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GOES Users

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GOES USERS CONFERENCE III: Discussion Highlights Hydrological/Water Resources Applications – PowerPoint PPT presentation

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Title: GOES Users


1
GOES USERS CONFERENCE IIIDiscussion
HighlightsHydrological/Water Resources
Applications
2
Themes
  • Increased inclusion of end-users
  • Early and continuous engagement of users
    (Government, researchers, valu-added private
    sector and others, i.e. Universities, states and
    counties
  • Emphasis shift
  • Government non-government users beyond NOAA
  • Several levels of training
  • Time
  • Tiers
  • Increase lnter-disciplinary data integration
  • Adaptive processes
  • Cast all factors into 2012 and beyond

3
1) Needs for Data and Product Distribution
  • Precipitation
  • Skin temperature
  • Snow water equivalent/snow extent
  • Soil moisture
  • Potential evapotranspiration parameters (Solar
    radiation, wind speed, relative humidity, etc.)
  • Vegetation cover/land use

4
2) User Community Training
  • When should training start?
  • Earlier in schools, research organizations,
    universities
  • Closer to launch for operational people.
  • Training methods?
  • Limitations of the data capabilities
  • Hybrid quantitative/imaging (how to interpret)
  • Information processing/GIS
  • Change in role of human forecaster
  • Early training outreach?
  • Mamma says butter up the evil people (Budget
    decision makers)
  • RFPs to universities to demonstrate benefits of
    GOES-R
  • Target users to deliver value message
  • Industry users
  • Instrument builders
  • Change in culture- Intro to new tools, need to
    start early, capacity building now

5
3) NOAA/NESDIS Preparation for GOES-R
  • Which ways are most important?
  • Show intercomparisons of products/data between
    the current GOES and future GOES-R series
  • Developing and validating products
  • Powerpoint files/website for background
    information
  • Provide test datasets in advance
  • Consult users on specific error info they need
    and other metadata needs
  • Other venues/forums
  • Participate in other satellite conferences
    remote sensing workshops/virtual conferences
  • Academia
  • Water resources conferences
  • Private conferences (i.e. Emergency users)

6
3) NOAA/NESDIS Preparation for GOES-R
(Continued)
  • Other ways NOAA/Nesdis/Hydrology program can
    help?
  • Budget accordingly and addapt to new budget
    process
  • Keep hydrologists in the loop (i.e. Dont let the
    meteos hijack the process
  • Continuous interdisciplinary outreach

7
4) GOES-R Risk Reduction
  • Operations applications of in current
    organizations 3 tiers of users
  • Develop prototype products well in advance for
    user evaluation and feedback
  • Work closely between developers of products
  • Provide comprehensive scenarios/case studies for
    various programs
  • Involve academia and science early in algorithm
    development and evaluation

8
4) GOES-R Risk Reduction (Continued)
  • Feedback mechanism for end users to describe
    needs
  • Early definitioin of products and services
  • More observation systems simulations experiments
    (OSSEs)
  • Early development of tools for applicaiton of
    data
  • Provide simulated data to test and validate data
    processing and distribution systems i.e. Data
    storage, data rates
  • Validation/verification of algorithms

9
5) User Readiness Timeline
  • Use other professional organizations to spread
    the word
  • AMS, NWR, AWR, AGU, ASCE, IEEE, WMO, IAF
  • User involvement with scenarion based
    appreciation
  • Fire fighting
  • Storm surge and precipitation-caused flooding
  • Flexible
  • Adjust to new info processing, digital services,
    GIS
  • New budgets/schedule
  • Coordinate with NPOESS other programs

10
6) Other Comments
  • Make guest speakers available
  • Particularly, target professional conferencees
    academic forums
  • Provide mechanisms for implementing testing new
    discoveries into operational product system.
  • Network of ground truth sites
  • Target international organizations
  • Study impact/benefits in the social sciences
  • Data integration across multiple platforms
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