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Improved Convection Parameterization for Low Clouds in the WRF Model

This study introduces a new convective parameterization for the IPRC regional Atmospheric Model (iRAM), derived from the Tiedtke scheme, aiming to enhance the simulation of low cloud decks over subtropical oceans. Implemented in the WRF model, this scheme demonstrated significant improvements in accuracy, particularly in simulating low clouds off the west coast of South America. The analysis compared the performance of this new parameterization with three standard options in WRF, showcasing its effectiveness in representing cloud-water mixing ratios and virtual potential temperature under varying conditions.

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Improved Convection Parameterization for Low Clouds in the WRF Model

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  1. IPRC Convection Scheme in the WRF Model C. Zhang, Y. Wang, and K. Hamilton (Monthly Weather Review, 2011) Simulating the extensive low clouds over the world’s subtropical oceans has been a particular challenge for numerical climate models. A new parameterization derived from the Tiedtke convective scheme was developed for the IPRC regional Atmospheric Model (iRAM). When this new scheme was implemented in the widely used community Weather Research and Forecasting (WRF) model, results showed that the IPRC scheme produces much more realistic simulations of the extensive low cloud decks off the west coast of South America than three other schemes offered as standard options in WRF. IPRC scientists were therefore invited to implement their scheme into the latest official community version of WRF (version 3.3 released April 2011). The cloud-water mixing ratio (shading) and virtual potential temperature (contours, K) in a section along 20°S, averaged over 5 days during October 2008 simulated by the WRF model with different convection parameterizations: (a) the IPRC parameterization derived from the Tiedtke scheme, (b) the Kain-Frisch scheme, (c) the Betts-Miller-Janjic scheme, (d) the simplified Arakawa-Schubert scheme. The thick contours outline regions of high static stability.

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