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Predicting global mean temperature

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Title: Predicting global mean temperature


1
Predicting global mean temperature
2
Developments at ECMWF
Tim Stockdale, WGSIP12
  • Merge of monthly forecast into EPS
  • Medium-range EPS is now continuous with monthly
    forecast
  • Resolution steps down from T399 to T255 after
    10 days
  • Hindcasts also have high resolution for first 10
    days
  • Forecasting system changes every few months
    hindcasts produced in near-real time.
  • Runs to 15 days every day to 32 days only once
    per week
  • Ocean coupling switched off for first 10 days
    for the moment
  • Experimental runs to 45 days
  • A first step towards unified NWP/seasonal
    prediction ??

3
Monthly All India Precipitation
Correlation with IMD station data- 1991-2007
VEPS
SEAS3
(Slides from Frederic Vitart)
4
Interannual variability of Atlantic hurricanes
1991-2007
Correlation with HURDAT
August September October
VAREPS Seas - Month 1 Seas Month 2 0.77 0.31 -0.03 0.37 0.33 0.23 0.69 0.18 0.18
5
Interannual variability of Accumulated Cyclone
Energy 1991-2007
Correlation with HURDAT
August September October
VEPS Seas- Month 1 Seas- Month 2 0.83 0.77 0.69 0.87 0.86 0.34 0.82 0.80 0.77
6
Global Scores
2mTm- Ensemble mean correlation with
analysis August 1981-2007
SEAS3- Month 2
VEPS
7
Developments at ECMWF
  • Seasonal prediction System 4
  • New ocean model NEMO
  • New ocean assimilation system 3D/4D VAR
  • New coupling interface OASIS3
  • Better treatment of lakes and sea-ice
  • Hope to have improved stratosphere (extra
    resolution, volcanic aerosols, improved gravity
    wave parameterization)
  • Consistent land surface initialization
    (stand-alone analysis system)
  • (Latest IFS cycle is much more active in tropics,
    generally more accurate, but has problems with
    easterly bias in equatorial winds, at least at
    TL159)

8
Developments at ECMWF
  • Decadal prediction
  • Only as part of EU-funded projects
  • ENSEMBLES
  • THOR
  • COMBINE
  • EC-EARTH
  • European group adapting the ECMWF model for
    climate change work
  • Attempt to keep technical infrastructure
    integrated with ECMWF
  • We may get feedback from some aspects of their
    work
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