Coupling Cloud Processes with the Large-Scale Dynamics Using the Cloud-Resolving Convection Parameterization (CRCP)

By Wojciech W. Grabowski. 2001

497 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/ded3179bfe939090a5e499b86b02283715ea980c

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In Atmospheric Science

In Global and Planetary Change

Citations in the corpus

Madden‐Julian Oscillation (2005, methodology): “[54] Isolated convection tended to gather and form eastward propagating large cloud clusters in an idealized largescale model when its traditional cumulus parameterization is replaced with a two-dimensional cloud-resolving model at each grid point [Grabowski, 2001, 2003].”
Multiscale Convective Organization and the YOTC Virtual Global Field Campaign (2012, methodology): “In superparameterization, cloud-system-resolving models are used in place of conventional parameterizations of convection and the planetary boundary layer in each grid cell of the parent global model (e.g., Grabowski 2001; Khairoutdinov et al. 2005; Tao et al. 2009).”
Structure of the Madden-Julian Oscillation in the Superparameterized CAM (2009, background): “One approach to bypassing this limitation is to replace certain conventional parameterizations with cloud-resolving models (CRMs; Grabowski and Smolarkiewicz 1999; Grabowski 2001), a technique termed ‘‘superparameterization’’ (Khairoutdinov and Randall 2001).”
Global‐scale convective aggregation: Implications for the Madden‐Julian Oscillation (2015, methodology): “…convection parameterizations are replaced with cloud-system-resolving models (CSRMs) embedded in each GCM grid column, so that convective temperature and humidity tendencies and cloud and rainfall statistics are generated by explicit simulation [Khairoutdinov and Randall, 2001; Grabowski, 2001].”
Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics (2012, unknown): “Furthermore, CSRMs are now being utilized as higher-resolution models embedded within coarser-resolution general circulation models [i.e., the multiscale modeling framework or ‘‘superparameterization’’ (e.g., Grabowski 2001; Randall et al. 2003)].”
Simulations of the Atmospheric General Circulation Using a Cloud-Resolving Model as a Superparameterization of Physical Processes (2005, unknown): “The approach, first suggested and implemented by Grabowski (2001), is a compromise between the “parameterize-everything” and “resolve-everything” pathways (Arakawa 2004) to global climate modeling.”
Confronting Models with Data: The Gewex Cloud Systems Study (2003, unknown): “This trend toward dealing more explicitly with cloud-scale processes has been carried to its limit in the recent successful use of CSRMs as “superparameterizations” in GCMs (Grabowski and Smolarkiewicz 1999; Grabowski 2001; Khairoutdinov and Randall, 2001; Randall et al. 2003, manuscript submitted”
Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, background): “The need to improve the representation of convection in large-scalemodels has led to the idea of the “superparameterization” of small-scale and mesoscale processes in large-scale models and GCMs [Grabowski and Smolarkiewicz, 1999; Grabowski, 2001; Khairoutdinov and Randall, 2001; Khairoutdinov et al”
A mass-flux cumulus parameterization scheme for large-scale models: description and test with observations (2012, background): “In addition to ‘traditional’ convection parameterizations, a cloud-resolving approach (also called ‘‘super-parameterization’’) was proposed by Grabowski (Grabowski and Smolarkiewicz 1999; Grabowski 2001) that would be another pathway to solve the cumulus problem.”
A global cloud‐resolving simulation: Preliminary results from an aqua planet experiment (2005, background): “These uncertainties are reduced in ‘‘the cloud-resolving convection parameterization’’ (or ‘‘super-parameterization’’) [Grabowski, 2001] that embeds a two-dimensional (2D) cloud-resolving model (CRM) at each grid box, which interacts with large-scale motions in the AGCM [Randall et al., 2003;…”
Cloud ice: A climate model challenge with signs and expectations of progress (2007, methodology): “…GCM. [31] In what is now commonly referred to as the multiscale modeling framework (MMF; also known as ''super parameterization''), the conventional cloud parameterizations are replaced with a CRM in each host GCM grid column [Grabowski, 2001; Khairoutdinov and Randall, 2001; Randall et al., 2003].”
Cloud Feedbacks in the Climate System: A Critical Review (2005, methodology): “…integrations reported are also mainly for CRMs set on a 2D domain representing a vertical slice through the atmosphere (Held et al. 1993; Sui et al. 1994; Grabowski 2001) whereas the 3D model experiments performed by Tompkins and Craig (1998) were, necessarily, set on a more limited domain.”