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Aucun titre de diapositive

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Comparisons with observations from. Cabauw, Chilbolton, and Palaiseau ... Model bias near the surface at the origin of the wrong cloud base height prevision. ... – PowerPoint PPT presentation

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Title: Aucun titre de diapositive


1
  • Comparisons (April - August 2003)
  • Model predictions
  • Diagnostic using model outputs
  • Impact of temperature and humidity biases on the
    surface fields
  • Turbulent and radiative fluxes at the surface
  • Perspectives

2
Selection of days between April and August
2003 Cabauw 95 days Chilbolton 81days Palaiseau
75 days Models ARPEGE IFS Met-Office model
turbulent fluxes are not available RACMO
results are strange more test are
needed Comparisons between models and
observations done on an hourly basis
3
  • Frequency distribution of the difference between
  • observed cloud base height
  • predicted cloud base height
  • Large proportion of disagreement
  • ARPEGE under-estimates the cloud base height
    (better at Chilbolton)

4
  • Possible sources of error
  • Are the ground-based observations representative
    of what is happening on a larger spatial scale
    (model grid point) ?
  • Wrong prediction of the large scale
    meteorological situation ?
  • Boundary layer scheme ?
  • Cloud scheme ?
  • diagnostic computation
  • Physical parameters retrieval using model outputs

5
The condensation level of a parcel of air coming
from the surface cloud base height
  • Frequency distribution of the difference between
  • observed cloud base height
  • condensation level of a parcel of air observed
    at 20m high
  • Observed clouds are predominantly created via
    surface driven processes

6
  • Advantage of working with diagnostics
  • Comparisons between models are independent of
    the parameterizations

7
  • Slightly better overall agreement than with the
    model predicted CLBH
  • Essentially same flaws than the predicted CLBH

8
  • Observed clouds are essentially created via
    surface driven processes
  • Surface driven processes diagnosed using model
    outputs do not create right clouds
  • ? Model bias near the surface at the origin of
    the wrong cloud base height prevision.

9
  • ARPEGE over-estimates T
  • ECMWF slightly under-estimates T

10
  • strong variability in RH
  • ARPEGE over-estimates RH

11
CABAUW
SIRTA
12
What could be the error sources to explain
surface biases ?
  • Assimilation ?
  • Soil scheme ?
  • Boundary layer scheme ?
  • Radiative and Cloud scheme ?

13
CABAUW
SIRTA
ARPEGE new radiative and cloud schemes (during
2 month)
  • ARPEGE LW fluxes are under-estimated ?
  • IFS no clear tendencies

14
CABAUW
  • ARPEGE under-estimates the latent and sensible
    fluxes which does not explain the temperature and
    relative humidity biases

15
  • For selected days of cloudy convective boundary
    layer on the CLOUDNET stations
  • Predicted boundary layer cloud base height
    further than 300m from observations
  • 40 of the hours for IFS
  • 55 of the hours for ARPEGE.
  • Same behavior in the different stations.
  • ARPEGE
  • Under-estimation of the CLBH due to warm and
    humid biases at the surface
  • Essential condition to have a good prediction of
    dry and cloudy boundary layer diurnal cycle
    right surface field prediction.
  • Soil scheme
  • Surface layer scheme
  • Precipitations (convection)
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