SEMINAR: MPO Special Seminar:Dr. Michael J. Folmer, Friday, April 13, at 11:00 a.m., RSMAS library


From: Sandrine Apelbaum <sapelbaum@rsmas.miami.edu>
Subject: SEMINAR: MPO Special Seminar:Dr. Michael J. Folmer, Friday, April 13, at 11:00 a.m., RSMAS library
Date: Mon, 9 Apr 2012 15:47:42 -0400

MPO Special Seminar



Dr. Michael J. Folmer
NOAA/NWS HPC/OPC and NOAA/NESDIS SAB
University of Maryland, ESSIC, CICS


Title:"The 2012 GOES-R Proving Ground activities at HPC, OPC, TAFB, and SAB"


Friday, April 13th at 11:00 a.m.
RSMAS Library, Map and Chart room



ABSTRACT
The GOES-R Proving Ground (PG) Program was organized to demonstrate the next generation geostationary satellite products and capabilities that will be incorporated into NOAA operations.  Starting in July 2011, proxy GOES-R data and products were demonstrated for forecasters at the Hydrometeorological Prediction Center (HPC), the Ocean Prediction Center (OPC), the National Hurricane Center (NHC) Tropical Analysis and Forecast Branch (TAFB), and the Satellite Analysis Branch (SAB) of the National Environmental Satellite, Data, and Information Service (NESDIS).  These pre-operational demonstrations allowed forecasters to use and evaluate proxy and simulated GOES-R data from research and operational satellite instruments (MODIS, AIRS, IASI, and SEVIRI), WRF model forecasts, and lightning networks in a quasi-operational environment to support their forecast and warning decision making.  In evaluating these products, the forecasters were exposed to the strengths, limitations, and constraints of the new GOES-R capabilities prior to its launch and provided valuable feedback to the product developers.  The product developers then have an opportunity to use these evaluations to improve the products before they are incorporated into operations.

This presentation describes the GOES-R products that are being demonstrated at HPC, OPC, TAFB, and SAB.  The first products to be demonstrated and evaluated include the WRF-simulated Advanced Baseline Imager products (cloud and moisture imagery), the Enhanced ?V? / Overshooting Top Detection and the Red, Green, Blue (RGB) Air Mass and Dust products.  A brief description of future product demonstrations will be covered, including the Rainfall Rate / Quantitative Precipitation Estimate, Lightning Detection, Convective Initiation, Cloud Top Phase, Cloud Top Temperature, Cloud Top Pressure, Derived Motion Winds, and Volcanic Ash Detection.  All of these products will be evaluated this year and will lead to advancements in operational usage of new satellite technology prior to the GOES-R age.

Sandrine Apelbaum
Meteorology and Physical Oceanography 
Rosenstiel School of Marine and Atmospheric Science
University of Miami
4600 Rickenbacker Causeway
Miami, FL 33149-1098
Tel     (305) 421-4057
Fax     (305) 421-4696