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Waves and Climate Change in
  the North-East Atlantic
  by Judith Wolf and David K. Woolf

  Presented by: Irma Caraballo Álvarez
            October 4, 2012
Outline


 Introduction
 Wave models
 Results
 Discussion
Introduction


 Wave height increase
  Last 25 years
  Up to 14m in January 1993
  Observed by
    Buoys
    Ships
    Satellite altimetry
      TOPEX/Poseidon
Introduction


 North Atlantic Oscillation (NAO)
  Icelandic Low
  Azores High

 +NAO
  Stronger westerlies
Introduction




Figure 1. NAO from NOAA (http://www.climatewatch.noaa.gov/wp-content/uploads/2011/03/ao-nao2_pos_vs_neg.jpg).
Introduction


 Possible reasons
  Increase in winds
  Increase in storminess

 Storminess variations in decadal scales
Wave Models


 Usefulness
   Interpret data
  Study impacts of climate change
  Investigate physical explanations
  Extrapolate the model
Wave Models




Figure 2. Mean atmospheric conditions for January 1993. Coloured shading/contours is wind speed
in m/s, arrows indicate direction of flow.
Wave Models


 Data
  ECMWF ERA-40 re-analysis model, January
   1993
  NCEP/NCAR re-analysis model

 Validation
  TOPEX/Poseidon
  Buoys
Wave Models


 Variables
  Strength of the westerlies
  Frequency of storms
  Intensity of storms
  Strom tracks
  Storm translation speeds
Wave Models




Figure 3. Idealized storm with maximum wind speed 10m/s.
Wave Models


Table 1. Features of the Storm Varied in the Experimentsa.
           Feature           Low          Medium      High
Frequency (month -1)         3            6           9
Intensity (m s-1)            10           15          20
Relative Strength            0.5          1           1.5
Direction                    ENE          NE          NNE
Speed (km h-1)               25           50          100
aValues in bold are the "standard" case.
Results
              Storm frequency



              Storm intensity



              Relative strength of westerlies




              Storm track



              Storm translation speed


Figure 4. Effects of the variables on wave height.
Red crosses = monthly maximum, blue squares = monthly mean.
Discussion


 Is it possible to predict storms using this
  model?
 Can the model be used in other regions?
 Is NAO and storm frequency related to
  global warming?
The End

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Wolf and Woolf 2006 paper discussion

  • 1. Waves and Climate Change in the North-East Atlantic by Judith Wolf and David K. Woolf Presented by: Irma Caraballo Álvarez October 4, 2012
  • 2. Outline  Introduction  Wave models  Results  Discussion
  • 3. Introduction  Wave height increase  Last 25 years  Up to 14m in January 1993  Observed by  Buoys  Ships  Satellite altimetry  TOPEX/Poseidon
  • 4. Introduction  North Atlantic Oscillation (NAO)  Icelandic Low  Azores High  +NAO  Stronger westerlies
  • 5. Introduction Figure 1. NAO from NOAA (http://www.climatewatch.noaa.gov/wp-content/uploads/2011/03/ao-nao2_pos_vs_neg.jpg).
  • 6. Introduction  Possible reasons  Increase in winds  Increase in storminess  Storminess variations in decadal scales
  • 7. Wave Models  Usefulness  Interpret data  Study impacts of climate change  Investigate physical explanations  Extrapolate the model
  • 8. Wave Models Figure 2. Mean atmospheric conditions for January 1993. Coloured shading/contours is wind speed in m/s, arrows indicate direction of flow.
  • 9. Wave Models  Data  ECMWF ERA-40 re-analysis model, January 1993  NCEP/NCAR re-analysis model  Validation  TOPEX/Poseidon  Buoys
  • 10. Wave Models  Variables  Strength of the westerlies  Frequency of storms  Intensity of storms  Strom tracks  Storm translation speeds
  • 11. Wave Models Figure 3. Idealized storm with maximum wind speed 10m/s.
  • 12. Wave Models Table 1. Features of the Storm Varied in the Experimentsa. Feature Low Medium High Frequency (month -1) 3 6 9 Intensity (m s-1) 10 15 20 Relative Strength 0.5 1 1.5 Direction ENE NE NNE Speed (km h-1) 25 50 100 aValues in bold are the "standard" case.
  • 13. Results Storm frequency Storm intensity Relative strength of westerlies Storm track Storm translation speed Figure 4. Effects of the variables on wave height. Red crosses = monthly maximum, blue squares = monthly mean.
  • 14. Discussion  Is it possible to predict storms using this model?  Can the model be used in other regions?  Is NAO and storm frequency related to global warming?