Results 51 to 60 of about 505 (141)

Causal Evidence that Rotational Moisture Advection is Critical to the Superparameterized Madden–Julian Oscillation [PDF]

Journal of the Atmospheric Sciences, 2014
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, Bretherton, Christopher S   +1 more
openaire   +3 more sources

Interpretable Machine Learning‐Based Radiation Emulation for ICON

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
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, Fernando Iglesias‐Suarez, Sara Shamekh, Pierre Gentine, Marco A. Giorgetta, Robert Pincus, Veronika Eyring   +6 more
wiley   +1 more source

A Decadal Hybrid GCM Simulation Using Deep‐Learning‐Based Cloud and Convection Parameterization Generalized to a Warm Climate

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 12, December 2025.
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, Guang J. Zhang, Yong Wang, Hui Wan   +3 more
wiley   +1 more source

Evaluating Clouds in Long-Term Cloud-Resolving Model Simulations with Observational Data [PDF]

, 2006
Two 20-day, continental midlatitude cases are simulated with a three-dimensional (3D) cloud-resolving model (CRM) and compared to Atmospheric Radiation Measurement (ARM) data.
Eastman, Joseph L., Geiger, James V., Kumar, Sujay, Lang, Stephen, Peters-Lidard, Christa, Shie, Chung-Lin, Simpson, Joanne, Tao, Wei-Kuo, Xie, Shaocheng, Zeng, Xiping, Zhang, Minghua   +10 more
core   +1 more source

Land-atmospheric feedbacks during droughts and heatwaves : state of the science and current challenges [PDF]

, 2019
Droughts and heatwaves cause agricultural loss, forest mortality, and drinking water scarcity, especially when they occur simultaneously as combined events.
Gentine, Pierre, Miralles, Diego, Seneviratne, Sonia I, Teuling, Adriaan J   +3 more
core   +2 more sources

Evaluation of Community Atmosphere Model Version 6 and Its Super‐Parameterized Version in Simulation of Cloud and Radiation Using Satellite Observation

Earth and Space Science, Volume 12, Issue 10, October 2025.
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

Simulation of orographic effects with a Quasi‐3‐D Multiscale Modeling Framework: Basic algorithm and preliminary results

Journal of Advances in Modeling Earth Systems, 2016
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

Stratocumulus Cloud Clearings and Notable Thermodynamic and Aerosol Contrasts across the Clear–Cloudy Interface [PDF]

, 2016
Data from three research flights, conducted over water near the California coast, are used to investigate the boundary between stratocumulus cloud decks and clearings of different sizes.
Brunke, Michael, Chuang, Patrick Y., Coggon, Matthew M., Craven, Jill S., Crosbie, Ewan, Flagan, Richard C., Jonsson, Haflidi, Seinfeld, John H., Sorooshian, Armin, Wang, Zhen, Woods, Roy K., Zeng, Xubin   +11 more
core   +2 more sources

Can Second‐Order Numerical Accuracy Be Achieved for Moist Atmospheric Dynamics With Non‐Smoothness at Cloud Edge?

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 10, October 2025.
Abstract Non‐smoothness arises at cloud edge because, in moist thermodynamics, the thermodynamic properties of the atmosphere are different inside a cloud versus in clear air. In particular, inside a cloud, the vapor pressure of water is constrained by the saturation vapor pressure, which acts as a threshold.
David H. Marsico, Shukai Du, Samuel N. Stechmann   +2 more
wiley   +1 more source

Convecção úmida na Amazônia: implicações para modelagem numéric Moist convection in Amazonia: implications for numerical modelling

Revista Brasileira de Meteorologia, 2009
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, Enio Pereira de Souza, Alexandre Araújo Costa   +2 more
doaj   +1 more source