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Analysis of Weather Forecast Impacts on United States Air Force Combat Operations

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Analysis of Weather Forecast Impacts on United States Air Force Combat Operations Thesis Research Project by Major Karen Darnell, USAF Naval Postgraduate School (NPS) – PowerPoint PPT presentation

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Title: Analysis of Weather Forecast Impacts on United States Air Force Combat Operations


1
Analysis of Weather Forecast Impacts on United
States Air Force Combat Operations
  • Thesis Research Project by
  • Major Karen Darnell, USAF
  • Naval Postgraduate School (NPS)
  • kmdarnel_at_nps.edu
  • Advisors Prof Tom Murphree, NPS
  • Col Dave Smarsh, NPS
  • AFWA/CC Briefing
  • 16 March 2006
  • Research supported in part by funding from Office
    of Naval Research and Space and Naval Warfare
    Systems Center


2
Motivation and Goals
  • CWT Challenges
  • AFMAN 15-129 AFI 15-114 measure relevancy of
    AFW products to customers, conduct operational
    verification, develop process improvement
    metrics, and operator debriefs (face-to-face
    preferred)
  • Air Force Audit Agency Report released Sep 2005
    deficiencies in customer feedback processes, no
    standard procedure in AFIs
  • Manpower not adequate to embed, high number of
    deployments
  • Goals
  • Adapt existing web-based, near-real time system
    for collecting and analyzing data
  • Implement and test system to assess value AFW,
    ACC, PACAF
  • Use results to provide AFW, ACC, and PACAF advice
    on how to alter procedures and allocation of
    resources to better accomplish goals

Maj Darnell NPS AFWA/CC Brief, 16 Mar 06, POC
kmdarnel_at_nps.edu
3
Data and Methods
  • Data
  • From aviators Beale AFB (U-2), Dyess AFB (B-1),
    Kunsan AB (F-16), Nellis AFB (A-10), Osan AB
    (A-10 F-16), Whiteman AFB (B-2)
  • Type planning/execution forecasts, mission
    planning impacts due to forecasts,
    aircrew-observed weather, operational impacts of
    weather on mission
  • Timeframe Oct 05 Jan 06
  • NPS AF aviator survey
  • Methods
  • Paper copy and online forms from aviators
    (predominantly flight leads)
  • Data archived and analyzed in close to near-real
    time at NPS to calculate forecast performance and
    operational impacts metrics

Maj Darnell NPS AFWA/CC Brief, 16 Mar 06, POC
kmdarnel_at_nps.edu
4
Results
  • 107 Missions Analyzed 82 Successful, 7
    Unsuccessful, 11 Unknown
  • Osan AB 40
  • Dyess AFB 17
  • Whiteman AFB 16
  • Kunsan AB 14
  • Nellis AFB 8
  • Beale AFB 5
  • F-16 38 A-10 24
  • B-1 17 B-2 16
  • U-2 5
  • http//wx.met.nps.navy.mil/metrics/airforc
    e
  • PWFs indicated negative weather impacts 36
  • Mission plans changed due to PWFs 21
  • MEFs indicated negative weather impacts 39
  • Mission plans changed due to MEFs 21
  • Missions that experienced negative wx impacts
    36

Maj Darnell NPS AFWA/CC Brief, 16 Mar 06, POC
kmdarnel_at_nps.edu
5
Results
Negative Mission Impacts Occurring
Mission Plan Changes
Positive Mission Contribution
Potential Positive Mission
Contribution
Maj Darnell NPS AFWA/CC Brief, 16 Mar 06, POC
kmdarnel_at_nps.edu
6
Recommendations for AFW
  • Include system in AFI 15-114 as prototype for
    customer feedback and metrics
  • Compare mission success at bases with embedded vs
    non-embedded wx personnel
  • Direct RD, ET funds toward surface visibility,
    cloud ceilings and cloud layers
  • Educate aviators on wx products via IRC
  • Adapt this system to OWSs

Maj Darnell NPS AFWA/CC Brief, 16 Mar 06, POC
kmdarnel_at_nps.edu
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