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<br />and often produces more intense areas of <br />precipitation focused over relatively small areas. <br />The dynamical impact of hail upon the storm is <br />often significant, because it produces locally <br />higher hydrometeor contents that result in <br />negative buoyancies and locally intense <br />downdrafts. These effects can only be adequately <br />resolved within a non hydrostatic model of <br />sufficiently high resolution. <br /> <br />But what happens if hail is not observed? In <br />fact, the presence of hail is the exception rather <br />than the rule, because it takes special <br />environmental conditions to support the formation <br />of hail in storms, namely high convective available <br />potential instabilities (CAPE), in order to support <br />the presence of strong updrafts needed to <br />transport large, ice particles upward. In fact, <br />TRMM observations of lightning and passive- <br />microwave brightness temperatures over the <br />global tropics are consistent with the absence of <br />large ice over the oceans (e.g., Toracinta et al., <br />2002). <br /> <br />In the microphysical scheme of Rutledge and <br />Hobbs (1983, 1984; hereafter RH), which has <br />more similarities to LFO in its formulation than <br />differences, the large, heavily-rimed ice are <br />assumed to have the characteristics of "graupel" <br />based on observations over the Pacific Northwest <br />(Locatelli and Hobbs, 1974). The graupel (or "soft <br />hail") in RH has a density that is half that in LFO, <br />is much smaller in size, and has fall speeds of 2-4 <br />m 5.1. For example, a graupel content of 1 g m.3 <br />would have a mean size of -0.7 mm in RH and <br />-1.7 mm in LFO, and a fall velocity near sea level <br />of -2.4 m S.1 in RH and -8.2 m S.1 in LFO. The <br />fall speeds of graupel in RH also are similar to <br />what Heymsfield (1978) documented for Colorado <br />congestus clouds. . <br /> <br />To those unfamiliar with cloud-resolving <br />models, such differences in the properties of <br />large, rimed ice may appear to be an esoteric <br />detail. But whether the large ice has <br />characteristics of graupel or hail can have a large <br />impact on the dynamical structure of simulated <br />convection. The reason is that the simulated <br />particle trajectories of graupel and hail can be <br />quite different locally within a convective storm, <br />impacting the duration and intensity of the <br />convective updrafts, where downdrafts are <br />initiated, and their strength and areal extent. In <br />20 model simulations of squall systems using the <br />Goddard Cumulus Ensemble (GCE) model (Tao <br /> <br />and Simpson, 1993), we found that the downdrafts <br />tended to be locally weaker but extend over a <br />larger area when the large ice was treated as <br />graupel (McCumber et a/., 1991; Ferrier et a/., <br />1995, 1996). <br /> <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br />I <br /> <br />The cool pools are typically warmer in the <br />"hail" runs, the updrafts are oriented more in the <br />vertical, and the cool-pool generated vorticity is <br />typically smaller (Rotunno et al., 1988). These <br />storm characteristics are consistent with hail falling <br />rapidly out of strong updrafts, making the storm- <br />scale updraft and downdraft circulations smaller in <br />horizontal scale and more upright in orientation. <br />The buoyancy (or thermodynamic) contribution to <br />the upward pressure perturbation force was larger <br />in the graupel runs (I.e., higher pressures near the <br />surface, lower pressures aloft), counteracting the <br />larger negative buoyancies that formed in the <br />downdrafts, and thus reducing the downward <br />accelerations and the adiabatic warming <br />associated with the subsidence. It's as though the <br />squall convection simulated with graupel spans a <br />larger area and possesses more of a hydrostatic <br />behavior within the cold pool (i.e., an approximate <br />balance between the upward pressure gradient <br />force and downward buoyancy). This usually <br />resulted in more rapid upscale growth with the <br />convective updrafts tilting over the cold pool <br />("upshear" tilt counter to the low-level shear vector) <br />and becoming quasi-steady in evolution. Some of <br />the hail runs would not evolve into a quasi-steady, <br />upshear-tilted squall system, and when they did it <br />was with some reluCtance. Those storms that <br />would not tilt upshear would almost always <br />eventually dissipate (this could be a positive <br />result). <br /> <br />There are other improvements that have been <br />made to the basic SOSMT bulk microphysical <br />model, which I will only be able to give an <br />incomplete (and possibly personally' biased) <br />account. Again, going back to Rutledge and <br />Hobbs (RH), they added .a formulation for the <br />conversion of snow to graupel through rapid cloud- <br />water riming, which was added to the SOSMT <br />model by Farley et al. (1989). Though this was <br />probably an improvement, this process tended to <br />convert all of the snow to graupel almost <br />instantaneously. Krueger et a/. (1995) proposed <br />reasonable improvements in treating Bergeron <br />growth of small ice crystals at the expense of cloud <br />water to produce snow. These changes led to <br />thicker, more extensive anvils that agreed better <br />with satellite observations. <br /> <br />6 <br />