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DCMIP2016: The Splitting Supercell Test Case.

Authors :
Zarzycki, Colin M.
Jablonowski, Christiane
Kent, James
Lauritzen, Peter H.
Nair, Ramachandran
Reed, Kevin A.
Ullrich, Paul A.
Hall, David M.
Dazlich, Don
Heikes, Ross
Konor, Celal
Randall, David
Harris, Lucas
Giorgetta, Marco
Reinert, Daniel
Kühnlein, Christian
Walko, Robert
Lee, Vivian
Qaddouri, Abdessamad
Tanguay, Monique
Source :
Geoscientific Model Development Discussions; 2018, p1-18, 18p
Publication Year :
2018

Abstract

This paper describes the splitting supercell idealized test case used in the 2016 Dynamical Core Model Intercomparison Project (DCMIP2016). These storms are useful testbeds for global atmospheric models because the horizontal scale of convective plumes is O(1km), emphasizing non-hydrostatic dynamics. The test case simulates a supercell on a reduced radius sphere with nominal resolutions ranging from 4km to 0.5km and is based on the work of Klemp et al. (2015). Models are initialized with an atmospheric environment conducive to supercell formation and forced with a small thermal perturbation. A simplified Kessler microphysics scheme is coupled to the dynamical core to represent moist processes. Reference solutions for DCMIP2016 models are presented. Storm evolution is broadly similar between models, although differences in final solution exist. These differences are hypothesized to result from different numerical discretizations, physics-dynamics coupling, and numerical diffusion. Intramodel solutions generally converge as models approach 0.5km resolution. These results can be used as a reference for future dynamical core evaluation, particularly with the development of non-hydrostatic global models intended to be used in convective-permitting and convective-allowing regimes. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
ATMOSPHERIC models
MICROPHYSICS

Details

Language :
English
ISSN :
19919611
Database :
Complementary Index
Journal :
Geoscientific Model Development Discussions
Publication Type :
Academic Journal
Accession number :
132835430
Full Text :
https://doi.org/10.5194/gmd-2018-156