Journal article

Statistical assessment of tropical convection-permitting model simulations using a cell-tracking algorithm

S Caine, TP Lane, PT May, C Jakob, ST Siems, MJ Manton, J Pinto

Monthly Weather Review | American Meteorological Society | Published : 2013

Abstract

This study presents a method for comparing convection-permitting model simulations to radar observations using an innovative object-based approach. The method uses the automated cell-tracking algorithm, Thunderstorm Identification Tracking Analysis and Nowcasting (TITAN), to identify individual convective cells and determine their properties. Cell properties are identified in the same way for model and radar data, facilitating comparison of their statistical distributions. The method is applied to simulations of tropical convection during the Tropical Warm Pool-International Cloud Experiment (TWP-ICE) using the Weather Research and Forecasting Model, and compared to data from a ground-based ..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Awarded by Australian Research Council Centre for Excellence for Climate System Science


Funding Acknowledgements

The National Center for Atmospheric Research is sponsored by the National Science Foundation. Thanks to Greg Thompson (NCAR) for providing his radar reflectivity conversion algorithm. The reflectivity conversion algorithm used to convert the Lin microphysics data to radar reflectivity was obtained from Read/Interpolate/Plot (RIP) graphics package. This work was funded in part by the Australian Research Council's Discovery (DP0770381) and Future Fellowships (FT0990892) programs, and by the Australian Research Council Centre for Excellence for Climate System Science (CE110001028). Computing facilities were provided by the Victorian Partnership for Advanced Computing (VPAC) and the National Computational Infrastructure facility (NCI). ECMWF ERA-Interim data used in this study were obtained from the ECMWF data