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UW-CIMSS MURI Management & Progress Report Wayne Feltz (Program Manager)

UW-CIMSS MURI Management & Progress Report Wayne Feltz (Program Manager). MURI Research Update UW & UH Co-Investigator Interactions Research Timeline for UW–MURI Overall Status Progress Reports: The UW & other Co-Is. Hyperspectral WBS & Personnel Allocation.

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UW-CIMSS MURI Management & Progress Report Wayne Feltz (Program Manager)

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  1. UW-CIMSS MURI Management & Progress ReportWayne Feltz(Program Manager) MURI Research Update UW & UH Co-Investigator Interactions Research Timeline for UW–MURI Overall Status Progress Reports: The UW & other Co-Is 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  2. Hyperspectral WBS & Personnel Allocation Students:Ryan Aschbrenner Benjamin Johnson seeking others MURI Allen Huang (PI) Wayne F. Feltz (PM) Dave Tobin Leslie Moy, Jim Davies Jun Li Wang Xuanji Jason Otkin Paul van Delst Retrieval Algorithms Forward Modeling Ocean Emiss. Modeling Numerical Modeling 1st Order Robert Knuteson Suzanne Seeman Eva Borbas Wayne Feltz Kris Bedka R. Dengel, D. Stettner Chris Velden, B. Huang Steve Ackerman Stability & Turbulence Dust & Visibility PBL Winds Land Surface Modeling 2nd Order Ping Yang (UT A&M) G. Jedlovec (UAH) Paul Lucey (UH-HIGH) Surface Characterization Clouds & Cloud Modeling UW-CIMSS Support Staff:Hal Woolf, Elizabeth Weise, Erik Olson, Dave Santek, Kevin Baggett, Tom Rink, Tom Whittaker 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  3. MURI Highlights • 1st Phase (Years 1-3) Reviewed and Optional 2nd Phase (Year 4-5) granted funding • Basic research will be honed for hyperspectral meteorological applications during Years 4-5 • Leveraging with other hyperspectral funding (GOES-R Risk Reduction) to support general Navy, NOAA, and NASA hyperspectral science • More than 20 conference papers and 6 journal papers published with MURI related efforts 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  4. Tasks for UW-MURI • 1Mathematical Quantification of Useful Hyperspectral Information • 2 Radiative Transfer Modeling • Clear and Cloudy Sky Emission/Absorption • Atmospheric Particulate Emission/Absorption • Surface Emission/Absorption • Adjoint & Linear Tangent • 3 Mathematical Retrieval Algorithm Development • Atmospheric Parameters • Suspended Particulate Detection and Quantification • Sea Surface Temperature • Surface Material Identification • 4 Product Research • Ocean and Land Surface Characterization • Lower Tropospheric Temperature, Moisture and Winds • Surface Material Products • Aerosols • Derived (Second Order) Products • Visibility New Additions (in Red) 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  5. Progress Reports: The UW & UH Co-Is UW–CIMSS: • NWP in support of Simulating Hyperspectral data • Information Content • “Clear Sky” RTE Development • Hyperspectral Clear/Cloudy Retrievals • Simulated • Measurements • Derived Winds & Atmospheric Parameters; SST UH–HIGP: • AHI field experiments & hyperspectral modeling • Surface Emissivity 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  6. Science Use of GIFTS Data:Where do we stand today? UW-MURI 6.2 6.4 Data Assimilation Studies Simulating GIFTS data Convection & Stability Cloud Properties Fast Model development New Science Applications 0 50 95 Dust & Aerosol Retrievals First Retrievals (T, q, wind) Information Content Estimating Visibility Estimating Turbulence Y4-Y5 Y0 Y1 Y2 Y3-Y5 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  7. Forward Modeling Work Surface Type • “ LBLRTM based PLOD fast model” • LBLRTM runs: • HITRAN ‘96 + JPL extended • spectral line parameters • CKD v2.4 H2O continuum • Spectral Characteristics: • ~586-2347 cm-1 • ~0.8724 cm MOPD • Kaisser Bessel #6 apodization • Fast Model: • 32 profiles from • NOAA database • 6 view angles • AIRS 100 layers • Fixed, H2O, and O3 • AIRS PLOD predictors • Run time: • ~0.8 Sec on a 1 GHz CPU Ozone Temp. Dust/Aerosol CO Temp. Water Vapor 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  8. MURI Hyperspectral Cloud/Aerosol/Haze Radiative Transfer Modeling 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  9. GIFTS Spectrum: Clear Sky MURI Hyperspectral Modeling Activities Completed a high-resolution MM5 simulation of an intense upper-tropospheric jet streak that occurred over the north-central Pacific during the 2003 THORPEX field study. This simulated atmosphere was passed through the GIFTS forward model to obtain top of atmosphere radiances. Installed and successfully performed several multiple-processor Weather Research and Forecasting (WRF) simulations. Ongoing work involves comparing WRF and MM5 model output to determine the ability of the WRF model to simulate the fine-scale water structure during a convective initiation event. 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  10. Hyperspectral Clear/Cloudy Sounding Retrieval • Clear sounding retrieval • Regression and • Regularization (physical retrieval) • Cloudy Sounding retrieval • Hole hunting for single FOV • Cloud clearing using imager/sounder (ABI/HES, MODIS/AIRS are be used for testing the algorithm) • Cloudy regression 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  11. Cube study • 2. MODIS/AIRS demonstration (IHOP, June 12, 2002) AIRS Single FOV RTV vs. ECMWF Analysis : TPW 09-02-2003, granule 192, daytime 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  12. Hyperspectral Winds Retrieval GOES-8 winds 1655z 12 June 02  GIFTS - IHOP simulation 1830z 12 June 02   Simulated GIFTS winds (left) versus GOES current oper winds (right) 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  13. Hyperspectral NAST-I/S-HIS RetrievalsPTOST and ATOST Campaigns Scanning HIS Relative Humidity and Cloud Phase Lidar cloud boundaries MODIS Airborne Simulator 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  14. Incorporate Satellite-Based Convective Cloud Analyses for Nowcasting Convective Initiation (CI) • Identify pre-CI signatures in GOES Visible and IR data using: 1) convective cloud masking 2) multi-spectral band differencing techniques 3) cloud-top temperature trend assessments • Develop CI nowcasts (0-1 hour) by accumulating pre-CI satellite indicators attributed to the first occurrence of a ≥ 30 dBZ radar echo CI Nowcast Algorithm Red: CI Nowcasts Grey: Cirrus Anvil 1 Hour Later Nowcast Time UW-CIMSS Satellite Convective Storm Nowcasting Cloud-top Cooling Estimates Using Satellite-Derived Winds GOES-12 1 km Visible and 4 km Imager: 4 May 2003 Multi-spectral Techniques Convective Cloud Mask Doppler Radar for Validation 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  15. Land Surface Temperature from AIRS B.T. (K) UW Online/ Offline Ts (K) DOE Southern Great Plains ARM site temperature contrast. 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  16. UW HSSP Parallel Computing System Objective: In support of a government/industry Broad Scope of Hyperspectral Activities System General Specification $ Computing Cluster 72 AMD Opteron CPU (64 bits) 16 SGI Itanium CPU (64 bits) $360K Server & Storage 48 Terabytes $100K Grand Total $460K UW-Navy Hardware Investments* *ONR DURIP Award 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  17. STATUS • The UW & UH MURI is a healthy research collaboration which includes two other external investigators • We are through our proposed Year 3 and have been granted funding for two optional years of MURI work. • We are progressing on many fronts, from RTE and toward atmospheric/surface applications development • We are using the simulated GIFTS and operational AIRS/NAST-I/S-HIS data and and our rapidly implementing the new knowledge gained through this grant towards future hyperspectral applications • More investigator details to follow  4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

  18. SSEC MURI Presentations Today 1:452:05 pm Clear Forward Models & linear operators L. Moy 2:052:25 pm Cloudy Fast Forward Model J. Davies 2:252:45 pm Simulated Profiles Retrievals: Clear & Cloudy J. Li 4:505:30 pmIMAPP AIRS Sounding Demonstration Baggett/Weisz Tomorrow 8:30-8:50 am Multiple Spectral and Hyperspectral Wind Demonstration Velden/Huang 8:50-9:10 am Demonstration of 3D Water Vapor Tracked Winds B. Huang 9:10-9:30 am Training database for Hyperspectral …Applications S. Seemann 9:30-9:50 am Hyperspectral cloud boundary retrieval R. Holz 10:10-10:30 am Hyperspectral Land Surface Modeling & Retrieval R. Knuteson 10:30-10:50 am Infrared Sea Surface Emissivity (IRSSE) Model P. Van Delst 10:50-11:10 am Hyperspectral Applications for Aviation W. Feltz 11:10-11:30 am Automatic GOES Nowcasting of Convective Initiation K. Bedka 11:30-12:00 pm Hyperspectral Signature Survey: Fire Plumes, .. Clouds D. Tobin 1:00-1:45 pm UW Hyperspectral Sounder Simulator & Processor A. Huang 2:30-3:20 pmHyperspectral Visualization Demonstration Rink/Tobin 4th Annual Workshop on Hyperspectal Meteorological Science of UW MURI, GIFTS,and GOES-R 27-28 April 2004, Madison, Wisconsin

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