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  • Climate classification/regimes x
  • Understanding Diurnal Variability of Precipitation through Observations and Models (UDVPOM) x
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Song Yang and Eric A. Smith

type classification algorithm. Measuring Precipitation from Space: EURAINSAT and the Future, V. Levizzani, P. Bauer, and F. J. Turk, Eds., Springer, 213–224 . Berg , W. , C. Kummerow , and C. Morales , 2002 : Differences between east and west Pacific rainfall systems. J. Climate , 15 , 3659 – 3672 . Betts , A. K. , 1982 : Saturation point analysis of moist convective overturning. J. Atmos. Sci. , 39 , 1484 – 1505 . Dai , A. , 2001 : Global precipitation and thunderstorm

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R. Cifelli, S. W. Nesbitt, S. A. Rutledge, W. A. Petersen, and S. Yuter

to compare the distribution of cloud top temperatures to the RHB radar statistics. a. Sub-MCS-only regime classification It was of interest to examine the diurnal cycle of both thermodynamic and radar characteristics during the entire course of the field experiments as well as within time periods of relatively unorganized activity. In this study, time intervals in which the TAO buoy data indicated relatively light winds (≤3.5 m s −1 ) and the radar data indicated a lack of large

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Song Yang, Kwo-Sen Kuo, and Eric A. Smith

properties of precipitation at a global scale The distribution of the 8-yr mean TRMM-based diurnal precipitation cycle over oceans and continents depicts a distinct climate feature on the global scale. Figure 1 shows the climate characteristics of diurnal variability from TMI-only, PR-only, and combined PR–TMI rain retrievals. This diagram clearly shows that the diurnal precipitation cycles from the three TRMM rain products are consistent in terms of amplitude and phase over oceans and in phase over

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