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Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation 1 CIMMS / University of Oklahoma 2 NWS MDL 3 NSSL 4 NWS WFO OUN Location: National.

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Presentation on theme: "Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation 1 CIMMS / University of Oklahoma 2 NWS MDL 3 NSSL 4 NWS WFO OUN Location: National."— Presentation transcript:

1 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation 1 CIMMS / University of Oklahoma 2 NWS MDL 3 NSSL 4 NWS WFO OUN Location: National Weather Center, Norman, OK 1 CIMMS / University of Oklahoma 2 NWS MDL 3 NSSL 4 NWS WFO OUN Location: National Weather Center, Norman, OK Gregory J. Stumpf 1,2,3 Travis Smith 1,3 Kevin Manross 1,3 David Andra 4 Gregory J. Stumpf 1,2,3 Travis Smith 1,3 Kevin Manross 1,3 David Andra 4 The 2009 Experimental Warning Program Spring Experiment New Participant Orientation

2 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Outline Overview of the Spring Experiment The HWT and the EWP Schedule Logistics Broad objectives of the projects WDSSII Multi-Radar/Sensor Applications Lightning Mapping Array (LMA) Phased Array Radar (PAR) Collaborative Adaptive Sensing of the Atmosphere (CASA) Overview of the Spring Experiment The HWT and the EWP Schedule Logistics Broad objectives of the projects WDSSII Multi-Radar/Sensor Applications Lightning Mapping Array (LMA) Phased Array Radar (PAR) Collaborative Adaptive Sensing of the Atmosphere (CASA)

3 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation NSSL Mission To enhance NOAA’s capabilities to provide accurate and timely forecasts and warnings of hazardous weather events. NSSL accomplishes this mission, in partnership with the National Weather Service (NWS), through: a balanced program of research to advance the knowledge of weather processes research to improve forecasting and warning methodologies development of operational technology and transfer of knowledge, methodologies, and technology to NWS operations To enhance NOAA’s capabilities to provide accurate and timely forecasts and warnings of hazardous weather events. NSSL accomplishes this mission, in partnership with the National Weather Service (NWS), through: a balanced program of research to advance the knowledge of weather processes research to improve forecasting and warning methodologies development of operational technology and transfer of knowledge, methodologies, and technology to NWS operations

4 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Transfer to Operations: NOAA Testbeds Testing experimental applications, products, systems, models of operations, and public services. Hazardous Weather Testbed (HWT) u NSSL/NWS Experimental Warning Program u NSSL/SPC Experimental Forecast Program National Weather Radar Testbed (NWRT) u Multi-purpose Phased Array Radar Hydrometeorology Testbed (HMT) u Western US, Central US, and Eastern US Joint Hurricane Testbed (JHT) u National Hurricane Center Testing experimental applications, products, systems, models of operations, and public services. Hazardous Weather Testbed (HWT) u NSSL/NWS Experimental Warning Program u NSSL/SPC Experimental Forecast Program National Weather Radar Testbed (NWRT) u Multi-purpose Phased Array Radar Hydrometeorology Testbed (HMT) u Western US, Central US, and Eastern US Joint Hurricane Testbed (JHT) u National Hurricane Center

5 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation HWT Experimental Warning Program Mission: to improve the nation's hazardous weather warning services by bringing together forecasters, researchers, trainers, developers, and user groups to develop, test and evaluate new techniques, applications, observing platforms, and technologies. Feedback from experiments used for improvements Immerse forecasters in a research environment Provide researchers information about operational requirements Goal: Improve decision support for the prediction of high impact severe weather hazards at the WFO “warning scale” (0-2 hours). Mission: to improve the nation's hazardous weather warning services by bringing together forecasters, researchers, trainers, developers, and user groups to develop, test and evaluate new techniques, applications, observing platforms, and technologies. Feedback from experiments used for improvements Immerse forecasters in a research environment Provide researchers information about operational requirements Goal: Improve decision support for the prediction of high impact severe weather hazards at the WFO “warning scale” (0-2 hours).

6 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation History of Collaboration: NOAA Research and NWS JDOP Pre-STORM NEXRAD IOT&E II VORTEX mid early mid-late late ’80s - ’70s ’80s 85 ’80s 1989 early ’90s 1994-95 mid ’90s 1997 thru 2009 + Early algorithms DOPLIGHT MAPS COPS QED Stormtipe Pre-AWIPS Risk Reduction WDSS ORPG AWIPS NSSL/SPC WDSS II JPOL COMET IHOP ORDA PAR CASA LMA PHI

7 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Historical Results JDOP……Operational Doppler weather radar MAPS etc……Hazardous Weather Outlook IOT&E II……WSR-88D Deployment Risk reduction/ISPAN…… Modernized field offices Experimental SPC outlooks…… Operational probabilistic outlooks WDSS……. Next generation algorithms / SCAN deployment SREF…… SPC operational ensemble forecast AWIPS w/s prototype……Design implementation ORPGNEXRAD products generator JPOLE……Dual pol deployment WDSSII Display……Four-Dimensional Stormcell Investigator WDSSII multi-radar algs……On-Demand Verification Support System; AWIPS2 pending LMA……TBD CASA……TBD PAR……TBD Probabilistic Hazard Info……TBD JDOP……Operational Doppler weather radar MAPS etc……Hazardous Weather Outlook IOT&E II……WSR-88D Deployment Risk reduction/ISPAN…… Modernized field offices Experimental SPC outlooks…… Operational probabilistic outlooks WDSS……. Next generation algorithms / SCAN deployment SREF…… SPC operational ensemble forecast AWIPS w/s prototype……Design implementation ORPGNEXRAD products generator JPOLE……Dual pol deployment WDSSII Display……Four-Dimensional Stormcell Investigator WDSSII multi-radar algs……On-Demand Verification Support System; AWIPS2 pending LMA……TBD CASA……TBD PAR……TBD Probabilistic Hazard Info……TBD

8 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Norman is Unique Sensor-rich. A few unique ones: Phased Array Radar Polarimetric radar Gap-filling radars 3D Lightning Mapping Array Mesonet National-scale applications run locally (models, WDSSII) Large community of researchers, operational meteorologists, students, industry Lots of visiting meteorologists Meteorology also intersects with other disciplines Sensor-rich. A few unique ones: Phased Array Radar Polarimetric radar Gap-filling radars 3D Lightning Mapping Array Mesonet National-scale applications run locally (models, WDSSII) Large community of researchers, operational meteorologists, students, industry Lots of visiting meteorologists Meteorology also intersects with other disciplines

9 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation EWP Partners NWS Weather Forecast Offices (WFO) National Severe Storms Laboratory (NSSL) NWS Meteorological Development Lab (MDL) NWS Warning Decision Training Branch (WDTB) Social Science Woven Into Meteorology (SSWIM) GOES-R Proving Ground HWT Experimental Forecast Program (EFP) NWS Weather Forecast Offices (WFO) National Severe Storms Laboratory (NSSL) NWS Meteorological Development Lab (MDL) NWS Warning Decision Training Branch (WDTB) Social Science Woven Into Meteorology (SSWIM) GOES-R Proving Ground HWT Experimental Forecast Program (EFP)

10 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation EWP Personnel EWP Officers Greg Stumpf (Operations Coordinator) Kevin Manross (IT Coordinator) Travis Smith (co-Team Leader) David Andra (co-Team Leader) Weekly Coordinator (WC) Cognizant Scientists (1-2 per station per shift) You! (Forecaster/Evaluators) EWP Officers Greg Stumpf (Operations Coordinator) Kevin Manross (IT Coordinator) Travis Smith (co-Team Leader) David Andra (co-Team Leader) Weekly Coordinator (WC) Cognizant Scientists (1-2 per station per shift) You! (Forecaster/Evaluators)

11 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Forecaster/Evaluators Maximum of 4 full-time evaluators per shift Full-time WFO participants required to work within specified shift: 1-9 M-Th; 10- 1 Fr): u 16 NSSL-sponsored WFO meteorologists u 1 WFO OUN meteorologist u 1 Environment Canada meteorologist u 2 WDTB meteorologists “Part-time” observers (up to 2 per day) 1 SSD Chief 1 WFO forecaster 3 Canadian Meteorologists 1 WDTB Meteorologist 1 FSU graduate student 1 NESDIS scientists 1 NASA Scientist Maximum of 4 full-time evaluators per shift Full-time WFO participants required to work within specified shift: 1-9 M-Th; 10- 1 Fr): u 16 NSSL-sponsored WFO meteorologists u 1 WFO OUN meteorologist u 1 Environment Canada meteorologist u 2 WDTB meteorologists “Part-time” observers (up to 2 per day) 1 SSD Chief 1 WFO forecaster 3 Canadian Meteorologists 1 WDTB Meteorologist 1 FSU graduate student 1 NESDIS scientists 1 NASA Scientist

12 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Visitor logistics Most visitors will have a door key card for entry into NOAA area, the HWT, and a second door key card to enter the visiting scientist office (NWC 3221). WC will provide a brief tour of these facilities at the beginning. Foreign nationals will not have key cards. They will need an NWC participant escort into secure NOAA areas. They must check in each day with Campus Security Office (CSO). Visitors must display their NOAA or visitor ID badges at all times. Dinner scheduling (one at a time if during live operations, otherwise, order in or make a food run) Most visitors will have a door key card for entry into NOAA area, the HWT, and a second door key card to enter the visiting scientist office (NWC 3221). WC will provide a brief tour of these facilities at the beginning. Foreign nationals will not have key cards. They will need an NWC participant escort into secure NOAA areas. They must check in each day with Campus Security Office (CSO). Visitors must display their NOAA or visitor ID badges at all times. Dinner scheduling (one at a time if during live operations, otherwise, order in or make a food run)

13 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation 100-130pmNew Participant Orientation Seminar (Dev Lab) 130-200pmDaily coordination discussion for today (Dev Lab) 200-215pmTour (HWT, visiting forecaster office) 215-230pmBreak 230-330pmPAR/WDSSII Training (Radar Lab) 330-445pmTwo Individual Project Seminars (remaining seminar will be on Tuesday) (Dev Lab or NWC3500) 445-500pmBreak 500-900pmIntensive Operations Period (IOP) or 500-900pmArchive case playback / Training (no IOP) If there is an early IOP expected on Monday - baptism by fire! 100-130pmNew Participant Orientation Seminar (Dev Lab) 130-200pmDaily coordination discussion for today (Dev Lab) 200-215pmTour (HWT, visiting forecaster office) 215-230pmBreak 230-330pmPAR/WDSSII Training (Radar Lab) 330-445pmTwo Individual Project Seminars (remaining seminar will be on Tuesday) (Dev Lab or NWC3500) 445-500pmBreak 500-900pmIntensive Operations Period (IOP) or 500-900pmArchive case playback / Training (no IOP) If there is an early IOP expected on Monday - baptism by fire! Daily Schedule (Mon)

14 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Daily Schedule (Tue-Thu) 1-2pmDev Lab (NWC 2820) Debriefing of previous day’s activities Daily coordination discussion for today 2-9pmHWT Ops Area or Dev Lab Complete Intro seminars and Training Archive Playback 3-4 hour Intensive Operations Period (IOP) 1-2pmDev Lab (NWC 2820) Debriefing of previous day’s activities Daily coordination discussion for today 2-9pmHWT Ops Area or Dev Lab Complete Intro seminars and Training Archive Playback 3-4 hour Intensive Operations Period (IOP)

15 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Evaluator Training and Archive Playback WDSSII training, in conjunction with PAR orientation, will be completed first, if weather permits. Orientation to the other experiments will be conducted based on the expected Monday weather. Evaluators will gain experience for each experiment via a combination of archive cases and real-time events. Training/playback will be led by experiment cognizant scientists. Feedback will be obtained by cognizant scientists during archive case playback. WDSSII training, in conjunction with PAR orientation, will be completed first, if weather permits. Orientation to the other experiments will be conducted based on the expected Monday weather. Evaluators will gain experience for each experiment via a combination of archive cases and real-time events. Training/playback will be led by experiment cognizant scientists. Feedback will be obtained by cognizant scientists during archive case playback.

16 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Intensive Operations Periods (IOP) Mon-Thu only Maximum of one IOP per day 3-hour block, plus a 30 minute situational awareness briefing and a 30-minute pos-event discussion Weekly Coordinator to determine operational period and location Weekly Coordinator will manage the placement of the forecaster/ evaluators at the various experiment stations, and may rotate folks in and out of position at certain times Mon-Thu only Maximum of one IOP per day 3-hour block, plus a 30 minute situational awareness briefing and a 30-minute pos-event discussion Weekly Coordinator to determine operational period and location Weekly Coordinator will manage the placement of the forecaster/ evaluators at the various experiment stations, and may rotate folks in and out of position at certain times

17 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation When do we conduct IOPs for the 2009 experiments? When storms within 150 km of Norman: PAR CASA LMA When storms within 150 km of Huntsville or Washington DC: LMA WDSSII Multi-radar/sensor When storms outside these areas: WDSSII Multi-radar/sensor When no severe storms are forecasted in CONUS between 2-9pm: No IOP Training and archive playback for the whole shift When storms within 150 km of Norman: PAR CASA LMA When storms within 150 km of Huntsville or Washington DC: LMA WDSSII Multi-radar/sensor When storms outside these areas: WDSSII Multi-radar/sensor When no severe storms are forecasted in CONUS between 2-9pm: No IOP Training and archive playback for the whole shift

18 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Fridays 10a-12pEnd-of-week debriefing for all three experiments 12-1pOptional brown-bag lunch seminars from visiting participants -or- Adjourn for the week 10a-12pEnd-of-week debriefing for all three experiments 12-1pOptional brown-bag lunch seminars from visiting participants -or- Adjourn for the week

19 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Friday Debriefing Start with short debriefing on Thursday event Discussion of each specific experiment (science, technology, etc) Gather feedback on overall experiment logistics Overall testbed experience Help us make the experiment better after this week and next year. Encourage forecasters to make a weekly blog entry. Start with short debriefing on Thursday event Discussion of each specific experiment (science, technology, etc) Gather feedback on overall experiment logistics Overall testbed experience Help us make the experiment better after this week and next year. Encourage forecasters to make a weekly blog entry.

20 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Friday seminars 12pm-1pm Informal Brown Bag lunch Dev Lab Divide the hour up into number of talks. If more than one talk, run it conference style. Max of 4 talks. We’ll ask visitors on Monday, as early as possible, if they want to give a seminar, and let them know how much time to prepare. If no seminars, adjourn the week early. 12pm-1pm Informal Brown Bag lunch Dev Lab Divide the hour up into number of talks. If more than one talk, run it conference style. Max of 4 talks. We’ll ask visitors on Monday, as early as possible, if they want to give a seminar, and let them know how much time to prepare. If no seminars, adjourn the week early.

21 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation HWT Technology Situational Awareness Display (SAD) AWIPS Available at every workstation Can be “localized” to any WFO Will ingest WDSSII multi-radar and lightning grids Can use WarnGen and issue experimental warnings Experiment Stations: WDSSII/LMA Station PAR station CASA station WDSSII and Google Earth available at all workstations Situational Awareness Display (SAD) AWIPS Available at every workstation Can be “localized” to any WFO Will ingest WDSSII multi-radar and lightning grids Can use WarnGen and issue experimental warnings Experiment Stations: WDSSII/LMA Station PAR station CASA station WDSSII and Google Earth available at all workstations

22 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation HWT: EWP Operations Area

23 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Feedback from the forecaster/evaluators The WC will gather forecaster/evaluator feedback during shifts, from the cognizant scientists during archive playback, and during the daily and Friday briefings. Written and/or electronic Surveys Quotes and testimonials Live blog EWP Blog weekly summaries. The WC will gather forecaster/evaluator feedback during shifts, from the cognizant scientists during archive playback, and during the daily and Friday briefings. Written and/or electronic Surveys Quotes and testimonials Live blog EWP Blog weekly summaries.

24 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Communications (EWP Blog) Objective: To share our information and to provide a few metrics and/or feedback from the participants. Live Blogging – during IOPs! WC writes short daily summary entry after shift (that night) or next morning. WC writes weekly summary with more detail to be completed by the following Monday. Any participant may add more blog entries with additional details at various times throughout experiment. We encourage the visiting forecasters to provide a summary of their experiences with the testbed, which we can then post to the blog. Objective: To share our information and to provide a few metrics and/or feedback from the participants. Live Blogging – during IOPs! WC writes short daily summary entry after shift (that night) or next morning. WC writes weekly summary with more detail to be completed by the following Monday. Any participant may add more blog entries with additional details at various times throughout experiment. We encourage the visiting forecasters to provide a summary of their experiences with the testbed, which we can then post to the blog.

25 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation EWP Web Page External (public) http://ewp.nssl.noaa.gov Content: u General Information about the EWP u 2007 and 2008 summaries Internal (private) https://secure.nssl.noaa.gov/projects/ewp2009 u NOAA LDAP user and password u Non-NOAA folks will also have access if IP is provided u Can be accessed from any machine within HWT Ops Area and the OU Wifi network Content: u The EWP Blog u Schedules (Google Calendar) u Operations Manuals u Experiment PowerPoint Briefings External (public) http://ewp.nssl.noaa.gov Content: u General Information about the EWP u 2007 and 2008 summaries Internal (private) https://secure.nssl.noaa.gov/projects/ewp2009 u NOAA LDAP user and password u Non-NOAA folks will also have access if IP is provided u Can be accessed from any machine within HWT Ops Area and the OU Wifi network Content: u The EWP Blog u Schedules (Google Calendar) u Operations Manuals u Experiment PowerPoint Briefings

26 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation The Experiments

27 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation WDSSII Multiple-Radar Multiple-Sensor Applications

28 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation WDSSII Objectives To evaluate the accuracy and the operational utility of multiple- radar/multiple-sensor severe weather algorithms, provided by the Warning Decision Support System – Integrated Information (WDSSII), in supporting NWS hazardous convective weather warning decision making. We would like our participants to: Provide feedback on the ability of these applications to enhance traditional base-radar data analysis in warning decision making. Suggest improvements or new multiple-radar/sensor products that will aid warning decision making. Receive an introduction to the new products, after which the products will be available (via Google Earth) to use in operations after the participants return to their forecast offices. To evaluate the accuracy and the operational utility of multiple- radar/multiple-sensor severe weather algorithms, provided by the Warning Decision Support System – Integrated Information (WDSSII), in supporting NWS hazardous convective weather warning decision making. We would like our participants to: Provide feedback on the ability of these applications to enhance traditional base-radar data analysis in warning decision making. Suggest improvements or new multiple-radar/sensor products that will aid warning decision making. Receive an introduction to the new products, after which the products will be available (via Google Earth) to use in operations after the participants return to their forecast offices.

29 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Lightning Mapping Array (LMA) Experiment LMA visualization and attribute extraction (Courtesy: Scott Rudolsky, Florida State University)

30 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation LMA Experiment Objectives To evaluate the accuracy and the operational utility of three-dimensional Lightning Mapping Arrays (LMA) in supporting NWS hazardous convective weather warning decision making, specifically: Ability of flash rate trends and other lightning data to contribute to warning decision making Utility of lightning data in radar-poor areas Impact of the ~1 min time resolution Comparison of lower and higher space resolutions for GOES-Global Lightning Mapper (GLM) proxy evaluation Relationships with other multi-sensor derived products, including storm- classification, hail size and circulation algorithms, as well as convective initiation, convective overshoot, and enhanced-V algorithms using visible and infrared channel satellite data. To evaluate the accuracy and the operational utility of three-dimensional Lightning Mapping Arrays (LMA) in supporting NWS hazardous convective weather warning decision making, specifically: Ability of flash rate trends and other lightning data to contribute to warning decision making Utility of lightning data in radar-poor areas Impact of the ~1 min time resolution Comparison of lower and higher space resolutions for GOES-Global Lightning Mapper (GLM) proxy evaluation Relationships with other multi-sensor derived products, including storm- classification, hail size and circulation algorithms, as well as convective initiation, convective overshoot, and enhanced-V algorithms using visible and infrared channel satellite data.

31 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation Phased Array Radar Innovative Sensing Experiment (PARISE)

32 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation PARISE - Motivation WSR-88D is approaching its 20- year life span Possible replacement is PAR technology Next generation radar? Beyond 2020 Volume scans in less than 60 seconds at current data quality Multi-purpose use No moving parts Next generation radar? Beyond 2020 Volume scans in less than 60 seconds at current data quality Multi-purpose use No moving parts

33 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation PARISE Objectives To evaluate the operational utility of Phased Array Radar (PAR) technology during real- time operational warning situations and through playback of archive cases. To demonstrate and obtain forecaster feedback on basic adaptive electronic scanning of weather echoes. To demonstrate and obtain forecaster feedback on storm-type optimized scanning strategies for surveillance of storm initiation and severe storms. To evaluate the operational utility of Phased Array Radar (PAR) technology during real- time operational warning situations and through playback of archive cases. To demonstrate and obtain forecaster feedback on basic adaptive electronic scanning of weather echoes. To demonstrate and obtain forecaster feedback on storm-type optimized scanning strategies for surveillance of storm initiation and severe storms.

34 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation CASA Collaborative Adaptive Sensing of the Atmosphere © 1998 Prentice-Hall, Inc. -- From: Lutgens and Tarbuck, The Atmosphere, 7 th Ed. Low to the ground Adaptive Low cost $$$$$$$ $ $ $ 0-3 km Network of small radars

35 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation KCYR KSAO KLWE KRSP Central Oklahoma Prototype Network

36 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation CASA’s EWP Objectives To evaluate the accuracy and operational utility of Collaborative Adaptive Sensing of the Atmosphere (CASA) dense radar networks for severe weather decision-making through real time warning situations and structured experiments with archived data. Assess how CASA products improve severe weather assessments and warning decisions in combination with current technology: u Reflectivity and velocity products u RHI scans u Real time dual Doppler wind products u Real time Nowcasts and NWP products Assess the strengths and limitations of CASA’s technical capabilities: u Lower troposphere coverage u High spatial resolution data u 1 minute refresh rate u Adaptive sector scans driven by user needs To evaluate the accuracy and operational utility of Collaborative Adaptive Sensing of the Atmosphere (CASA) dense radar networks for severe weather decision-making through real time warning situations and structured experiments with archived data. Assess how CASA products improve severe weather assessments and warning decisions in combination with current technology: u Reflectivity and velocity products u RHI scans u Real time dual Doppler wind products u Real time Nowcasts and NWP products Assess the strengths and limitations of CASA’s technical capabilities: u Lower troposphere coverage u High spatial resolution data u 1 minute refresh rate u Adaptive sector scans driven by user needs

37 Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation EWP Final Thoughts This is a research experiment… …therefore, expect to be glitches, bugs, and wrinkles! Try to focus beyond these glitches toward the bigger picture: To the future of NWS warning operations To the future of NWS warning technology (e.g., AWIPS2). This is a research experiment… …therefore, expect to be glitches, bugs, and wrinkles! Try to focus beyond these glitches toward the bigger picture: To the future of NWS warning operations To the future of NWS warning technology (e.g., AWIPS2).


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