Results 51 to 60 of about 190 (113)

Effects of Explicit Convection on Land Surface Air Temperature and Land‐Atmosphere Coupling in the Thermal Feedback Pathway

Journal of Advances in Modeling Earth Systems, 2018
Simulating and understanding continental temperature extremes is a critical issue in Earth System Modeling. Conventional general circulation models are impaired by imperfect cloud and boundary layer parameterization schemes with implications for ...
J. Sun, M. S. Pritchard
doaj   +1 more source

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

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

Physically Interpretable Emulation of a Moist Convecting Atmosphere With a Recurrent Neural Network

Geophysical Research Letters, Volume 52, Issue 17, 16 September 2025.
Abstract Data‐driven convective parameterization aims to accurately represent convective adjustments to large‐scale forcings in a computationally economic manner. While previous studies have demonstrated success using various model architectures, challenges persist in developing physically interpretable models and assessing generalizability and ...
Qiyu Song, Zhiming Kuang
wiley   +1 more source

Dataset associated with "Multiple‐instance superparameterization, Part 1: Concept, and predictability of precipitation"

, 2019
Contents of the dataset (purpose and scope, time period, areas of investigation): Daily-mean history file output in netcdf format for 30 simulated years from three different CAM simulations: 1) MP-CAM (multiple instance super-parameterized community ...
Randall, David, Jones, Todd
core   +1 more source

A Framework to Attribute Tropical Multiscale Precipitation Extremes to Rain Event Morphology in Deep Convective Systems

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 12, 28 June 2025.
Abstract The different spatiotemporal scales used to calculate extreme precipitation intensities can lead to diverging interpretation when investigating their physical origin, impacts, and sensitivity to climate. Besides, the contribution of mesoscale convective systems (MCSs) to tropical precipitation extremes remains loosely quantified on various ...
M. Carenso, B. Fildier, R. Roca, T. Fiolleau   +3 more
wiley   +1 more source

Resolving clouds in a global atmosphere model

, 2019
Poster about superparameterization of clouds, convection and turbulence in the global atmospheric model OpenIFS, using DALES, a high-resolution, three-dimensional large-eddy simulation code.
Jansson, Fredrik, Crommelin, Daan (7119932), Jansson, Fredrik (7119923), Chertova, Maria, Siebesma, Pier (7119935), Chertova, Maria (7119926), Pelupessy, Inti (6885077), Grönqvist, Johanna, Siebesma, Pier, Pelupessy, Inti, Crommelin, Daan, van den Oord, Gijs (5898431), van den Oord, Gijs, Grönqvist, Johanna (7119929)   +13 more
core   +1 more source

The response of US summer rainfall to quadrupled CO2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model [PDF]

, 2014
Observations and regional climate modeling (RCM) studies demonstrate that global climate models (GCMs) are unreliable for predicting changes in extreme precipitation.
Kooperman, Gabriel J, Michael S. Pritchard, Pritchard, Michael S, Gabriel J. Kooperman, Somerville, Richard CJ, Richard C. J. Somerville   +5 more
core   +1 more source

Response of Global Mesoscale Convective Systems to Increased CO2 and Uniform SST Warming in a Global Storm‐Resolving Model

Earth's Future, Volume 13, Issue 6, June 2025.
Abstract Mesoscale convective systems (MCSs) are critical components of global energy and water cycles and significantly contribute to extreme weather events. However, projecting future MCS behavior remains challenging due to the limitations of regional models and the inadequate representation of MCSs in coarser climate models.
Wenhao Dong, Ming Zhao, Lucas Harris, Kai‐Yuan Cheng, Linjiong Zhou, V. Ramaswamy   +5 more
wiley   +1 more source

Vertically Recurrent Neural Networks for Sub‐Grid Parameterization

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 6, June 2025.
Abstract Machine learning has the potential to improve the physical realism and/or computational efficiency of parameterizations. A typical approach has been to feed concatenated vertical profiles to a dense neural network. However, feed‐forward networks lack the connections to propagate information sequentially through the vertical column.
P. Ukkonen, M. Chantry
wiley   +1 more source