Satellite Training and Education Connecting to Proving Ground Anthony Mostek and Brian Motta NOAA/NWS/Training Division Mark DeMaria, James Gurka and Tim Schmit NOAA/NESDIS Boulder, CO 12 May 2009

Key Points for Training How does Satellite Training Community connect with GOES-R Proving Ground?How does Satellite Training Community connect with GOES-R Proving Ground? Evolving Technology & OperationsEvolving Technology & Operations Feedback/Issues from Users/TrainersFeedback/Issues from Users/Trainers Product Integration - GEO & LEO – Blended TPW – Lessons Learned!Product Integration - GEO & LEO – Blended TPW – Lessons Learned!

NOAA Training Community Dedicated NWS Training DivisionDedicated NWS Training Division Many Partners in NOAAMany Partners in NOAA –NESDIS Cooperative Institutes & Programs Other US Agencies (DOD, Interior, DOT, …)Other US Agencies (DOD, Interior, DOT, …) InternationalInternational –EUMETSAT, WMO Space Programme Virtual Laboratory, Canada/MSC, Centres of Excellence, Centres of Excellence, Focus Groups, … Focus Groups, …

NOAA – COMET – EUMETSAT - WMO Working Together for Satellite Training GOES Proving Ground Users & Developers NOAA/EUMETSAT Bilateral Program VISIT (CIRA/CIMSS) UCAR/COMET WMO (VL & FG) NWS Training Division

1)Tornado Warning - Lead Time 2)Tornado Warning - Accuracy 3)Tornado Warning – False Alarm Ratio 4)Flash Flood Warning – Lead Time 5)Flash Flood Warning – Accuracy 6)Winter Storm Warning – Lead Time 7)Winter Storm Warning – Accuracy 8)Hurricane Track Forecasts (48 Hrs) 9)Hurricane Intensity Error (Knots) 10)Aviation Forecast – Accuracy 11)Aviation Forecasts – False Alarm Ratio 12)U.S. Seasonal Temperature – Skill 13)Precipitation Forecast – Day 3 Accuracy 14)Marine Wind Speed – Accuracy 15)Marine Wave Height - Accuracy Aviation, Climate, Decision Support, Fire WX, Hydrology, NWP, Ocean, Tropical, Tsunami, Winter Wx, International, … Reach ALL NOAA Forecasters, Hydrologists, Scientists & Managers NWS Training, VISIT & COMET Impacts Performance

How Does Training Program Work? Analyze Needs Design-Develop Training – Implementation Plan Implement via LMS Evaluate

Next Key Point GOES-R Satellite Proving Ground prepares for –Rapidly Evolving Technology & Operations –GEOSS & Decision Support Services –Evolving User and Societal Needs –Expanding Target Audience/ End Users

NWS Alaska Region Anchorage, Alaska NWS Alaska Region Anchorage, Alaska Cooperative Institute for Meteorological Satellite Studies Madison, Wisconsin Cooperative Institute for Meteorological Satellite Studies Madison, Wisconsin Cooperative Institute for Research in the Atmosphere Fort Collins, Colorado Cooperative Institute for Research in the Atmosphere Fort Collins, Colorado NCEP Storm Prediction Center; Norman, OK WFO; National Severe Storms Laboratory; University of Oklahoma; Cooperative Institute for Mesoscale Meteorological Studies Norman, Oklahoma Hazardous Weather Testbed- Experimental Forecast and Warning Programs NCEP Storm Prediction Center; Norman, OK WFO; National Severe Storms Laboratory; University of Oklahoma; Cooperative Institute for Mesoscale Meteorological Studies Norman, Oklahoma Hazardous Weather Testbed- Experimental Forecast and Warning Programs NCEP Tropical Prediction Center Joint Hurricane Testbed Miami, Florida (Planned for FY2010) NCEP Tropical Prediction Center Joint Hurricane Testbed Miami, Florida (Planned for FY2010) Green Bay, WI WFO Sullivan, WI WFO La Crosse, WI WFO Huntsville, AL WFO University of Alabama Huntsville NASA Short-term Prediction Research and Transition Center Huntsville, AL Huntsville, AL WFO University of Alabama Huntsville NASA Short-term Prediction Research and Transition Center Huntsville, AL Melbourne, FL WFO NASA Kennedy Space Center Melbourne, FL WFO NASA Kennedy Space Center Sterling, VA WFO Boulder, CO WFO Cheyenne, WY WFO Eureka, CA WFO NWS Central Region Kansas City, MO NWS Central Region Kansas City, MO Cooperative Remote Sensing Science and Technology Center New York, NY Cooperative Remote Sensing Science and Technology Center New York, NY NCEP: National Centers for Environmental Prediction NWS: National Weather Service WFO: Weather Forecast Office NWS Headquarters; Cooperative Institute for Satellite Climate Studies; Center for Satellite Applications and Research; Office of Satellite Data Processing and Distribution; GOES-R Program Office; University of Maryland Baltimore County Maryland NWS Headquarters; Cooperative Institute for Satellite Climate Studies; Center for Satellite Applications and Research; Office of Satellite Data Processing and Distribution; GOES-R Program Office; University of Maryland Baltimore County Maryland GOES-R Proving Ground Partners NWS Pacific Region Honolulu, Hawaii NWS Pacific Region Honolulu, Hawaii EPA Research Triangle Park, NC EPA Research Triangle Park, NC

MODIS & AVHRR in AWIPS

Proving Ground & Training GEOSS/DSS - Expanding Target Audience  Emergency Managers/Decision Makers  NOAA Staff (Forecasters, Scientists & Managers)  Modelers (Atmos, Ocean, Air Quality, etc.)  Renewable Energy  Climate Services  International Community  FAA & Other Agency Scientists  Coastal Service Centers & Oceanographers  Media (meteorologists & journalists)  University faculty & students

Proving Ground & Training Evolving NOAA Operations Decision Support Services - DSS

12 NWS DSS - What is It? Painting Complete Picture Quickly NWS DSS - What is It? Painting Complete Picture Quickly New Decision Tools created by team of Social Scientists with Emergency Managers Visualizations of inundation “impact” for various flooding scenarios Visualization of uncertainty model inputs for clear understanding of predictions Allows local knowledge to be incorporated into impacts (inundation and costs) Fusion/organization of information for clear understanding of relationships and enhanced orientation

13 NWS DSS – What is It? Innovative Visualization & Interpretation NWS DSS – What is It? Innovative Visualization & Interpretation Leverage weather & water modeling expertise with innovative visualization graphics to provide products with impact to decision makers. Inundation simulation for Isabel at DCA (image at left)

14 NWS DSS – What is It? Innovative Visualization & Interpretation Fast, responsive & visually intuitive impact-based products for plumes & fire wxFast, responsive & visually intuitive impact-based products for plumes & fire wx Currently, WFOs must request HYSPLIT run from NCEP (20 min delay)Currently, WFOs must request HYSPLIT run from NCEP (20 min delay) Model may not take advantage of current mesonet data (e.g., MADIS)Model may not take advantage of current mesonet data (e.g., MADIS)

15 Issue: Increased Data Flow – Fire Hoses & Geysers

16 Current Status: Increased Data Flow – Hose to Trickle? - Over 2 gigabytes of satellite now - Major processing/comms challenges - Difficult to add obs/products into operations - Opportunities to improve before launch!

17 Five Order of Magnitude Increase in Satellite Data Over Fifteen Years ( ) Count (Millions) Daily Satellite & Radar Observation Receipt Counts M obs 125 M obs Level 2 Radar 210 M obs NCEP Observational Data Ingest Mostly Satellite & Radar Received Data Daily Percentage of Data Ingested into Models (Not Counting Radar) Selected Data 100% 7% Assimilated Data 1.7 B 17.3M 6.6M 2% 2008 Data Received = All observations received operationally from providers Selected = Observations selected as suitable for use Assimilated = Observations actually used by models 1.7 B obs 2008

Key Future Satellite Requirements LatencyLatency - Current availability is not always adequate to meet operational requirements (this is mainly true of polar orbiter imagery and data). - Increasing availability is necessary for the data to be of consistent use to the operational forecasters. AWIPS AvailabilityAWIPS Availability - Some of the useful data is currently unavailable in AWIPS (the primary tool used by the operational meteorologist to issue forecasts, watches, warnings and advisories). - Plans must be made to incorporate new satellite products in AWIPS if the NWS is going to benefit from the increase in Satellite Capabilities. Thanks to Frank Alsheimer and Jon Jelsema, CHS, SC

Future Satellite Requirements Cont. Ease of AWIPS interrogationEase of AWIPS interrogation - Currently, it is a several step process to get POES and GOES sounder data. It should be a click-and-go process. - Further, there needs to be an interactive sampling capability (similar to the way today’s environmental standard data package and pop-up SkewT works). This is especially true of the GOES sounder data which is at least somewhat regular. Quick turnaround from research to operationsQuick turnaround from research to operations - Right now, it can be a very cumbersome and time consuming process to get new data onto the AWIPS data feed (OSIP). While we have used the LDM as a backdoor for some products, this should not have to be SOP. - GOES proving ground and AWIPS2 (AWIPSNEXT) could be very beneficial in this arena BANDWIDTH

Training Ideas Prior to Data AvailabilityPrior to Data Availability –The science behind the “new and improved” data –High resolution simulations presenting the “look” of new data images in our AWIPS systems –Examples of improvement in models due to data inclusion (a seemingly large gap currently exists). –Examples of current data gaps and how the new data will help fill those gaps After Data is AvailableAfter Data is Available –Case studies and simulations on AWIPS/WES covering situations where the use or addition of satellite data led to improved decision-making by forecasters. Current DLAC2 is a good example.

21 Solution: Data Integration/Synergy– Blended TPW

22 Solution: Data Integration/Synergy– Blended TPW

23 Solution: Increased Data Flow Data Integration – NextGen

24 What is NextGen - 4-D Weather Cube? 4-Dimensional (4-D) Weather (Wx) Cube (3 dimensions plus time) will contain:4-Dimensional (4-D) Weather (Wx) Cube (3 dimensions plus time) will contain: –Continuously updated weather observations (surface to low earth orbit, including space weather and ocean parameters) –High resolution (space and time) analysis and forecast information (conventional weather parameters from numerical models) –Aviation impact parameters –Turbulence –Icing –Convection –Ceiling and visibility –Wake vortex –4-D Wx Cube will contain “all” weather data, not just aviation parameters.

25 The NextGen 4-D WeatherCube: A Conceptual Model 4D Wx Cube Custom Graphic Generators Custom Graphic Generators Integration into User Decisions Decision Support Systems Decision Support Systems Custom Alphanumeric Generators Custom Alphanumeric Generators Observations Numerical Modeling Systems Numerical Modeling Systems Statistical Forecasting Systems Statistical Forecasting Systems NWS Forecaster NWS Forecaster Forecasting Automated Forecast Systems Automated Forecast Systems Forecast Integration 4D Wx SAS Radars Aircraft Surface Satellites Soundings

Food for Thought How can Training Program work most effectively with Proving Ground/Development Communities? Rapid Expansion in Technology & Operations:  How to get Products & Services to more Users both Inside and Outside of NOAA?  Does NOAA Need to Improve how it prepares for and deploys new technology?

Contact Information Brian VISIT - rammb.cira.colostate.edu/visit/visithome.asp COMET METED - meted.ucar.edu NOAA LMS - Proving Ground – cimss.ssec.wisc.edu/goes_r/proving-ground.html Brian VISIT - rammb.cira.colostate.edu/visit/visithome.asp COMET METED - meted.ucar.edu NOAA LMS - Proving Ground – cimss.ssec.wisc.edu/goes_r/proving-ground.html

28 Issue: Increased Demand for DSS Who’s Driving It? Federal, State & Local government officialsFederal, State & Local government officials Emergency Managers/First RespondersEmergency Managers/First Responders Departments of TransportationDepartments of Transportation School Systems/Major EmployersSchool Systems/Major Employers Fire Support Decision MakersFire Support Decision Makers Coastal Communities (e.g, rip currents, surge, erosion)Coastal Communities (e.g, rip currents, surge, erosion) Water Resource Managers at all levelsWater Resource Managers at all levels Aviation/Transportation Weather Decision SupportAviation/Transportation Weather Decision Support The American People!The American People!

Training Ideas It is important to keep in mind that operational forecasters at an NWS WFO are constantly bombarded with information from satellite, radar, mesonets, unofficial observations, oodles of model solution data (both deterministic and ensemble), etc. It can become a data management nightmare. To get forecasters to use any particular set of data, it must: –Be easily available –Be understandable –Be accurate –Be reliable –Be proven superior to (or at least equal to) other options for the problem at hand