Convective self-aggregation in numerical simulations: A review
Organized convection in the tropics occurs across a range of spatial and temporal scales
and strongly influences cloud cover and humidity. One mode of organization found is ''self …
and strongly influences cloud cover and humidity. One mode of organization found is ''self …
Global energetics and local physics as drivers of past, present and future monsoons
Global constraints on momentum and energy govern the variability of the rainfall belt in the
intertropical convergence zone and the structure of the zonal mean tropical circulation. The …
intertropical convergence zone and the structure of the zonal mean tropical circulation. The …
Could machine learning break the convection parameterization deadlock?
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 …
the main bottlenecks of current climate simulations. Many of the biases present with …
Overview of the Meso-NH model version 5.4 and its applications
C Lac, JP Chaboureau, V Masson… - Geoscientific Model …, 2018 - gmd.copernicus.org
This paper presents the Meso-NH model version 5.4. Meso-NH is an atmospheric non
hydrostatic research model that is applied to a broad range of resolutions, from synoptic to …
hydrostatic research model that is applied to a broad range of resolutions, from synoptic to …
A perspective on climate model hierarchies
To understand Earth's climate, climate modelers employ a hierarchy of climate models
spanning a wide spectrum of complexity and comprehensiveness. This essay, inspired by …
spanning a wide spectrum of complexity and comprehensiveness. This essay, inspired by …
Model hierarchies for understanding atmospheric circulation
In this review, we highlight the complementary relationship between simple and
comprehensive models in addressing key scientific questions to describe Earth's …
comprehensive models in addressing key scientific questions to describe Earth's …
Achieving conservation of energy in neural network emulators for climate modeling
Artificial neural-networks have the potential to emulate cloud processes with higher
accuracy than the semi-empirical emulators currently used in climate models. However …
accuracy than the semi-empirical emulators currently used in climate models. However …
Assessing the potential of deep learning for emulating cloud superparameterization in climate models with real‐geography boundary conditions
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 …
superparameterization in realistic geography, using offline fits to data from the …
The basic equations under weak temperature gradient balance: Formulation, scaling, and types of convectively coupled motions
ÁF Adames - Journal of the Atmospheric Sciences, 2022 - journals.ametsoc.org
The weak temperature gradient (WTG) approximation is extended to the basic equations on
a rotating plane. The circulation is decomposed into a diabatic component that satisfies WTG …
a rotating plane. The circulation is decomposed into a diabatic component that satisfies WTG …
A short review of numerical cloud-resolving models
F Guichard, F Couvreux - Tellus A: Dynamic Meteorology and …, 2017 - Taylor & Francis
A cloud-resolving model (CRM) allows performing numerical simulations of convective
clouds, such as shallow cumulus and stratocumulus, or storms and squall-lines with a …
clouds, such as shallow cumulus and stratocumulus, or storms and squall-lines with a …