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Vertical cloud structures of the boreal summer intraseasonal variability based on CloudSat observations and ERA-interim reanalysis

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Title: Vertical cloud structures of the boreal summer intraseasonal variability based on CloudSat observations and ERA-interim reanalysis


1
Vertical cloud structures of the boreal summer
intraseasonal variability based on CloudSat
observations and ERA-interim reanalysis
X. Jiang D. E. Waliser J.-L. Li C. Woods,
Vertical cloud structures of the boreal summer
intraseasonal variability based on CloudSat
observations and ERA-interim reanalysis,2010
Xianan Jiang Duane E. Waliser Jui-Lin Li
Christopher Woods
  • SpeakerLi-Chiang Jiang

2
Outline
  • Introduction
  • Datasets
  • An index for the boreal summer intraseasonal
    variability (BSISV)
  • Vertical cloud structures of the northward
    propagating BSISV
  • Summary

3
MJO(MaddenJulian Oscillation)
  • The intraseasonal variability (ISV) plays a
    significant role for tropical climate
  • Eastward propagating in boreal winter
  • A period of 3050 days, northward propagation
    over the Asian monsoon region in boreal summer

4
EEOF Method
  • (1) All the data were binned into pentad (5-day)
    values.
  • (2) Intraseasonal anomalies were obtained by
    removing the annual cycle and data filtering
    through a 3090-day band pass filter.
  • (3) Perform an EEOF analysis on band-passed
    (30-90 day) rainfall data (e.g., TRMM, CMAP) over
    the tropical Indian Ocean and western Pacific.
  • (4) Identify MJO events from the PC time series
    of 1st EEOF mode.
  • (5) Composite MJO events in band-passed rainfall
    and target quantity (e.g., temperature, moisture,
    ozone, aerosols).

5
Introduction
  • Sikka and Gadgil(1980)Cadet(1986) Lawrence and
    Webster(2002).
  • The meridional propagation of the BSISV is
    found to be intimately associated with active and
    break phases of the Asian summer monsoon
  • Jiang et al. (2004)
  • Identified prominent meridional asymmetric
    structures associated with the northward
    propagating BSISV.

6
Introduction
  • Hsu et al.(2004)Fu et al.(2006)
  • The northward shift of low-level moisture
    perturbation relative to the BSISV convection,
    which may suggest a pre-conditioning process for
    its northward propagation.
  • An easterly vertical wind shear mechanism to
    explain the northward propagation of the BSISV.

7
Now
  • The study focus on
  • Since three summer seasons from 2006 to
    2008.Compared to Cloud structures from CloudSat
    data and ERA-interim reanalysis data.

8
Datasets
  • European Centre for Medium-Range Weather
    Forecasts (ECMWF) ERA-interim reanalysis
  • Liquid water content (LWC) and ice and water
    content (IWC) (2006 2008)
  • CloudSat dataset
  • Liquid water content (LWC) and ice and water
    content (IWC) (2006 2008)
  • Tropical Rainfall Measuring Mission (TRMM)
  • Daily mean rainfall with a horizontal
    resolution of 1 1
  • (20062008)

9
An index for the BSISV
10
An index for the BSISV
11
Vertical cloud structures of the northward
propagating BSISV
CloudSat LWC
CloudSat IWC
12
Vertical cloud structures of the northward
propagating BSISV
ERA-interim LWC
ERA-interim IWC
13
Vertical cloud structures of the northward
propagating BSISV
LWC
IWC
???????
CloudSat
ERA- interim
14
Vertical cloud structures of the northward
propagating BSISV
???
Total
CloudSat
???
???
ERA- interim
?\???
??
15
Summary and discussion
  • Increased LWC in the lower troposphere is located
    north of the BSISV rainfall maximum, and
    therefore leads the convection,so northward
    displacement.
  • Enhanced LWC anomalies to the north of the BSISV
    convection center are largely associated with
    low-level cumulus/stratocumulus clouds.

16
Summary and discussion
  • The maximum LWC anomalies are detected in the
    lower troposphere based on CloudSat, and in the
    middle troposphere in the ERA-interim.
  • Enhanced cloud IWC is evident in the upper
    troposphere corresponding to enhanced BSISV
    convection.

17
Summary and discussion
  • Aforementioned differences in LWC and IWC
    structures associated with the BSISV could be
  • ascribed to model biases and differences
    between CloudSat and ERA-interim datasets could
    be due to data sampling.

18
Thanks for your attention !
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