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GOES Product Applications

GOES Product Applications. Jaime Daniels NESDIS/ORA/Forecast Products Development Team Camp Springs, Maryland Gary Gray Raytheon Information Technology and Scientific Services Lanham, Maryland. Topics. Issues important for the effective utilization of satellite products

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GOES Product Applications

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  1. GOES Product Applications Jaime Daniels NESDIS/ORA/Forecast Products Development Team Camp Springs, Maryland Gary Gray Raytheon Information Technology and Scientific Services Lanham, Maryland

  2. Topics • Issues important for the effective utilization of satellite products • Conclusions from the 1999 NWS Field Assessment of GOES sounder products • Operational GOES Products at NESDIS • Experimental Products Under Development • Challenges: Current & Future

  3. Issues Important for the Effective Utilization of Satellite Products • Timeliness • Accuracy • Coverage • Horizontal, vertical, temporal • Information content • Format and/or Presentation

  4. Purpose: Assess the operational value of GOES sounder products to the NWS Forecast and Warning Program Conducted: July 19 – August 30, 1999 Heightened the forecasters’ situational awareness to potential watch/warnings scenarios Led to the issuance of improved forecast products in over 79% of all active weather situations GOES sounder products especially useful for: Locating maximum instability & atmospheric moisture axes prior to convective development Observing temporal changes in stability & moisture Judging the validity of NWP forecasts Conclusions from 1999 NWS Field Assessment of GOES Sounder Products

  5. Operational GOES Products at NESDIS

  6. GOES Products Distributed Over AWIPSSignificant milestone for NOAA!! • All NOAA/NWS offices now or will soon have digital access to several GOES products and sounder imagery • NWS field forecasters can use these data in their daily forecast preparations • AWIPS workstations allow forecasters to easily integrate GOES wind products with other data sources (model output, ACARS, rawinsondes, etc) AWIPS Build/Deploy DateProduct 5.2.2 October 2002 Soundings (BUFR) OB1 April 2003 GOES-12 data/products OB2 July 2003 Satwinds (BUFR) OB3 Feb 2004 Sounder imagery OB5 Feb 2005 Sounder DPI Cloud amount

  7. TPW Lifted Index Skin Temperature Operational GOES Sounder DPI Products prepared for AWIPS http://www.ssd.noaa.gov/PS/PCPN/pcpn-na.html

  8. Experimental Products • Full resolution GOES sounder retrievals • Cloud-drift & Water Vapor Motion Winds • GOES & MODIS

  9. Full Resolution GOES Sounder Retrieval System • Funded GOES Product Systems Development and Implementation (PSDI) task (ORA/CIMSS/OSDPD) • Operational implementation (late 2004 or early 2005) • Pixel level retrievals • Integration of temp/moisture retrieval, cloud retrieval (includes ASOS SCP), and DPI product processing systems • More consistency amongst products (ie., cloud determination) • Improved resolution (horiz, vertical, temporal) of first guess (model) data

  10. GOES Sounder Retrieval ProductsExperimental SFOV Products Experimental production and validation at FPDT & CIMSS (point & image) Increased horizontal coverageoffers exciting possibilities for enhanced use of product in mesoscale forecasting Improved depiction of gradientsin retrieved products (PW, LI, etc) Focus attentionto localized areas of interest (instability)

  11. Single FOV soundings (10km resolution) offer significantly improved coverage. Derived SFOV quantities, such as atmospheric stability, can be plotted over imagery or can be placed in image format and used by NWS for severe storm forecasting

  12. GOES SOUNDER CONVECTIVE AVAILABLE POTENTIAL ENERGY (CAPE) INDEX 3x3 FOV 5x5 FOV 1x1 FOV Derived Product Image of CAPE from single FOV retrievals

  13. GOES-12 Total Precipitable Water DPI Operational product (5x5) Experimental product (1x1)

  14. Clear/Cloudy Designation

  15. VALUE ADDED THERMODYNAMIC DIAGRAMS SHOWING GOES VERTICAL TEMPERATURE AND MOISTURE PROFILES DERIVED FROM GOES SOUNDER Generated at hundreds of sites across US every hour Used extensively by NWS field forecasters for severe weatherforecasting Product can be looped over a 24 hour period to show trends of atmospheric stability STABLE UNSTABLE http://orbit-net.nesdis.noaa.gov/goes/soundings/skewt/html/skewloop.html

  16. GOES Sounder Retrieval ProductsExperimental SFOV Products ”The IHOP Experience”

  17. GOES Sounder SFOV Retrieval Products for theInternational H20 Project (IHOP) 2002 Product latency Key factor for increasing the utility of the sounder products IHOP offered us an opportunity to demonstrate these products could be produced with reduced latency SFOV product processing requires significantly more processing stream-lined software software ported to new H/W FPDT successfully delivered GOES-8 & GOES-11 SFOV PW and cloud products to FSL for use in the Local Analysis Prediction System (LAPS) May 13 – June 25, 2002 ( HH:56) ( HH+1:02) IHOP SFOV Products available to FSL at HH:24 38-min latency from start time of sounder scan to time product is available

  18. GOES Sounder TPW SFOV Product Accuracy

  19. GOES Sounder TPW SFOV Product Accuracy

  20. GOES Sounder TPW SFOV Product Accuracy

  21. GOES Sounder TPW SFOV Product Accuracy

  22. Experimental Products • Cloud-drift & water vapor motion winds • Hourly production over CONUS and PACUS sectors using highest temporal frequency imagery available (15-min or 7.5-min) • MODIS cloud-drift and water vapor motion winds

  23. Rapid Scan Winds Lower Troposphere 25 Feb 2001

  24. GOES-10 Rapid-Scan IR Cloud-Drift Winds during PACJET

  25. High-resolution RUC forecasts for PACJET: Real-time NWS guidance and retrospective data impact tests Steve Weygandt1*, Stan Benjamin1, Chris Velden2 Jason Burks3, and Louisa Nance4,5 1NOAA/Forecast Systems Laboratory, Boulder, CO 2CIMSS, University of Wisconsin, Madison, WI 3NOAA/National Weather Service Western Region, Salt lake City, UT 4NOAA/Environmental Technology Laboratory, Boulder, CO 5CIRES, University of Colorado, Boulder, CO …… The remainder of the presentation will on focus initial results from the retrospective test designed to quantify the forecast impact from the special rapid-scan satellite winds. In this test, two parallel sets of 1-h cycled RUC forecasts were produced for a meteorologically active period. The first experiment utilized all conventional observations (rawinsonde, 404 and 915 MHz profiler, RASS, VAD, ACARS, and surface reports), while the second experiment, supplemented the conventional observations with the rapid-scan satellite winds. Initial results from the retrospective test indicate that inclusion of the rapid-scan satellite wind observations improved short-range (0-12 h) wind predictions by up to 10% for this case. (Excerpt from Abstract Submitted to USWRP 4th Science Symposium)

  26. TERRA/MODIS Cloud-Drift Winds MODIS band 31 (11 mm)

  27. TERRA/MODIS Water Vapor Channel (One Day of Arctic Orbits) MODIS band 27 (6.7 mm)

  28. GOES Satellite Wind Product Validation http://orbit-net.nesdis.noaa.gov/goes/winds/html/tseries.html

  29. GOES Satellite Wind Product Validation http://orbit-net.nesdis.noaa.gov/goes/winds/html/tseries.html

  30. GOES Satellite Wind Product Validation

  31. GOES Satellite Wind Product Validation

  32. Challenges: Current & Future • Need to reduce product latency • Streamlined product processing • Faster scanning strategies; adaptable scanning strategies • Improved product quality control & monitoring to assure the reliability of high quality products • Getting experimental satellite products into the hands of NWS forecasters • AWIPS • Other ways (ie., internet etc.)

  33. Challenges: Current & Future (cont’d) • Data fusion, new display capabilities & forecaster tools • Derived Product Imagery (DPIs) information will become increasingly important • Expansion of applications • Pre-convective storm location/intensity, fog, wild fires, icing, etc • Real-time model verification • Easy to interpret • Easily integrated with “Nowcasting” products • Combine the best of all observing systems • Combine Raob, Aircraft, Profiler winds, and GOES RH to produce moisture flux • Real-time model verification • Continued need for training • New instruments • Improved vertical resolving power • Improved depiction of vertical distribution of moisture

  34. Web Site & Contact Information • http://orbit-net.nesdis.noaa.gov/goes/soundings • GOES sounder retrieval products • http://orbit-net.nesdis.noaa.gov/goes/sdpi/html/sdpiimgnewt.html • Contains the experimental SFOV Sounder Derived Product Imagery • Products are categorized as cloud, fire, moisture, severe weather, and temperature • http://orbit-net.nesdis.noaa.gov/goes/winds • GOES wind products • Jaime.Daniels@noaa.gov; 301-763-8204 x143

  35. GOES-12 ECA Operational DPI System

  36. GOES-12 ECA Merged Sounder Product System

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