1. Dan Lindsey Louie Grasso Manajit Sengupta Mark DeMaria Synthetic GOES-R Imagery Development and Uses Introduction Synthetic GOES-R ABI imagery has been routinely generated at the Cooperative Institute for Research in the Atmosphere (CIRA). This data is being developed for use by the GOES-R AWG proxy data group. Three mesoscale events have been simulated and delivered. In addition to mesoscale weather, simulated fire hot spots have been generated and delivered. Future work will continue to include other mesoscale weather events and synthetic fire imagery. Further, a new simulation is planned from which synthetic GOES-R ABI imagery will be sent to the AWG lightning team. We are always looking for ways to improve the observational operator: the model that produces synthetic imagery from cloud model output. Our latest idea deals with scattering of energy from the tops of thunderstorms. JP1.19 Contact: grasso@cira.colostate.edu GOES-R AWG Proxy Data Synthetic GOES-R ABI imagery from 3.9 to 13.3 µm along with RAMS output has been delivered to the AWG proxy data team. An example of the imagery along with synthetic GOES- 12 and NPOESS VIIRS data is shown in Figure 1. Figure 1. Synthetic imagery from three platforms, one for each case: October 2002 hurricane Lili, February 12-13, 2003 lake effect snow event, and May 8, 2003 severe thunderstorms over eastern Kansas. GOES-R AWG Proxy Data Fire Hot Spots Along with synthetic GOES-R ABI imagery of mesoscale weather events, we have also provided synthetic GOES-R ABI imagery of simulated fire hot spots. As a first step, fire hot spots were added into grid 4 (Fig. 2), spanning eastern Kansas of the May 8, 2003 severe weather case. From here, synthetic GOES-R 3.9 µm Tb’s were produced with variable sfc emissivities (Fig. 3). Finally, GOES-R 3.9 µm Tb’s on 2.4 x 3.2 km pixels were built from the 400 m data with a point spread function (Fig. 4). Variable sfc emissivities provided by Ben Ruston. Figure 4. GOES-R 3.9 µm fire hot spot imagery built up from 400 m pixels using a point spread function to 2.4 x 3.2 km pixels. GOES-R AWG Proxy Future Direction Lightning: We plan to simulate the 3-4 April 2007 MCS that developed northwest of Alabama. This system was a prolific producer of lightning during the evening of April 3. Fire: In addition to the simulation of the Yucatan Peninsula fires that occurred on April 24, 2004, we plan a simulation over southern California during a fire outbreak. CSU RAMS Model CSU non-hydrostatic cloud model Two-way interactive nested grids Two-moment microphysics with rain, aggregates, graupel, hail, pristine ice, and snow This poster does not reflect the views or policy of the GOES-R Program Office. Observational Operator OPTRAN code for clear-sky transmittances Cloud optical properties (single scatter albedo, extinctionc oefficient, and asymmetry factor) from modified anomalous diffraction theory (MADT) for each of the seven hydrometeor types. IR radiances from Delta-Eddington formulation SHDOM was used to compute 3.9 µm clear and cloudy radiances. Figure 2: RAMS grids 1 through 4 Figure 3: GOES-R 3.9 µm on RAMS grid 4. Δx = Δy = 400 m. Fire hot spots are multiples of 400 m pixels.