Satellite Training and Education Connecting to Proving Ground

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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
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Key Points for Training

• How does Satellite Training Community connect
  with GOES-R Proving Ground?
• Evolving Technology Operations
• Feedback/Issues from Users/Trainers
• Product Integration - GEO LEO Blended TPW
  Lessons Learned!

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NOAA Training Community

• Dedicated NWS Training Division
• Many Partners in NOAA
• NESDIS Cooperative Institutes Programs
• Other US Agencies (DOD, Interior, DOT, )
• International
• EUMETSAT, WMO Space Programme Virtual Laboratory,
  Canada/MSC,
• Centres of Excellence,
• Focus Groups,

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NOAA COMET EUMETSAT - WMOWorking Together
for Satellite Training
GOES Proving Ground
Users Developers
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NWS Training, VISIT COMET Impacts Performance

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

Reach ALL NOAA Forecasters, Hydrologists,
Scientists Managers
Aviation, Climate, Decision Support, Fire WX,
Hydrology, NWP, Ocean, Tropical,
Tsunami, Winter Wx, International,
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How Does Training Program Work?
Design-Develop Training Implementation Plan
Analyze Needs
Evaluate
Implement via LMS
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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

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

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Proving Ground Training

• Evolving NOAA Operations
• Decision Support Services - DSS

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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

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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)
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NWS DSS What is It?Innovative Visualization
Interpretation

• Fast, responsive visually intuitive
  impact-based products for plumes fire wx
• Currently, WFOs must request HYSPLIT run from
  NCEP (20 min delay)
• Model may not take advantage of current mesonet
  data (e.g., MADIS)

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IssueIncreased Data Flow Fire Hoses Geysers
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Current StatusIncreased 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!

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Five Order of Magnitude Increase in Satellite
Data Over Fifteen Years (2000-2015)
NCEP Observational Data IngestMostly Satellite
Radar
Daily Percentage of Data Ingested into
Models (Not Counting Radar)
Daily Satellite Radar Observation Receipt Counts
Level 2 Radar
2008 Data
1.7 B obs
1.7 B
100
210 M obs
Received Data
125 M obs
Selected Data
Assimilated Data
100 M obs
Count (Millions)
17.3M
7
6.6M
2
2000
1990
2015
2008
Received All observations received
operationally from providers Selected
Observations selected as suitable for
use Assimilated Observations actually used by
models
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Key Future Satellite Requirements

• Latency
• - 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 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

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Future Satellite Requirements Cont.

• Ease 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 todays
  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 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

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Training Ideas

• Prior 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 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.

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SolutionData Integration/Synergy Blended TPW
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SolutionData Integration/Synergy Blended TPW
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SolutionIncreased Data Flow Data Integration
NextGen
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What is NextGen -4-D Weather Cube?

• 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.

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The NextGen 4-D WeatherCubeA Conceptual Model
Observations
Forecasting
Numerical Modeling Systems
Satellites
Network Enabled Operations
Statistical Forecasting Systems
NWS Forecaster

Data Integration
Radars
4D Wx Cube
Aircraft
4D Wx SAS
Automated Forecast Systems
Surface
Forecast Integration
Soundings
Grids
Custom Graphic Generators
Decision Support Systems
Custom Alphanumeric Generators
Integration into User Decisions
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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?

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Contact Information
Brian Motta_at_noaa.gov Anthony.Mostek_at_noaa.gov VISIT
- rammb.cira.colostate.edu/visit/visithome.asp CO
MET METED - meted.ucar.edu NOAA LMS -
https//doc.learn.com/noaa/nws Proving Ground
cimss.ssec.wisc.edu/goes_r/proving-ground.html
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IssueIncreased Demand for DSS Whos Driving It?

• Federal, State Local government officials
• Emergency Managers/First Responders
• Departments of Transportation
• School Systems/Major Employers
• Fire Support Decision Makers
• Coastal Communities (e.g, rip currents, surge,
  erosion)
• Water Resource Managers at all levels
• Aviation/Transportation Weather Decision Support
• The American People!

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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