296664 Synthetic G0ES-13 3.9 µm Imagery of the new P3 microphysics in WRF-ARW

Monday, 15 August 2016
Grand Terrace (Monona Terrace Community and Convention Center)
Lewis D. Grasso, Cooperative Institute for Research in the Atmosphere/Colorado State Univ., Fort Collins, CO; and D. T. Lindsey, F. Kong, H. Morrison, and J. milbrandt

In general, microphysical options in WRF-ARW predict certain characteristics of condensed water. One characteristic is the prediction of one-moment for all habits or two-moments for all habits or a mixture of one- and two-moments for some habits. In each case, however, such predictions are made for individual habit categories: cloud water, rain water, graupel, snow, and ice. Synthetic imagery is them made by using the mass mixing ratio and particle size of each of the five distinct habit types. A new microphysical scheme in WRF-ARW has been developed and departs significantly from the prediction of distinct ice habit types.

As opposed the prediction of certain characteristics of distinct habit types, the P3 scheme predicts characteristics of cloud water, rain water, and frozen water. Our poster will discuss the decomposition methodology that was used to diagnose gaupel, snow, and ice habit categories for the purpose of making synthetic GOES-13 imagery. Several examples will be displayed on our poster.

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