Tracking Tropical Cloud Systems—observations for the Diagnosis of Simulations by the Weather Research and Forecasting (WRF) Model

Andrew Vogelmann Brookhaven National Laboratory
Wuyin Lin Stony Brook University
Alice Cialella Brookhaven National Laboratory
Edward Luke Brookhaven National Laboratory
Michael Jensen Brookhaven National Laboratory
Minghua Zhang Stony Brook University

Category: Modeling

Working Group: Cloud Life Cycle

To aid in improving model parameterizations of clouds and convection, we examine the capability of models, using explicit convection, to simulate the life cycle of tropical cloud systems in the vicinity of the ARM Tropical Western Pacific sites. The cloud life cycle is determined using a satellite cloud-tracking algorithm (Boer and Ramanathan, 1997), and the statistics are compared to those of simulations using the Weather Research and Forecasting (WRF) model. Using New York Blue, a Blue Gene/L supercomputer that is co-operated by Brookhaven and Stony Brook, simulations are run at a resolution comparable to the observations. Initial results suggest a computational paradox where, even though the size of the simulated systems are about half of that observed, their longevities are still similar. The explanation for this seeming incongruity will be explored. Boer, E, and V Ramanathan. 1997. “Lagrangian approach for deriving cloud characteristics from satellite observations and its implications to cloud parameterization.” Journal of Geophysical Research 102: 21,383-21,399.

This poster will be displayed at ASR Science Team Meeting.

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