Global cloud-resolving models
Abstract Purpose of Review Global cloud-resolving models (GCRMs) are a new type of
atmospheric model which resolve nonhydrostatic accelerations globally with kilometer-scale …
atmospheric model which resolve nonhydrostatic accelerations globally with kilometer-scale …
Cloud microphysics in global cloud resolving models
Global cloud resolving models (GCRMs) are a new type of general circulation model that
explicitly calculates the growth of cloud systems with fine spatial resolutions and more than …
explicitly calculates the growth of cloud systems with fine spatial resolutions and more than …
The non-hydrostatic global atmospheric model for CMIP6 HighResMIP simulations (NICAM16-S): Experimental design, model description, and sensitivity experiments
NICAM, a nonhydrostatic global atmospheric model with an icosahedral grid system, has
been developed for nearly two decades. This paper describes NICAM16-S, the latest stable …
been developed for nearly two decades. This paper describes NICAM16-S, the latest stable …
[HTML][HTML] Aerosol effects on deep convection: the propagation of aerosol perturbations through convective cloud microphysics
M Heikenfeld, B White, L Labbouz… - … Chemistry and Physics, 2019 - acp.copernicus.org
The impact of aerosols on ice-and mixed-phase processes in deep convective clouds
remains highly uncertain, and the wide range of interacting microphysical processes is still …
remains highly uncertain, and the wide range of interacting microphysical processes is still …
[HTML][HTML] Processes controlling tropical tropopause temperature and stratospheric water vapor in climate models
SC Hardiman, IA Boutle, AC Bushell… - Journal of …, 2015 - journals.ametsoc.org
Baran, AJ, P. Hill, K. Furtado, P. Field, and J. Manners, 2014: A coupled cloud physics–
radiation parameterization of the bulk optical properties of cirrus and its impact on the Met …
radiation parameterization of the bulk optical properties of cirrus and its impact on the Met …
[HTML][HTML] Evaluations of the thermodynamic phases of clouds in a cloud-system-resolving model using CALIPSO and a satellite simulator over the Southern Ocean
W Roh, M Satoh, T Hashino… - Journal of the …, 2020 - journals.ametsoc.org
Evaluations of the Thermodynamic Phases of Clouds in a Cloud-System-Resolving Model Using
CALIPSO and a Satellite Simulator over the Southern Ocean in: Journal of the Atmospheric …
CALIPSO and a Satellite Simulator over the Southern Ocean in: Journal of the Atmospheric …
Roles of cloud microphysics on cloud responses to sea surface temperatures in radiative‐convective equilibrium experiments using a high‐resolution global …
The high‐cloud amount responses to sea surface temperature (SST) changes were
investigated based on simulations with radiative‐convective equilibrium configuration using …
investigated based on simulations with radiative‐convective equilibrium configuration using …
Fine vertical resolution radiative‐convective equilibrium experiments: Roles of turbulent mixing on the high‐cloud response to sea surface temperatures
In this study, the vertical resolution dependency of the high‐cloud fraction response on the
increase in sea surface temperature was investigated via radiative‐convective equilibrium …
increase in sea surface temperature was investigated via radiative‐convective equilibrium …
Toward reduction of the uncertainties in climate sensitivity due to cloud processes using a global non-hydrostatic atmospheric model
In estimates of climate sensitivity obtained from global models, the need to represent clouds
introduces a great deal of uncertainty. To address this issue, approaches using a high …
introduces a great deal of uncertainty. To address this issue, approaches using a high …
Recent global nonhydrostatic modeling approach without using a cumulus parameterization to understand the mechanisms underlying cloud changes due to global …
Clouds are the primary source of uncertainty in the prediction of climate change. To reduce
the uncertainty of cloud simulations and overcome this difficulty in prediction, many climate …
the uncertainty of cloud simulations and overcome this difficulty in prediction, many climate …