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GOESR Series Proving Ground:

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Title: GOESR Series Proving Ground:


1
GOES-R Series Proving Ground
  • Jim Gurka
  • Tim Schmit
  • Tom Renkevens
  • NOAA/ NESDIS
  • Tony Mostek
  • NOAA/NWS
  • Dick Reynolds
  • Short and Associates

2
Recurring Messages from Past Conferences
  • Users Systems must be ready on Day 1
  • Re-package products to support multiple levels of
    users
  • User education is critical
  • User input is critical
  • GOES-R System should be tested end-to-end before
    launch
  • Use proving ground/ testbed approach

3
What is a Proving Ground?
  • Place where technologies and ideas are tested and
    proven before being fielded in operations
  • Evaluates how infusion of technology or process
    in Forecast Warning Environment impacts
    operations
  • How does technology or process integrate with
    other available tools?
  • Key component operational testing by staff that
    is independent of the development process
  • Key Benefit Users accept new technology/products
  • Have had a say in design/evaluation
  • Design better fits identified needs

4
Key Components of Proving Ground
  • Ability to fully test individual integrated
    components
  • Testing which simulates routine low-end events
    high-end non-routine events
  • Testing using archived events simulations
    live events
  • Test team independence made up of test experts,
    trainers, and operational users
  • Ability to make recommendations to decision
    makers based on test findings

5
Proving Ground Approach for GOES-R
  • Fund equivalent of 1 extra person at 3 NWS
    forecast offices
  • Support from FY 08 to 16
  • Candidate Locations
  • Ft. Collins (CIRA)/BOU and CYS
  • Madison (CIMSS)/Sullivan WFO
  • Huntsville (SPoRT/WFO)
  • Leverage existing Testbeds Norman and Boulder
  • Sterling WFO
  • Fairbanks/ Anchorage

6
Recommendations from GUC-4
  • Proving Ground/ Testbed Concept
  • Proving Ground is ultimate tool to ensure user
    readiness
  • - Use proxy and simulated data sets to test and
    validate processing and distribution systems
  • Validate new or improved products
  • Validate/ optimize decision aids
  • Optimize product display techniques
  • Environmental event simulator for user education
  • Venue for direct user input
  • Proven successful in NEXRAD program

7
Proving Ground Progress in 2008
  • GOES-R program initiates funding 600K/yr
  • Kick-Off Workshop May 2008 in Boulder
  • GOES-R Program Office Ground System Project
  • Algorithm Working Group (AWG)
  • CIMSS
  • CIRA
  • SPoRT
  • Several NWS Offices
  • Organizational Meeting - June 16, 2008
  • Alaska Region Meeting July 2008
  • Goal Draft Plans 2008-2018 (end of FY 2008)

8
Recommendations from GUC-4
  • Use proxy and simulated data sets to test and
    validate data processing and distribution
    systems
  • MODIS
  • AIRS
  • IASI
  • SEVIRI
  • NAST-I
  • NPP/ VIIRS/ CrIS
  • Computer Simulated atmospheres
  • Lightning networks

9
Recommendations from GUC-4
  • Progress on proxy simulated GOES-R data sets
  • Algorithm Working Group (AWG) has team dedicated
    to developing proxy GOES-R data
  • CIMSS CIRA developing proxy GOES-R datasets
    from MODIS/ SEVIRI
  • CIMSS SPoRT providing MODIS to WFOs
  • CIMSS CIRA developing computer simulated
    atmospheres/ imagery with ABI data attributes
  • CIMSS demonstrating synergy between high spectral
    resolution AIRS and high temporal resolution ABI

10
ABI Data from current satellites
Cirrus Clouds
Heritage, clouds, etc
Aerosols
Vegetation
Snow, Cloud phase
Fog, Fires, clouds, etc
Water Vapor
Particle size
WV, Upper-level SO2
Vol. Ash, Cloud phase
Water Vapor
Total Ozone
Low-level Moisture
Surface features, clouds
Heritage, clouds, etc
Clouds
11
ABI 16-panel from NWP simulation(from CIMSS AWG
Proxy Data Team)
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23
Area Forecast Discussions
MAIN SHORT TERM FORECAST PROBLEM IS EAST FLOW AND
MARINE LAYER INFLUENCE OVER EASTERN
WISCONSIN...AND DENSE FOG POTENTIAL IN THE WEST.
THINK MOST OF THE DENSE FOG WOULD BE IN THE RIVER
VALLEYS...WITH A TENDENCY FOR PATCHY FOG AND SOME
STRATUS AGAIN IN THE EAST WITH MORE OF A
GRADIENT. MODIS 1 KM IMAGERY LAST NIGHT SHOWED
THE DENSE FOG IN LONE ROCK AND BOSCOBEL WAS
CONFINED TO THE IMMEDIATE WISCONSIN RIVER
VALLEY...IMPORTANT INFORMATION. THE LOCAL RIVER
VALLEY DENSE FOG IS NOT SEEN IN THE NORMAL 2 KM
4 km GOES. (HENTZ/MKX)
24
AWIPS
25
NAST-I Q(p) Nearby Raob
Andros Is. Bahamas 12 Sep 98
Raob
NAST
Altitude (km)
Relative Humidity ()
Smith et al, 2004
3km
Distance (75 km)
26
AIRS measurements overlay on GOES IR image
(Hurricane Dean)  
LEO data have limitation on monitoring hurricane
due to orbital gap and low temporal resolution
(Except NorLats) High temporal resolution is
unique aspect of GEO IR measurements
Why GEO?
Geostationary hyper-spectral sounders could
provide full hourly disk coverage rather than
partial coverage available with polar orbiting
sounders.
27
Aerosol/Dust Optical Thickness Retrieval Results
from SEVIRI_at_EUMETSAT
Figure courtesy of J. Li and P. Zhang
28
Ozone Detection
Strong convection can result in "a local maximum
of total ozone in the core of hurricane, and a
ring of low level of total ozone surrounding the
hurricane.
Hurricane Erin September 2001
http//www.nasa.gov/vision/earth/environment/ozone
_drop.html
29
Daily SST Movie Winter Feb - March 2006
30
GOES-E and GOES-W GLM View of CONUS and Adjacent
Oceans
Combined 10-yr LIS/OTD for January
160
110
The GLM full-disk is defined as the intersection
of circular and square Earth-centered
fields-of-view having minimum diameter 16.0o and
minimum length 15.1o respectively.
Combined 10-yr LIS/OTD for July
31
Recommendations from GUC-4
  • Need for Decision Aids
  • Volume of data products require use of decision
    aids to focus user attention
  • NEXRAD provides good model alerts for critical
    values of VIL, Gate-to-Gate Shear, TVS
  • Satellite candidates Enhanced V Fog formation
    Rapid changes in stability Mismatch between
    model forecasts/analyses satellite observation
    (clouds, water vapor, winds, precipitation,
    surface features, lightning, fog formation or
    dissipation, etc.)

32
Proving Ground Progress in 2008
  • Kickoff Meeting held May 2008 in Boulder
  • Over 30 participants from GPO, AWG, CIMSS, CIRA,
    NWS HQ, FSL, OSD, OSDPD, SPoRT, and STAR
  • Key messages there will not be stovepipe
    Proving Grounds for CIMSS, CIRA or SPoRTrather
    an integrated Proving Ground structure
  • Web site for Proving Ground is at
    (cimss.ssec.wisc.edu/goes_r/proving-ground.html)
  • NWS HQ field engaged in plans implementation
  • Organization Meeting held June 16
  • Key messagefor every product, tool or technique
    developed there must be a clear path to
    operational implementation.

33
Conclusions
  • Proving Ground recurring recommendation from
    past GOES User Conferences
  • Activities underwaystarted without GOES-R
    funding at CIMSS, CIRA SPoRT
  • Proven successful model from NEXRAD
  • Must be able to test individual and integrated
    components with independence from developers
  • Need real time and archived events
  • PG is the ultimate tool for user interaction
  • Must maintain focus on clear path to operations

34
6th GOES Users Conference
Bringing Environmental Benefits to a Society of
Users
November 35, 2009 Madison, WI
http//www.goes-r.gov http//cimss.ssec.wisc.ed
u/goes_r/meetings/guc2009/
November 2, 2009 -- 50th Anniversary of 1st
meteorological satellite experiment
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