A stochastic parametrization for deep convection using cellular automata
L Bengtsson, M Steinheimer… - Quarterly Journal of …, 2013 - Wiley Online Library
A cellular automaton (CA) is introduced to the deep convection parametrization of the high‐
resolution limited‐area model Aire Limitée Adaptation/Application de la Recherche à …
resolution limited‐area model Aire Limitée Adaptation/Application de la Recherche à …
[HTML][HTML] Stochastic behavior of tropical convection in observations and a multicloud model
Stochastic Behavior of Tropical Convection in Observations and a Multicloud Model in: Journal
of the Atmospheric Sciences Volume 70 Issue 11 (2013) Jump to Content Jump to Main …
of the Atmospheric Sciences Volume 70 Issue 11 (2013) Jump to Content Jump to Main …
Stochastic convective parameterization improving the simulation of tropical precipitation variability in the NCAR CAM5
Abstract The Plant‐Craig (PC) stochastic convective parameterization scheme is
implemented into the National Center for Atmospheric Research Community Atmosphere …
implemented into the National Center for Atmospheric Research Community Atmosphere …
[HTML][HTML] Physically based stochastic perturbations (PSP) in the boundary layer to represent uncertainty in convective initiation
K Kober, GC Craig - Journal of the Atmospheric Sciences, 2016 - journals.ametsoc.org
Physically Based Stochastic Perturbations (PSP) in the Boundary Layer to Represent
Uncertainty in Convective Initiation in: Journal of the Atmospheric Sciences Volume 73 …
Uncertainty in Convective Initiation in: Journal of the Atmospheric Sciences Volume 73 …
Different representation of mesoscale convective systems in convection-permitting and convection-parameterizing NWP models and its implications for large-scale …
Representing mesoscale convective systems (MCSs) and their multi-scale interaction with
the large-scale atmospheric dynamics is still a major challenge in state-of-the-art global …
the large-scale atmospheric dynamics is still a major challenge in state-of-the-art global …
Empirical values and assumptions in the convection schemes of numerical models
A Villalba-Pradas, FJ Tapiador - Geoscientific Model …, 2022 - gmd.copernicus.org
Convection influences climate and weather events over a wide range of spatial and
temporal scales. Therefore, accurate predictions of the time and location of convection and …
temporal scales. Therefore, accurate predictions of the time and location of convection and …
Metrics for evaluating CMIP6 representation of daily precipitation probability distributions
C Martinez-Villalobos, JD Neelin… - Journal of …, 2022 - journals.ametsoc.org
The performance of GCMs in simulating daily precipitation probability distributions is
investigated by comparing 35 CMIP6 models against observational datasets (TRMM-3B42 …
investigated by comparing 35 CMIP6 models against observational datasets (TRMM-3B42 …
Global climate impacts of stochastic deep convection parameterization in the NCAR CAM 5
Y Wang, GJ Zhang - Journal of Advances in Modeling Earth …, 2016 - Wiley Online Library
In this study, the stochastic deep convection parameterization of Plant and Craig (PC) is
implemented in the Community Atmospheric Model version 5 (CAM5) to incorporate the …
implemented in the Community Atmospheric Model version 5 (CAM5) to incorporate the …
[HTML][HTML] Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1. 0 atmosphere …
A stochastic deep convection parameterization is implemented into the US Department of
Energy (DOE) Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1.0 …
Energy (DOE) Energy Exascale Earth System Model (E3SM) Atmosphere Model version 1.0 …