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Validation of the NCEP CFS forecasts

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Large departure from normal, for example in temperature ... We evaluate skill in CFS predictions only on occasions when an extreme occurred in observations. ... – PowerPoint PPT presentation

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Title: Validation of the NCEP CFS forecasts


1
Validation of the NCEP CFS forecasts
  • Suranjana Saha
  • Environmental Modeling Center
  • NCEP/NWS/NOAA/DOC

2
Chosen Topics
  • Validation of Extremes, especially in 500 hPa
    geopotential, temperature and precipitation
  • QBO validation
  • SST validation by ocean basins

3
About extremes
  • What is an extreme?
  • Large departure from normal, for example in
    temperature and/or precipitation, we have heat
    waves, cold spells, droughts, floods, etc.
  • Given how important the effect of extremes is on
    society (life, property and the economy), did the
    CFS predict these events ?

4
About extremes
  • We evaluate skill in CFS predictions only on
    occasions when an extreme occurred in
    observations.
  • Using monthly mean data, we define an
  • extreme value of anomaly of variable gt
    2 or 1.5 times local standard deviation.

5
EXTREME EVENTS IN PNA and NAO In 500 hPa
Geopotential (Reanalysis 2 used for validation)
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  • Conclusions (for PNA and NAO)
  • Modest capability to predict extreme values in
    PNA and NAO.
  • PNA extremes mainly related to ENSO (Feb 1983,
    Jan 1989)
  • NAO extremes appear equally predictable (Nov
    1993, Feb 1986). Causes less clear
  • Skill for extremes, in terms of anomaly
    correlation, is an amplified version of skill in
    general.

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EXTREME EVENTS IN TEMPERATURE (Reanalysis-2 used
for validation)
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Conclusions (for Temperature) 1. US
Modest skill mainly in late spring 2. Europe No
skill 3. India Modest skill mainly in
winter 4. Africa Modest skill mainly Northern
winter 5. South America Moderate skill
throughout the year.
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EXTREME EVENTS IN PRECIPITATION (Xie-Arkin Precip
used for validation)
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  • Conclusions (for Precipitation)
  • US Modest skill mainly in winter
  • Europe No skill at all
  • India Modest skill mainly Feb-May
  • Africa Modest skill mainly Aug-Jan
  • South America Modest skill throughout the year
    only for lead-1.
  • (Keep in mind there are complications when
    precipitation is skewed, or standard deviation is
    small (like deserts).

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QBO MONTHLY MEAN ZONAL MEAN ZONAL WIND ANOMALY
AT THE EQUATOR (Reanalysis-2 used for validation)
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  • Conclusions (for QBO)
  • Baseline experiment regarding the QBO.
  • (No skill was expected)
  • The phenomenon disappears slowly in CFS, but is
    clearly identifiable in forecasts out to 6
    months. This is better than anybody expected.
  • CFS has 64 levels in the vertical, of which 20
    are above 100 hPa. The top of the model is at 0.2
    hPa. It is possible that high density of levels
    near 50 hPa has been helpful in sustaining zonal
    winds.

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VALIDATION OF SST FOR DIFFERENT OCEAN
BASINS (NCEP GODAS used for validation)
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  • Conclusions (for SST)
  • Spring Barrier clearly evident in prediction of
    SST in Nino 3.4 and Northern Pacific Regions
  • Moderate skill is present in the Indian Ocean
    only during spring.
  • Skill highest during September for both Southern
    Atlantic and Pacific Oceans.
  • Moderate skill is present in the equatorial
    Atlantic Ocean including the hurricane season
    (ASO)
  • Least skill present in the Northern Atlantic
    Ocean, mainly during the winter.
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