Abstract Purpose of Review While the increase of computer power mobilizes a part of the
atmospheric modeling community toward models with explicit convection or based on …

The representation of nonlinear subgrid processes, especially clouds, has been a major
source of uncertainty in climate models for decades. Cloud-resolving models better …

Representing unresolved moist convection in coarse‐scale climate models remains one of
the main bottlenecks of current climate simulations. Many of the biases present with …

General circulation models (GCMs) typically have a grid size of 25–200 km.
Parametrizations are used to represent diabatic processes such as radiative transfer and …

Parameterization of subgrid‐scale processes is a major source of uncertainty in global
atmospheric model simulations. Global storm‐resolving simulations use a finer grid (less …

One approach to improving the accuracy of a coarse‐grid global climate model is to add
machine‐learned (ML) state‐dependent corrections to the prognosed model tendencies …

Impacts of model horizontal resolution on sea surface temperature (SST) biases are studied
using high‐resolution (HR) and low‐resolution (LR) simulations with the Community Earth …

A Strong Role for the AMOC in Partitioning Global Energy Transport and Shifting ITCZ Position
in Response to Latitudinally Discrete Solar Forcing in CESM1.2 in: Journal of Climate Volume …

Tropical convective clouds are a crucial component of the Earth's weather and climate
system. However, there are still large uncertainties in model simulations of tropical …

The structure of the east Pacific Intertropical Convergence Zone (ITCZ) as simulated in the
Community Earth System Model version 2 (CESM2) is greatly improved as compared to its …