GOES-R Support to Future NWS Weather Applications

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GOES-R Support to Future NWS Weather Applications
NOAAs National Weather Service

• Dr. Frank P. KellyNWS Office of Science and
  Technology
• Third GOES-R Users Conference
• May 12, 2004Broomfield, CO

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Future Observing Systems Observing System Trends
to Support Weather Applications

• How Can GOES-R Contribute to Each of These
  Categories?
• Integrated Observing Systems
• Increasing Resolution (temporal, spatial, and
  spectral)
• Increasing Parameters Observed
• Improving User End of the End-to-End Process

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Integrated Observing Systems

• Improve temporal, spatial, and spectral
  resolution
• Obtain observations of new environmental elements
• Integrate multi-purpose observing systems and
  networks within an extensible enterprise
  architecture (EA)
• Determine where GOES-R data can complement the
  current and planned systems

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Integrated Observing Systems Objectives

• Deliver required improvements in observational
  capabilities
• - Focus improvements to do more with existing
  capabilities
• - Provide complete sets of weather water data
  and applications when and where needed
• - Leverage non-NOAA resource opportunities and
  partnerships
• Build an effective system-of-systems
  infrastructure
• - Enhance performance, continuity and
  interoperability across NOAA
• - Bridge and coordinate research-to-operations
  across NOAA
• Establish efficient business processes
• - Exercise seamless control and timely ST
  infusion into operations
• - Balance investment strategy for near-term
  acquisition vs long-term RD

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Integrated Observing Systems Increasing
Resolution - Temporal

• NWS Requirements (from GOES Operational
  Requirements Documents)
• Imager
• Threshold CONUS every 5 min full disk every 15
  min
• Goal CONUS every 1 min full disk every 15 min
• Sounder
• Threshold 12000x12000 km every 60 min
• Goal full disk every 60 min
• Alleviate the current full disk versus mesoscale
  conflict
• Better monitoring and detection of significant
  weather events (continuous 5 min imagery)
• - Hurricanes, thunderstorms

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Integrated Observing Systems Increasing
Resolution - Temporal

• For example, RSO is integral to NWS operations
• GOES-R capability available in normal
  operating mode

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Integrated Observing Systems Increasing
Resolution - Spatial

• NWS Requirements
• Imager
• Threshold VIS 0.5 km IR 2 km
• Goal VIS 0.2 km IR 0.5 km
• Sounder
• Threshold 10 km
• Goal 2 km
• Better monitoring and detection of significant
  weather events
• Inside eye of hurricane, thunderstorm outflows,
  fog, fires, smoke, turbulence, instability,
  winter storms

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Integrated Observing Systems Increasing
Resolution - Spatial

• For example, monitor fires and smoke plumes
• Monitor fog/stratus
• Monitor hurricanes

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Integrated Observing Systems Increasing
Resolution - Spectral

• NWS Requirements
• Imager
• Threshold 8 channels
• Goal 19 channels
• Sounder
• Threshold temp 1K/1km humidity 10
• Goal temp 1K/1km humidity 10
• Increased spectral resolution will allow
  discrimination among different parameters
• Better vertical resolution in profiles (0.5-2 km)

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Integrated Observing Systems Parameters Observed

• GOES-R can measure increased number of parameters
  
• - Lightning (land and ocean), solar (energetic
  particles, auroral boundary, neutral density
  profile, etc), cloud characteristics (particle
  size distribution, phase, etc)
• GOES-R can better measure key parameters
• - Fog, winds, stability, SST, ozone, aerosols,
  profiles, soil moisture, vegetative
  type/greenness, etc

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Integrated Observing Systems Parameters Observed

• Higher resolution SST, vegetation, cloud phase
• New services ozone forecasts

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Improving User End of the End-to-End Process

• Need to develop strategies for
• Dissemination
• Display/Application
• Assimilation
• Training

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Strategy to Improve Dissemination

• Increase in data volumes would overload current
  bandwidth
• What is the concept of operations?
• - Central production of images/products (current
  paradigm)
• - Delivery of raw data to WFOs/RFCs and produce
  images/products locally
• Algorithms could be centrally managed
• Strategy
• Coordination and collaboration among NWS and
  NESDIS is necessary to ensure a cost effective
  solution is chosen
• Form Integrated Work Team to deal with
  dissemination issues

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Strategy to Improve Display/Applications

• AWIPS is the NWS vehicle for display and
  interaction with satellite data
• Current capabilities
• Imagery is good
• Others need work
• For example, profiles and winds are not easy to
  load and/or manipulate
• Strategy
• Collaboration among NESDIS, OAR (FSL), and NWS to
  improve display/applications capabilities
• Inclusion of satellite data in digital forecast
  process
• Tailored products to aid the digital forecast
  paradigm
• - Form Integrated Work Team to deal with data
  display/applications issues

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Strategy to Improve Assimilation

• Needed in the new digital forecast paradigm
• - Development of Analysis of Record
• Satellite data to fill in gaps in existing
  observing systems
• Used to verify digital forecasts
• Used in digital forecast process
• - Short term forecasting
• Tools needed to blend satellite data trends into
  digital forecast
• Strategy
• Collaboration among NESDIS and NCEP to ensure
  optimal use of new data
• Incorporate this into the Joint Center for
  Satellite Data Assimilation

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Strategy to Improve Training

• Many new products unfamiliar to forecasters
• Application of existing and new products in new
  ways
• Blending into short-term digital forecasts
• Verification of digital services
• Strategy
• Include training resources in overall GOES-R
  budget
• Develop training material for blended learning
• Distance learning
• Residence workshops
• Teletraining

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Summary

• GOES-R will provide service enhancements
• Improved support to core missions
• - Protection of life and property
• - Enhance the National Economy
• New services supported
• - Air quality
• Homeland Security
• Coast, estuaries, oceans
• Goals
• Integrate GOES-R in the Integrated Observing
  System
• Take advantage of increased resolution and
  parameters observed
• Improve the End-to-End Process
• Implement new satellite data/products more
  quickly after launch
• Size end-to-end system processing and computing
  resources to accommodate data volume increase