Results 1 to 10 of about 505 (141)
Regional Superparameterization in a Global Circulation Model Using Large Eddy Simulations [PDF]
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 ...
Fredrik Jansson +2 more
exaly +6 more sources
Efficient stochastic superparameterization for geophysical turbulence [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2013 Efficient computation of geophysical turbulence, such as occurs in the atmosphere and ocean, is a formidable challenge for the following reasons: the complex combination of waves, jets, and vortices; significant energetic backscatter from unresolved small scales to resolved large scales; a lack of dynamical scale separation between large ...
IAN GROOMS
exaly +6 more sources
Global Effects of Superparameterization on Hydrothermal Land‐Atmosphere Coupling on Multiple Timescales [PDF]
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 +2 more
exaly +3 more sources
Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification [PDF]
Entropy, 2018 A conditional Gaussian framework for understanding and predicting complex multiscale nonlinear stochastic systems is developed. Despite the conditional Gaussianity, such systems are nevertheless highly nonlinear and are able to capture the non-Gaussian ...
Nan Chen, Andrew J. Majda
doaj +2 more sources
Evaluating Precipitation Features and Rainfall Characteristics in a Multi‐Scale Modeling Framework [PDF]
Journal of Advances in Modeling Earth Systems, 2020 Cloud and precipitation systems are simulated with a multi‐scale modeling framework (MMF) and compared over the Tropics and Subtropics against the Tropical Rainfall Measuring Mission (TRMM) Radar‐defined Precipitation Features (RPFs) product.
Jiun‐Dar Chern +4 more
doaj +2 more sources
Precipitation extremes under climate change [PDF]
Curr Clim Change Rep, 2015 The response of precipitation extremes to climate change is considered using results from theory, modeling, and observations, with a focus on the physical factors that control the response.
O'Gorman, Paul A.
core +3 more sources
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 +2 more
exaly +2 more sources
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 +2 more
exaly +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 +2 more
exaly +2 more sources
Journal of Advances in Modeling Earth Systems, 2019 The cloud‐permitting model (CPM) of the superparameterized Community Atmosphere Model (SP‐CAM) is a stochastic parameterization. As reported in a companion paper, we have created a variant of SP‐CAM, called MP‐CAM, that uses the averaged feedback of 10 ...
Todd R Jones +2 more
exaly +2 more sources