1. Poster 1.66 An Update on CIRA’s GOES-R Proving Ground Activities Ed Szoke 1,2, Renate Brummer 1, Hiro Gosden 1, Steve Miller 1, Mark DeMaria 3, Dan Lindsey and Deb Molenar 3 1 Cooperative Institute for Research in the Atmosphere (CIRA) 2 NOAA/Earth System Research Laboratory (ESRL)/Global Systems Division (GSD) 3 National Environmental Satellite, Data, and Information Services, Center for Satellite Applications and Research (NESDIS/STAR) CIRA GeoColor and Low Cloud/Fog Products Comparison to AWIPS IR and fog imagery (1100 UTC/5 Mar 10) AWIPS IR image AWIPS 11-3.9 micron image GeoColor image (nighttime version) Low cloud/fog image (nighttime version) The GeoColor product uses layering techniques and also combines current GOES imagery with background imagery (NPOESS in the GOES- R era) to show the city lights at night. Fog and low clouds are given an orangish color. In the low cloud/fog product (also know as the “shortwave albedo product”) low clouds/fog are white at all times. AWIPS Visible image at 1831 UTC AWIPS IR image at 1831 UTC clouds (yellow/light green) snow = white yellow = lower, liquid phase clouds magenta = higher, ice phase clouds snow = white, bluish-white Cloud Layers and Snow Cover Discriminator Product at 1807 UTC Cloud/snow Discriminator Product at 1810 UTC Overview The purpose of the GOES-R Proving Ground (PG) is to have forecasters evaluate potential products that will be available when GOES-R is launched in 2016. CIRA is an active partner along with CIMSS and SPoRT. We interact with a number of National Weather Service (NWS) Weather Forecast Offices (WFOs), and National Centers. Products are generated from current satellite imagery (GOES and MODIS) and computer-generated imagery. CIRA PG Products (see http://rammb.cira.colostate.edu/research/goes- r/proving_ground/cira_product_list/) http://rammb.cira.colostate.edu/research/goes- r/proving_ground/cira_product_list/ At this site you can see all our products in real-time, plus there is a 4- week archive for each product. Also, every product has a concise Product Description that describes how the product is made, what it is used for, and how it relates to the future GOES-R product. Synthetic imagery (created from the NSSL WRF-ARW model run at 4 km horizontal grid resolution) makes it possible to create imagery for bands/products not yet available, with better time resolution than MODIS. Low-level reflectivity at 0900 UTC 18 Dec 2010 ORI product valid at 0900 UTC 18 Dec 2010 ORI product overlaid with AWIPS topography imge MODIS Blowing Dust Products Example from the Lubbock TX area on 20 Feb 2012. The “pink” blowing dust MODIS-based product from the new Suomi NPP satellite displayed the dust in dramatic detail for this deadly dust storm. NPP VIIRS at 1940 UTC for pink dust product CIRA Cloud/Snow Discriminator Products Comparison to AWIPS visible and IR imagery for clouds over snow on 5 Jan 2011 Synthetic Imagery Products True color visible image at 1940 UTC Blowing dust “yellow” product at 1747 UTC The Orographic Rain Index (ORI) product is an example of a derived product that is created by combining the CIRA blended Total Precipitable Water product with short-range forecasts from the GFS to produce an index related to orographically induced precipitation. NWS forecaster Chad Gimmestad (WFO BOU) studying the GeoColor product. Photo by Will vonDauster The GOES-R Proving Ground strongly encourages forecaster feedback. Based on the forecaster’s comments the PG product developers can change and improve their products. Feedback is being provided verbally, via on-line forms, via comments in shift logs, via email, by using BLOGS, and by mentioning the performance of a product in AFDs (see figure below). Forecaster Feedback ORI Products AWIPS visible AWIPS IR (10.7 microns) Simulated Band 13 (10.35 microns – IR) Simulated Band 9 Simulated Band 10 Simulated Fog imagery 1400 UTC/3 Oct 2012 All simulated images are 14-h forecasts valid 1400 UTC/3 Oct 2012