Climate Model PRECIS Why the climate? -The weather patterns over a - - PowerPoint PPT Presentation

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Climate Model PRECIS Why the climate? -The weather patterns over a - - PowerPoint PPT Presentation

C LIMATE R ESEARCH IN THE D EPARTMENT OF P HYSICS W. Healey , M ALTA C LIMATE T EAM 14-19 th March 2011 Evaluating the Land Surface Model of the Regional Climate Model PRECIS Why the climate? -The weather patterns over a period of years. -The


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CLIMATE RESEARCH IN THE DEPARTMENT OF PHYSICS

  • W. Healey, MALTA CLIMATE TEAM

14-19th March 2011

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Evaluating the Land Surface Model of the Regional Climate Model PRECIS

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  • Why the climate?
  • The weather patterns over a period of years.
  • The Impact of the climate.
  • How do we do it?!
  • Computer models running

simulations of parameters

  • Different scales:

Global, Regional and Local

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  • How do we do it?!
  • Computer models running

simulations of parameters

  • Different scales:

Global, Regional and Local

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300 km 50km 250 m

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The effect of the surface on climate…

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The effect of the surface on climate…

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… in the climate model

Dynamic Core Aerosols Clouds Radiation LSM

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Providing REgional Climates for Impact Studies (PRECIS)

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Providing REgional Climates for Impact Studies (PRECIS)

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The details

  • A 60 year study from 1960 till 2020
  • Taking parameters most affected by the land

surface – temperatures and moisture levels

  • Comparing the LSMs with Measured Data

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Met Office Surface Exchange Scheme – the LSM

Upgrades over the older version include:

  • Height of vegetation in calculations
  • Shortwave / longwave radiation
  • Soil flooding

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9 different surface types: Broadleaf trees, needleleaf trees, temperate grass, tropical grass, shrubs, bare soil, Ice, Urban and lake/inland water

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Results part I

MOSES 1 MOSES 2.2 Measured

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Average surface temperature from 1960 to 1990

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Surface temperature

Temperature (˚C) Time (Years)

Results part II

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Relative Humidity

Time (Years) Relative Humidity (%)

Results part III

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Conclusions

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  • PRECIS is still relatively weak in predicting the measured results.
  • Spatial plots reveal an over prediction in tropical regions and an

under prediction in temperate regions.

  • Time series for surface temperature shows on average an over

prediction of about 0.3 ˚C in models.

  • Whilst an under prediction of around 3% for relative humidity.
  • MOSES2.2 results do not show improvement in PRECIS’

performance compared to measured data.

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Thank you!

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