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Advanced Research WRF (ARW) Technical Note - MMM - University ...

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and it is the water vapor and total condensate that are advected in the model. Local storage arrays<br />

retain first-guess information that extract contributions of cloud water, rain, cloud ice, and<br />

precipitation ice of variable density in the form of snow, graupel, or sleet. The density of precipitation<br />

ice is estimated from a local array that stores information on the total growth of ice by<br />

vapor deposition and accretion of liquid water. Sedimentation is treated by partitioning the timeaveraged<br />

flux of precipitation into a grid box between local storage in the box and fall out through<br />

the bottom of the box. This approach, together with modifications in the treatment of rapid<br />

microphysical processes, permits large time steps to be used with stable results. The mean size<br />

of precipitation ice is assumed to be a function of temperature following the observational results<br />

of Ryan (1996). Mixed-phase processes are now considered at temperatures warmer than -30 ◦ C<br />

(previously -10 ◦ C), whereas ice saturation is assumed for cloudy conditions at colder temperatures.<br />

Further description of the scheme can be found in Sec. 3.1 of the November 2001 <strong>Technical</strong><br />

Procedures Bulletin (TPB) at http://www.emc.ncep.noaa.gov/mmb/mmbpll/eta12tpb/ and on<br />

the COMET page at http://meted.ucar.edu/nwp/pcu2/etapcp1.htm.<br />

8.1.7 Thompson et al. scheme<br />

The Thompson et al. (2004) microphysical parameterization scheme includes improvements to<br />

the earlier bulk scheme of Reisner et al. (1998) and has been extensively tested and compared<br />

with both idealized case studies and documented real case studies of mid-latitude wintertime<br />

observations. The scheme includes six classes of moisture species plus number concentration<br />

for ice as prognostic variables. The scheme was designed to improve the prediction of freezing<br />

drizzle events for aircraft safety warnings. Generally microphysical parameterizations have had<br />

problems of overpredicting the amount of snow and graupel fields and under predicting the ice<br />

in outflow regions and often not accurately predicting freezing drizzle. Key improvements are<br />

the following:<br />

• Primary ice nucleation as in Cooper (1986), replaces the Fletcher (1962) curve.<br />

• Auto-conversion as in Walko et al. (1995), replaces the Kessler (1969) scheme.<br />

• A generalized gamma distribution for graupel replaces the exponential distribution.<br />

• The associated intercept parameter depends on mixing ratio instead of remaining constant.<br />

• Riming growth of snow must exceed depositional growth of snow by a factor of 3 before<br />

rimmed snow transfers into the graupel category.<br />

• The intercept parameter of the snow size distribution depends on temperature.<br />

• The intercept parameter for the rain size distribution depends on rain mixing ratio, thereby<br />

simulating the fall velocity of drizzle drops as well as raindrops.<br />

8.2 Cumulus parameterization<br />

These schemes are responsible for the sub-grid-scale effects of convective and/or shallow clouds.<br />

The schemes are intended to represent vertical fluxes due to unresolved updrafts and downdrafts<br />

and compensating motion outside the clouds. They operate only on individual columns where<br />

the scheme is triggered and provide vertical heating and moistening profiles. Some schemes<br />

additionally provide cloud and precipitation field tendencies in the column, and future schemes<br />

54

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