Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

Version 1 Next »

Full Title

Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF) approach

First Author

All Authors

Joao Teixeira (JPL/UCLA)

Mikael Witte (NPS/UCLA/JPL)

Marcin Kurowski (JPL)

Kay Suselj (UCLA)

Georgios Matheou (UConn)

Peter Bogenschutz (LLNL)

Topic

Atmosphere

Project

E3SM

Abstract

Parameterized boundary layer turbulence and moist convection remain some of the largest sources of uncertainty in general circulation models. High-resolution climate modeling aims to reduce that uncertainty by explicitly attempting to resolve deep moist convective motions. An example of such a model is the Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM) with a target global resolution of 3.25 km, allowing for a more accurate representation of complex mesoscale deep convective dynamics. Yet, small-scale planetary boundary layer turbulence and shallow convection still need to be parameterized, which in SCREAM is accomplished through the turbulent-kinetic-energy-based (TKE-based) simplified higher-order closure (SHOC) – a simplified version of the assumed-double-Gaussian-PDF (probability density function) higher-order closure method. Here, we present the implementation of a stochastic multi-plume mass-flux (MF) parameterization of dry and shallow convection in SCREAM to go beyond the limitations of double-Gaussian-PDF closures and couple it to SHOC (SHOC+MF). The new parameterization implemented in a single-column model-type version of SCREAM produces results for two shallow cumulus convection cases (marine and continental shallow convection) that agree well with the reference data from large-eddy simulations, thus improving the general representation of the thermodynamic quantities and their turbulent fluxes as well as cloud macrophysics in the model.

In-person

yes

Poster

poster

Discussion Link

maria.chinita@jpl.nasa.gov

  • No labels