Results 61 to 70 of about 190 (113)

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 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

Simulated diurnal rainfall physics in a multi-scale global climate model with embedded explicit convection [PDF]

, 2011
It is well known that the statistical methods (“parameterizations”) used to represent cloud processes for climate prediction distort the simulated diurnal rainfall cycle.
Pritchard, Michael S., Pritchard, Michael Stephen   +1 more
core  

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

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

Superparameterization of OpenIFS with DALES

, 2018
sp-coupler is python code to couple different atmospheric models, namely the ECMWF OpenIFS global weather model and DALES, a small-scale atmospheric LES.
Jansson, Fredrik, Oord, Gijs, Pelupessy, Inti   +2 more
core   +1 more source

‘Super-Parameterization’ – a Better Way to Simulate Regional Extreme Precipitation?

Journal of Advances in Modeling Earth Systems, 2012
Extreme precipitation is generally underestimated by current climate models relative to observations of present-day rainfall distributions. Possible causes of this systematic error include the convective parameterization in these models that have been ...
Michael F. Wehner, William D. Collins, Daniele Rosa, Fuyu Li   +3 more
doaj  

Rainfall From Resolved Rather Than Parameterized Processes Better Represents the Present‐Day and Climate Change Response of Moderate Rates in the Community Atmosphere Model [PDF]

, 2018
Deficiencies in the parameterizations of convection used in global climate models often lead to a distorted representation of the simulated rainfall intensity distribution (i.e., too much rainfall from weak rain rates).
O'Brien, Travis A, Travis A. O'Brien, Kooperman, Gabriel J, Ben W. Timmermans, Timmermans, Ben W, Michael S. Pritchard, Gabriel J. Kooperman, Pritchard, Michael S   +7 more
core   +1 more source

Projection of Summer Precipitation over the Southeastern United States in the Superparameterized CCSM4

Journal of Climate, 2015
Abstract Projections of the hydrological cycle over the southeastern United States are compared between CCSM4 and the superparameterized model (SP-CCSM4). Under the extreme forcing of the representative concentration pathway 8.5 (RCP8.5) climate change scenario, in Virginia, North Carolina, South Carolina, and Kentucky, SP-CCSM4 projects
Xiaojie Zhu, Cristiana Stan
openaire   +1 more source

Consequences of systematic model drift in DYNAMO MJO hindcasts with SP‐CAM and CAM5 [PDF]

, 2015
Hindcast simulations of MJO events during the dynamics of the MJO (DYNAMO) field campaign are conducted with two models, one with conventional parameterization (CAM5) and a comparable model that utilizes superparameterization (SP-CAM). SP-CAM is shown to
Walter M. Hannah, Eric D. Maloney, Maloney, Eric D, Hannah, Walter M, Michael S. Pritchard, Pritchard, Michael S   +5 more
core   +1 more source