simpson, Aiko Voigt, Allison A. Wing   +5 more
wiley   +1 more source

The Land‐Ocean Contrast in Deep Convective Intensity in a Global Storm‐Resolving Model

Journal of Advances in Modeling Earth Systems
Observations reveal a clear difference in the intensity of deep convection over tropical land and ocean. This observed land‐ocean contrast provides a natural benchmark for evaluating the fidelity of global storm‐resolving models (GSRMs; global models ...
Tristan H. Abbott, Nadir Jeevanjee, Kai‐Yuan Cheng, Linjiong Zhou, Lucas Harris   +4 more
doaj   +1 more source

Mesoscale Convective Systems in DYAMOND Models: A Feature Tracking Intercomparison.

The DYAMOND project (Stevens et al. 2019) provides an intercomparison framework for state-of-the-art global convection-permitting models with km-scale horizontal grid spacing that can directly simulate convective storms. We recently assessed the fidelity of the convective storms simulated by DYAMOND models using a novel feature tracking technique (Feng
Zhe Feng, Ruby Leung, Andreas Prein, Thomas Fiolleau, William Jones, Zachary Moon, Ben Maybee, Fengfei Song, Jinyan Song, Kelly Núñez Ocasio, Cornelia Klein, Adam Varble, Remy Roca, Puxi Li   +13 more
openaire   +2 more sources

A Particle‐in‐Cell Wave Model for Efficient Sea‐State Estimates in Earth System Models—PiCLES

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 8, August 2025.
Abstract Ocean surface waves have been demonstrated to be an important component of coupled Earth System Models (ESMs), influencing atmosphere‐ocean momentum transfer; ice floe breakage; CFC, carbon, and energy uptake; and mixed‐layer depth. Modest errors in sea state properties do not strongly affect the impacts of these parameterizations.
Momme Hell, Baylor Fox‐Kemper, Bertrand Chapron   +2 more
wiley   +1 more source