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T. N. Krishnamurti, C. Gnanaseelan, A. K. Mishra, and A. Chakraborty

1. Introduction This is a sequel to a number of recent studies on multimodel forecast performances where different physical parameterizations are carried out by different member models. Krishnamurti and Sanjay (2003) utilized six different cumulus parameterization schemes in the Florida State University (FSU) global spectral model (FSUGSM). About 100 short-range numerical prediction experiments were performed with each of the six models. In all of these experiments, the model physics (except

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Arindam Chakraborty and T. N. Krishnamurti

Coauthors , 2000 : The status of the Tropical Rainfall Measuring Mission (TRMM) after two years in orbit. J. Appl. Meteor. , 39 , 1965 – 1982 . Mishra , A. K. , and T. N. Krishnamurti , 2007 : Current status of multimodel superensemble and operational NWP forecast of the Indian summer monsoon. J. Earth Syst. Sci. , 116 , 369 – 384 . Pleim , J. E. , and A. Xiu , 1995 : Development and testing of a surface flux and planetary boundary layer model for application in mesoscale models

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R. E. Carbone and J. D. Tuttle

1. Introduction Many aspects of the earth’s water cycle are not well understood and precipitation is not well simulated by climate system models. Convective precipitation is especially problematic, including convection organized at the large mesoscale. Numerous studies have employed diurnal variability as a framework from which to improve the understanding of water cycle forcings and to serve as a benchmark for new representations in models. This study examines the diurnal cycle of warm

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J. Li, S. Sorooshian, W. Higgins, X. Gao, B. Imam, and K. Hsu

Prediction (NCEP) Eta Model (48-km horizontal resolution) and found that diurnal variations over the SMO were weaker than the satellite estimates. He argued that these differences were reasonable because the satellite rainfall estimates were based on the maximum instantaneous rainfall in the afternoon, while the model forecast was integrated over time. The arguments above motivate the need for high spatial and temporal resolution ground-based observations to validate both modeled and satellite

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