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GEST Highlight: Modeling Diurnal Cycle of Warm-Season Precipitation in GCMs<br />

Myong-In Lee<br />

45<br />

CODE 610.1<br />

Figure: Amplitude and maximum phase of the diurnal cycle of summertime precipitation from (a) the<br />

observations (HPD, 1983–2002) and (b–f) the model simulations with different convection trigger<br />

functions. Arrow length indicates the amplitude (mm d -1 ), and the direction indicates the peak timing of<br />

precipitation in a day in local time. Adapted from Lee et al. (2008).<br />

The diurnal cycle of precipitation is a fundamental component of the warm season climate of the<br />

continental United States; however, it still remains a difficult test for General Circulation Models<br />

(GCMs), where most of them fail to capture the strong signal of nocturnal precipitation over the<br />

Midwest/Great Plains. This indicates our lack of understanding to the governing processes that drive the<br />

continental nocturnal convection. Using a series of GCM sensitivity experiments, it was found that the<br />

modeled diurnal cycle is highly sensitive to the changes in the parameterization of deep convection,<br />

particularly to the convective trigger functions (see Figure above), which are implemented to define<br />

certain conditions to initiate deep convection. Based on a subsequent analysis, it was found that the GCM<br />

result supports the hypothesis on the observed diurnal convection mechanism. Convection appears to be<br />

quite suppressed in the daytime in the contenental inland regions, such as the Great Plains, where the<br />

relatively dry PBL air causes large convective inhibition and an elevation of the LFC. On the other hand,<br />

nocturnal convection can develop, even at the presence of large nocturnal cooling in the boundary layer,<br />

through the free-atmospheric destablization process. Eastward propagating, mesoscale convective systems<br />

from the Rockies might play a significant role in triggering deep convection over the region. This process<br />

is qualitatively consistent with the Atmospheric Radiation Measurement (ARM) sounding observations<br />

over the Great Plains.

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