Results 1 to 10 of about 68 (59)

Regional Superparameterization in a Global Circulation Model Using Large Eddy Simulations

Journal of Advances in Modeling Earth Systems, 2019
As a computationally attractive alternative for global large eddy simulations (LESs), we investigate the possibility of using comprehensive three‐dimensional LESs as a superparameterization that can replace all traditional parameterizations of ...
F Jansson, Gijs Van Den Oord, Inti Pelupessy   +2 more
exaly   +2 more sources

Multiscale Modeling Framework Using Element‐Based Galerkin Methods for Moist Atmospheric Limited‐Area Simulations

Journal of Advances in Modeling Earth Systems
This paper presents a multiscale modeling framework (MMF) to model moist atmospheric limited‐area weather. The MMF resolves large‐scale convection using a coarse grid while simultaneously resolving local features through numerous fine local grids and ...
Soonpil Kang, James F. Kelly, Anthony P. Austin, Francis X. Giraldo   +3 more
doaj   +2 more sources

Assessing the Potential of Deep Learning for Emulating Cloud Superparameterization in Climate Models With Real‐Geography Boundary Conditions

Journal of Advances in Modeling Earth Systems, 2021
We explore the potential of feed‐forward deep neural networks (DNNs) for emulating cloud superparameterization in realistic geography, using offline fits to data from the superparameterized community atmospheric model.
Griffin Mooers, Michael S Pritchard, Tom Beucler   +2 more
exaly   +2 more sources

Crowdsourcing the Frontier: Advancing Hybrid Physics‐ML Climate Simulation via a $50,000 Kaggle Competition

Journal of Advances in Modeling Earth Systems
Subgrid machine‐learning (machine learning [ML]) parameterizations have the potential to introduce a new generation of climate models that incorporate the effects of higher‐resolution physics without incurring the prohibitive computational cost ...
Jerry Lin, Zeyuan Hu, Tom Beucler, Katherine Frields, Hannah Christensen, Walter Hannah, Helge Heuer, Peter Ukkonen, Laura A. Mansfield, Tian Zheng, Liran Peng, Ritwik Gupta, Pierre Gentine, Yusef Al‐Naher, Mingjiang Duan, Kyo Hattori, Weiliang Ji, Chunhan Li, Kippei Matsuda, Naoki Murakami, Shlomo Ron, Marec Serlin, Hongjian Song, Yuma Tanabe, Daisuke Yamamoto, Jianyao Zhou, Mike Pritchard   +26 more
doaj   +2 more sources

Multiple‐Instance Superparameterization: 1. Concept, and Predictability of Precipitation

Journal of Advances in Modeling Earth Systems, 2019
We have investigated the predictability of precipitation using a new configuration of the superparameterized Community Atmosphere Model (SP‐CAM). The new configuration, called the multiple‐instance SP‐CAM, or MP‐CAM, uses the average heating and drying ...
Todd R Jones, David A Randall, Mark Branson   +2 more
exaly   +2 more sources

Impacts of cloud superparameterization on projected daily rainfall intensity climate changes in multiple versions of the Community Earth System Model

Journal of Advances in Modeling Earth Systems, 2016
Changes in the character of rainfall are assessed using a holistic set of statistics based on rainfall frequency and amount distributions in climate change experiments with three conventional and superparameterized versions of the Community Atmosphere ...
Gabriel J Kooperman, Michael S Pritchard, Melissa A Burt   +2 more
exaly   +2 more sources

A framework for variational data assimilation with superparameterization [PDF]

Nonlinear Processes in Geophysics, 2015
Superparameterization (SP) is a multiscale computational approach wherein a large scale atmosphere or ocean model is coupled to an array of simulations of small scale dynamics on periodic domains embedded into the computational grid of the large scale ...
Ian Grooms
exaly   +2 more sources

A study of reduced numerical precision to make superparameterization more competitive using a hardware emulator in the OpenIFS model

Journal of Advances in Modeling Earth Systems, 2017
The use of reduced numerical precision to reduce computing costs for the cloud resolving model of superparameterized simulations of the atmosphere is investigated. An approach to identify the optimal level of precision for many different model components
Peter D Duben, Aneesh C Subramanian, Andrew Dawson   +2 more
exaly   +2 more sources

Global Effects of Superparameterization on Hydrothermal Land‐Atmosphere Coupling on Multiple Timescales

Journal of Advances in Modeling Earth Systems, 2018
Many conventional General Circulation Models (GCMs) in the Global Land‐Atmosphere Coupling Experiment (GLACE) tend to produce what is now recognized as overly strong land‐atmosphere (L‐A) coupling.
Hongchen Qin, Michael S Pritchard, Gabriel J Kooperman   +2 more
exaly   +2 more sources

Towards multiscale modeling of ocean surface turbulent mixing using coupled MPAS-Ocean v6.3 and PALM v5.0 [PDF]

Geoscientific Model Development, 2021
A multiscale modeling approach for studying the ocean surface turbulent mixing is explored by coupling an ocean general circulation model (GCM) MPAS-Ocean with the Parallelized Large Eddy Simulation Model (PALM).
Q. Li, L. Van Roekel
doaj   +1 more source