Summit Talk

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    NOAAs contribution

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    M. Shupe

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    Microwave Radiometers:

    PWV, LWP, T

    Spectral Infrared Interferometer:Cloud phase, microphysics, LW radiation, trace gases

    Cloud Radar: Cloud macrophysics,phase, microphysics, dynamics

    Ceilometer:

    Cloud base

    Depolarization Lidars:

    Cloud base, phase,

    microphysics, orientation

    Sodar:

    Boundary layer depth

    Radiosonde:

    T, RH, Winds

    Precip Sensor:

    Rate, PSD?

    M. Shupe

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    Ceilometer shows

    cloud base

    Small depol ratio = liquid

    Generally, higher reflectivity

    values indicate ice clouds or

    precip

    Larger spectral

    widths indicate

    turbulence (to first

    order)

    Large backscatter

    indicates liquid

    layers

    Large depol ratio = ice

    High LWP shows

    lots of liquid in

    column

    M. Shupe

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    Ice is less opaque in the

    IR so the atmospheric

    window opens when

    liquid layer gone

    Brightness Temp (K)

    M. Shupe

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    12 Z Sounding 24 Z Sounding

    10 15 20 24

    Time (UTC)M. Shupe

    M. Shupe

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    Monthly cloud fractions are important for:

    - Determining the energy budget In the Arctic, clouds warm the surface

    - Validating climate model cloud parametizations

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    Comparing Summit tothe Rest of the Arctic

    Shupe et al. (20??)

    Minimums in January, February, March, or April

    August and September maximums

    Same basic pattern but varies slightly from location to location

    Depends on synoptic features, geography, etc..

    OVERALL, THE ARCTIC IS A VERY CLOUDY PLACE!

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    Satellite-Based ObservationsUsing CloudSat

    CloudSat has complete

    spatial coverage (save northof 83o) and frequent

    overpasses of high latitudes

    Cloud occurrence fractions

    were determined for all of

    Greenland using CloudSat

    and CalipsoONE WEEK OF OVERPASSES

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    CloudSAT June 2010 April 2011

    Comparison toOther Satellite-

    Derived AnnualCloud Fractions

    AVHRR

    1982-2004

    MODIS

    2000-2005

    ATSR-2

    1997

    Griggs & Bamber (2007) Good agreement!

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    CloudSAT June 2010 April 2011

    Comparison toReanalysis Annual

    Cloud FractionsERA-40

    1982-2001

    NCEP-DOE

    1982-2004

    NCEP-NCAR

    1982-2004

    Griggs & Bamber (2007)

    ISCCP

    1983-1999

    Reanalysis datasetsare poor over the

    Greenland Ice Sheet!

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    June 2010 April 2011

    M. Shupe

    M. Shupe

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    Comparing the Cloud Radarat Summit to CloudSat

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    MMCR averaged over 1 minute

    centered on overpass time

    CloudSat averaged over 15 data

    points centered on the closest data

    point to Summit

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    * Reflectivity values and

    cloud boundaries agree well

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    Distant Overpass, Good Agreement

    Close Overpass, Good Agreement

    Distant Overpass, Poor Agreement

    Close Overpass, Poor Agreement

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    Exploring the Averaging Timesfor the Comparison

    X

    Is X really the best

    point? Or is it just a

    coincidence of the

    data averaging?

    20 kmph

    50 kmph35 kmph

    Possible explanation:

    The winds at cloud

    height may beaveraging 35 km/h,

    But this assumes

    overpasses are

    parallel to wind

    vectors

    D O Di M

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    Does Overpass Distance Matter?

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    Difference (Not Absolute) vs. Altitude

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    Difference vs. HAGL

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    Directly Comparing IndividualMeasurements

    A direct comparison of CloudSat measured

    reflectivity to the corresponding MMCR

    measured reflectivity. There is a general

    agreement below -15 dBZ, but for larger

    reflectivities, CloudSat measures lower values

    (i.e. slope greater than 1)

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    Summit v s. Barrow, AK

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    Physical Explanation of Slope

    CloudSat MMCR The different scattering regimes

    for given particle sizes and

    radiation wavelengths is shown.

    The wavelengths for Cloudsat

    and the MMCR are shown in red

    and blue, respectively. Notice

    that Cloudsat enters the Mie

    regime at smaller particle sizes

    than does the MMCR

    Mostly cloud particles

    Mostly precipitation

    Petty (2006)

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    Limitations of the Comparison

    COMPARISON:Percent of time a cloud was

    detected

    TAKE-AWAYS:

    Fairly good agreement

    from 1 to 6 km

    CloudSat does not see

    the thinner high (> 6km)

    clouds

    CloudSat cannot see the

    low, stratiform clouds

    which are the most

    abundant clouds in the

    Arctic (< 1km)

    Barrow Cloud Occurrence vs. HAGL

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    Thank You

    KANGERLUSSUAQ,

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    KANGERLUSSUAQ,

    GREENLAND

    Some photos courtesy of Eric Parker and Nate Miller

    OVER THE ICE SHEET

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    OVER THE ICE SHEET

    SUMMIT

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    SUMMIT,

    GREENLAND