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CIMSS Participation in the Development of a GOES-R Proving Ground Timothy J. Schmit NOAA/NESDIS/Satellite CIMSS Participation in the Development of a GOES-R Proving Ground Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite Products Branch (ASPB) (with help from many others…) Boulder, CO 15 -May-2009 1 UW-Madison

Overview • FY 2009 Activities – Test and Apply algorithms – AWIPS Weather Event Overview • FY 2009 Activities – Test and Apply algorithms – AWIPS Weather Event Simulations (WES) – NWP Images • FY 2010 -FY 2011 Activities 2

FY 09 (CIMSS) • Test and Apply algorithms for new satellite data imagery/products in FY 09 (CIMSS) • Test and Apply algorithms for new satellite data imagery/products in support of Storm Prediction Center (SPC) Hazardous Weather Testbed (HWT) and Local NWS offices. – Provide access via AWIPS and N-AWIPS to a Convective Initiation (UWCI) decision support product based on GOES infrared radiances. – CIMSS will use high-spectral resolution AIRS data to simulate the ABI spectral bands. – The number of MODIS products, which would also be derived with future ABI bands, available through AWIPS will be extended. – CIMSS scientists will expand interaction with and seek feedback from the NWS, including the addition of more participating offices, more forecaster product utility surveys and additional NWS office site visits. – CIMSS continues to build a strong relationship with the forecasters at the National Weather Service (NWS) in Sullivan, Green Bay, La Crosse, Wisconsin and Marquette, Michigan. – To cover a broader base of forecasters, multi-year visits between CIMSS and local/regional NWS offices have been planned. 3

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Possible UWCI Algorithm Enhancements • Improve diagnosis of small cumulus, this can be improved Possible UWCI Algorithm Enhancements • Improve diagnosis of small cumulus, this can be improved via UWCI algorithm methodology • Some of the UWCI thin cirrus detection can possibly be improved but new spectral information needed for accurate cirrus detection • Rapid anvil expansion FAR can be mitigated 5

Sample AIRS DPI IN AWIPS- 04 - 09 -2009 6 Sample AIRS DPI IN AWIPS- 04 - 09 -2009 6

FY 09 (CIMSS) • AWIPS Weather Event Simulations (WES). – We will explore the FY 09 (CIMSS) • AWIPS Weather Event Simulations (WES). – We will explore the development of an environmental event simulator for user education. This would use historical simulated ABI synthetic data sets to build case studies demonstrating the utility of the ABI data. This activity would leverage the WES (Weather Event Simulators) and GOES-R AWG proxy efforts. Currently two separate efforts are underway: • CIMSS will continue development of 4 -5 June 2005 convective WES case study (as shown above in FY 2008 accomplishments) beginning work on including level 2 products (cloud properties, TPW, and LI). • b) CIMSS will begin coordination and development of WRF-ARW Hurricane Katrina AWIPS WES event. NWS Miami has requested an ABI hurricane simulation data within AWIPS for training and preparing forecasters for future ABI hurricane decision support capabilities. – CIMSS will use proxy WRF-ARW profile and satellite radiance cases to simulate top of atmosphere radar (satellite perspective) and display within AWIPS to provide comprehensive forecaster interpretation. – The CIMSS team will begin investigation of the AWIPS-II early access and product demonstration. 7

Wx Event Simulator (all ABI bands) WES guide underway 8 Wx Event Simulator (all ABI bands) WES guide underway 8

“Collaboration mode” 9 “Collaboration mode” 9

FY 09 (CIMSS) • NWP Images. – CIMSS researchers and scientists will explore the FY 09 (CIMSS) • NWP Images. – CIMSS researchers and scientists will explore the creation of simulated (synthetic) GOES-R datasets, including forecast images of ABI bands using a regional model, such as WRF. This will build upon the forecast image capability already demonstrated with the CIMSS Regional Assimilation System (CRAS). CIMSS proposes to begin coordinating access to simulated ABI channel infrared radiances from WRF NWP output (either locally or from local NWS office) using AWIPS system. 10

ABI in AWIPS (via net. CDF) Simulated Advanced Baseline Imager (ABI) bands shown; in ABI in AWIPS (via net. CDF) Simulated Advanced Baseline Imager (ABI) bands shown; in the legacy AWIPS. 11

Sample ‘forward model’ images • • Progress on CRAS into AWIPS New real-time CRAS Sample ‘forward model’ images • • Progress on CRAS into AWIPS New real-time CRAS website: – – http: //cimss. ssec. wisc. edu/cras/cras 45_NA/12/p 03_m. html Forecast IR window Forecast WV Forecast “sky cover” 12

6 th GOES Users’ Conference http: //cimss. ssec. wisc. edu/goes_r/meetings/guc 2009/ 3 -5 November 6 th GOES Users’ Conference http: //cimss. ssec. wisc. edu/goes_r/meetings/guc 2009/ 3 -5 November 2009 Monona Terrace Convention Center Madison, Wisconsin Geostationary Operational Environmental Satellites: http: //www. goes-r. gov 14 Special Event on 2 November: 50 th Anniversary of the 1 st Meteorological Satellite Experiment

FY 10/11 • Continue needed tasks from FY 09 – WES Case refinements • FY 10/11 • Continue needed tasks from FY 09 – WES Case refinements • Continue participation in follow-on SPC spring hazardous testbed experiments (and/or other candidate experiments in development). – UWCI refinements, AIRS, etc. • Future years could also include applications of data from the next generation polar system (NPP/NPOESS) and more GOES-R like datasets. Also, we would explore the development of an automated procedure and web page that would routinely accumulate data from satellite and ground-sites so that products such as moisture or atmospheric stability generated by GOES-R like capabilities can be validated, or proved. 15

Improved attributes with the Future GOES Imagers “Information volume” 16 Improved attributes with the Future GOES Imagers “Information volume” 16