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SREF Applications at AWC

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Clear air turbulence (CAT) T-RH-Vertical drift. Cloud water/ ice/snow ... Mountain obscuration (to be added) Algorithms. Levels/Regions. Products. Variables ... – PowerPoint PPT presentation

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Title: SREF Applications at AWC


1
SREF Applications at AWC
  • Dr. Steverino Silberberg
  • Aviation Weather Center
  • October 31, 2006
  • NCEP Ensemble Users Workshop

2
AWC-EMC Collaboration
  • Aviation-specific SREF guidance
  • Binbin Zhou, Jun Du, Jeff McQueen
  • probabilistic guidance for aviation weather
    forecasts
  • experimental

3
Aviation SREF Methodology
  • Generate aviation-related diagnostics variables
    in common post (ETA, WRF, RSM)
  • Produce ensemble products in SREF post
  • Graphics on Aviation-SREF website

4
Aviation SREF Algorithms
  • AWC-developed
  • Externally-developed
  • RUC-based deterministic guidance e.g. icing
    (CIP, FIP), turb (GTG), etc.
  • AWC-EMC collaboration during assimilation of
    algorithms into SREF operations

5
Aviation SREF Feedback
  • Reduce/access/calibrate uncertainty
  • Reduce/represent model error
  • Provide distribution characteristics, etc.

6
Aviation SREF Feedback
  • New products
  • Algorithm enhancements, changes
  • One-hour output F00-F24
  • Add global ensemble
  • Add to SREF ops on CCS GEMPAK data flow

7
Aviation SREF Feedback
  • Application to AWC production products
  • FAA requires deterministic aviation forecast
    products except for probabilistic collaborative
    convective forecast product (CCFP)

8
Aviation SREF Verification/Validation
  • Is truth out there?
  • If a tree falls in a forest
  • PIREPS ? difficult to use
  • NCEP FVS works for regular weather not for
    aviation weather
  • low level wind shear has been verified in FVS
  • adapt FVS to aviation
  • Collaborate with RTVS for aviation
    verification/validation

9
SREF Aviation Product List
Variables Products Levels/Regions Algorithms
Icing Prob of occurrence (100s of ft) 240,180,150,120,090,060,030,000 T-RH-Vertical drift Cloud water/ ice/snow
Clear air turbulence (CAT) Prob of occurrence (LGT,MDT,SVR) (100s of ft) 420,390,360,330,300,270,240,210 Ellrod 1992
Cloud Mean/spread Prob of ovc,bkn,sct,clr Ceiling, cloud base Model-output
10
SREF Aviation Product List
Variables Products Levels/Regions Algorithms
Visibility Mean/spread Surface Stoelinga 1999
Ceiling Mean/spread Ceiling, cloud base Conditional
Flight-Restriction Prob of LIFR,IFR,MVFR,VFR Vis and/or Ceiling Visibility-ceiling
Jet-stream Prob of gt 60,80,100 kt 45,180,340 (100s of ft.) Model-output
11
SREF Aviation Product List
Variables Products Levels/Regions Algorithms
10m-wind speed Mean/spread Prob of gt 10,20,30 kt 10m Model-output
Convective cloud Mean/spread/ directions Grid convective cloud
Low level wind shear (LLWS) Mean/spread Prob of severe (20 kt/2000 ft) Wind vector difference
12
SREF Aviation Product List
Variables Products Levels/Regions Algorithms
Tropopause Mean/spread Model-output
Freezing-level Mean/spread Sfc, 4, 8, 12, 16 (kft) Model-output
Fog Prob of occurrence Surface Cloud base/top threshold
Mountain obscuration (to be added) Prob of occurrence Mountains RH 80, 90 Cloud water/ ice/snow
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Summary
  • AWC-EMC collaboration
  • Robust aviation-specific SREF guidance
  • Verification/validation work difficult, required
  • NAWIPS SREF tools developed by SIB
  • Web?NAWIPS path to AWC operations
  • Add aviation-specific SREF guidance to SREF ops
    on CCS GEMPAK data flow ? NAWIPS
  • Collaboration with NCEP centers
  • NCO SIB
  • Convective fields (SPCs David Bright)
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