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Arindam Chakraborty and T. N. Krishnamurti

eastern foothills of the Himalayas. The coherent temporal and geographical variations of the diurnal mode of convection, cloudiness, and circulation makes it a good test bed for the validation of numerical model forecasts ( Yang and Slingo 2001 ; Dai and Trenberth 2004 ). In this study we address the issue of modeling the diurnal mode of the Asian summer monsoon. This is a sequel to two recent papers on diurnal change of precipitation and cloudiness over the tropics ( Krishnamurti et al. 2007

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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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Alex C. Ruane and John O. Roads

levels (T62L28). Vertically integrated variables (e.g., precipitable water) are calculated from their comprehensive model values to prevent interpolation errors. The model output examined here covers 2002–04 and was generated as part of the Experimental Climate Prediction Center’s contribution to the Coordinated Enhanced Observing Period (CEOP; Koike 2004 ; Lawford et al. 2006 ). This time period also facilitates comparisons with the precipitation sets examined in RR07b . Augmented 6-h forecasts

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Song Yang and Eric A. Smith

and an overall better understanding of the mechanisms controlling rainfall’s diurnal variability. The ultimate goals of this special issue are to help bring about improvements in quantitative precipitation forecasting (QPF), in understanding the role of diurnal precipitation variability in the earth’s water and energy cycles, and in predicting future states of weather and climate.

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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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R. E. Carbone and J. D. Tuttle

K. E. Trenberth , 2004 : The diurnal cycle and its depiction in the Community Climate System Model. J. Climate , 17 , 930 – 951 . Davis , C. A. , K. W. Manning , R. E. Carbone , S. B. Trier , and J. D. Tuttle , 2003 : Coherence of warm-season continental rainfall in numerical weather prediction models. Mon. Wea. Rev. , 131 , 2667 – 2679 . Fritsch , J. M. , and R. E. Carbone , 2004 : Research and development to improve quantitative precipitation forecasts in the

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