Results 71 to 80 of about 505 (141)

Resolving Low Cloud Feedbacks Globally With E3SM High‐Res MMF: Agreement With LES but Stronger Shortwave Effects

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 6, June 2025.
Abstract This study investigates low cloud feedback in a warmer climate using global simulations from the High‐Resolution Multi‐scale Modeling Framework (HR‐MMF), which explicitly simulates small‐scale eddies globally. Two 5‐year simulations—one with present‐day sea surface temperatures (SSTs) and a second with SSTs warmed uniformly by 4 K—reveal a ...
Liran Peng, Peter N. Blossey, Walter M. Hannah, Christopher S. Bretherton, Christopher R. Terai, Andrea M. Jenney, Savannah L. Ferretti, Hossein Parishani, Michael S. Pritchard   +8 more
wiley   +1 more source

The effect of increased convective entrainment on Asian monsoon biases in the MetUM General Circulation Model [PDF]

, 2015
We demonstrate that summer precipitation biases in the South Asian monsoon domain are sensitive to increasing the convective parametrisation’s entrainment and detrainment rates in the Met Office Unified Model.
Bush, Stephanie J., Klingaman, Nick P., Martin, Gill M., Turner, Andy G., Woolnough, Steven J.   +4 more
core   +1 more source

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

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 5, May 2025.
Abstract 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 with horizontal resolution on the order of kilometers), and GSRMs provide a potentially ...
Tristan H. Abbott, Nadir Jeevanjee, Kai‐Yuan Cheng, Linjiong Zhou, Lucas Harris   +4 more
wiley   +1 more source

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties With Deep Learning Multi‐Member and Stochastic Parameterizations

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 4, April 2025.
Abstract Deep learning is a powerful tool to represent subgrid processes in climate models, but many application cases have so far used idealized settings and deterministic approaches. Here, we develop stochastic parameterizations with calibrated uncertainty quantification to learn subgrid convective and turbulent processes and surface radiative fluxes
Gunnar Behrens, Tom Beucler, Fernando Iglesias‐Suarez, Sungduk Yu, Pierre Gentine, Michael Pritchard, Mierk Schwabe, Veronika Eyring   +7 more
wiley   +1 more source

SPARTICUS: Small Particles in Cirrus Science and Operations Plan [PDF]

, 2009
From a mass-weighted perspective, cirrus clouds exert an enormous influence on the radiative energy budget of the earth?s climate system. Owing to their location in the cold upper troposphere, cirrus can significantly reduce the outgoing longwave ...
Ackerman, T., Comstock, J., Garrett, T., Jensen, E., Liu, X., Mace, J., McFarquhar, G., Mitchell, David L.   +7 more
core   +1 more source

Improving Stratocumulus Cloud Amounts in a 200‐m Resolution Multi‐Scale Modeling Framework Through Tuning of Its Interior Physics

Journal of Advances in Modeling Earth Systems
High‐Resolution Multi‐scale Modeling Frameworks (HR)—global climate models that embed separate, convection‐resolving models with high enough resolution to resolve boundary layer eddies—have exciting potential for investigating low cloud feedback dynamics
Liran Peng, Peter N. Blossey, Walter M. Hannah, Christopher S. Bretherton, Christopher R. Terai, Andrea M. Jenney, Michael Pritchard   +6 more
doaj   +1 more source

Reduced African Easterly Wave Activity with Quadrupled CO2 in the Superparameterized CESM

Journal of Climate, 2017
Abstract African easterly wave (AEW) activity is examined in quadrupled CO2 experiments with the superparameterized CESM (SP-CESM). The variance of 2–10-day filtered precipitation increases with warming over the West African monsoon region, suggesting increased AEW activity.
Anantha Aiyyer, Walter M. Hannah
openaire   +1 more source

Navigating the Noise: Bringing Clarity to ML Parameterization Design With O $\boldsymbol{\mathcal{O}}$(100) Ensembles

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 4, April 2025.
Abstract Machine‐learning (ML) parameterizations of subgrid processes (here of turbulence, convection, and radiation) may one day replace conventional parameterizations by emulating high‐resolution physics without the cost of explicit simulation. However, uncertainty about the relationship between offline and online performance (i.e., when integrated ...
Jerry Lin, Sungduk Yu, Liran Peng, Tom Beucler, Eliot Wong‐Toi, Zeyuan Hu, Pierre Gentine, Margarita Geleta, Mike Pritchard   +8 more
wiley   +1 more source

A First Look at the Global Climatology of Low‐Level Clouds in Storm Resolving Models

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 3, March 2025.
Abstract The representation of subtropical stratocumulus and trade‐wind cumulus clouds by preliminary versions of Integrated Forecasting System (IFS) and ICON km‐scale global coupled climate models is explored. These models differ profoundly in their strategy to represent subgrid‐scale processes.
Jakub L. Nowak, Ian C. D. V. Dragaud, Junhong Lee, Piotr Dziekan, Juan Pedro Mellado, Bjorn Stevens   +5 more
wiley   +1 more source

Diagnosing Nonlocal Vertical Acceleration in Moist Convection Using a Large‐Eddy Simulation

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 3, March 2025.
Abstract The anelastic theory of effective buoyancy has been generalized to include effects of momentum flux convergence, and has suggested that the dynamics—mediated by the nonlocal perturbation pressure—tends to average over forcing details, yielding vertical acceleration robust to small‐scale variations of the flow.
Fu‐Sheng Kao, Yi‐Hung Kuo, Chien‐Ming Wu   +2 more
wiley   +1 more source