An unprecedented set of high‐resolution earth system simulations for understanding multiscale interactions in climate variability and change
P Chang, S Zhang, G Danabasoglu… - Journal of Advances …, 2020 - Wiley Online Library
We present an unprecedented set of high‐resolution climate simulations, consisting of a 500‐
year pre‐industrial control simulation and a 250‐year historical and future climate simulation …
year pre‐industrial control simulation and a 250‐year historical and future climate simulation …
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
Modern climate projections lack adequate spatial and temporal resolution due to
computational constraints. A consequence is inaccurate and imprecise predictions of critical …
computational constraints. A consequence is inaccurate and imprecise predictions of critical …
[HTML][HTML] Stable climate simulations using a realistic general circulation model with neural network parameterizations for atmospheric moist physics and radiation …
In climate models, subgrid parameterizations of convection and clouds are one of the main
causes of the biases in precipitation and atmospheric circulation simulations. In recent …
causes of the biases in precipitation and atmospheric circulation simulations. In recent …
Accelerating radiation computations for dynamical models with targeted machine learning and code optimization
Atmospheric radiation is the main driver of weather and climate, yet due to a complicated
absorption spectrum, the precise treatment of radiative transfer in numerical weather and …
absorption spectrum, the precise treatment of radiative transfer in numerical weather and …
Data‐driven super‐parameterization using deep learning: Experimentation with multiscale Lorenz 96 systems and transfer learning
To make weather and climate models computationally affordable, small‐scale processes are
usually represented in terms of the large‐scale, explicitly resolved processes using physics …
usually represented in terms of the large‐scale, explicitly resolved processes using physics …
Separating physics and dynamics grids for improved computational efficiency in spectral element earth system models
WM Hannah, AM Bradley, O Guba… - Journal of Advances …, 2021 - Wiley Online Library
Previous studies have shown that atmospheric models with a spectral element grid can
benefit from putting physics calculations on a relatively coarse finite volume grid. Here we …
benefit from putting physics calculations on a relatively coarse finite volume grid. Here we …
Mesoscale convective systems in a superparameterized E3SM simulation at high resolution
Accurately representing mesoscale convective systems (MCSs) is crucial to simulating the
energy and water cycles in global climate models. Using a novel MCS identification and …
energy and water cycles in global climate models. Using a novel MCS identification and …
Unprecedented cloud resolution in a gpu-enabled full-physics atmospheric climate simulation on olcf's summit supercomputer
Clouds represent a key uncertainty in future climate projection. While explicit cloud
resolution remains beyond our computational grasp for global climate, we can incorporate …
resolution remains beyond our computational grasp for global climate, we can incorporate …
[HTML][HTML] RCEMIP-II: mock-Walker simulations as phase II of the radiative–convective equilibrium model intercomparison project
The radiative–convective equilibrium (RCE) model intercomparison project (RCEMIP)
leveraged the simplicity of RCE to focus attention on moist convective processes and their …
leveraged the simplicity of RCE to focus attention on moist convective processes and their …
On the regionality of moist Kelvin waves and the MJO: The critical role of the background zonal flow
A global model with superparameterized physics is used to shed light on the observed
regionality of convectively coupled Kelvin waves and the Madden‐Julian Oscillation (MJO) …
regionality of convectively coupled Kelvin waves and the Madden‐Julian Oscillation (MJO) …