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Sensitivity of cloud microphysical property retrieval methods to size distribution bi-modality: Theoretical considerations and potential implications MODIS Science Team Meeting May 7, 2012, Silver Spring, MD Zhibo Zhang (UMBC), Steven Platnick (NASA GSFC), Andrew Ackerman (NASA GISS), Hyoun-Myoung Cho(UMBC) Graham Feingold (NOAA ESRL), Robert Pincus (NOAA ESRL), Matthew Lebsock (JPL) Monday, May 7, 12

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  • Sensitivity of cloud microphysical property retrieval methods to size distribution

    bi-modality: Theoretical considerations and potential implications

    MODIS Science Team MeetingMay 7, 2012, Silver Spring, MD

    Zhibo Zhang (UMBC), Steven Platnick (NASA GSFC), Andrew Ackerman (NASA GISS), Hyoun-Myoung Cho(UMBC)

    Graham Feingold (NOAA ESRL), Robert Pincus (NOAA ESRL), Matthew Lebsock (JPL)

    Monday, May 7, 12

  • Background

    MODIS Operational re(2.1µm)

    Monthly Mean Effective Radius of Liquid Water Cloud

    CAM5-COSP MODIS simulation

    Data courtesy of Jennifer Kay

    Substantial difference between observation and GCM.

    Monday, May 7, 12

  • Background

    MODIS Operational re(2.1µm) MODIS Operational re(3.7µm)

    Substantial difference between MODIS 2.1µm and 3.7µm.

    Monthly Mean Effective Radius of Liquid Water Cloud

    Monday, May 7, 12

  • Achievements of Year One

    • Performed a global assessment of the difference between difference between MODIS re(2.1µm) and re(3.7µm) retrievals (Zhang and Platnick 2011 JGR)

    • Developed a MODIS-simulator based on the combination of LES model with bin microphysics and radiative transfer models (both 1-D and 3D)

    • Case studies on the effects of cloud horizontal inhomogeneity and drizzle on MODIS effective radius retrievals (Zhang et al. 2012 under revision)

    • Collocated MODIS and CloudSat observations of MBL clouds

    Monday, May 7, 12

  • Probability of Precipitation from collocated CloudSat

    Assessment of the difference between MODIS re(2.1µm) and re(3.7µm)

    Sub-pixel inhomogeneity indexPPL cloud Broken clouds

    Zhang and Platnick 2011 JGR

    r e(3

    .7µm

    )-r e

    (2.1µm

    )

    Regime I:Non-precipitating, PPL clouds

    Regime III:Drizzling cloud?

    Reg

    ime

    II:H

    ighl

    y in

    hom

    ogen

    eous

    clo

    uds

    Whether and How can drizzle affect MODIS Re retrievals?Monday, May 7, 12

  • Probability of Precipitation from collocated CloudSat

    Assessment of the difference between MODIS re(2.1µm) and re(3.7µm)

    Sub-pixel inhomogeneity indexPPL cloud Broken clouds

    Zhang and Platnick 2011 JGR

    r e(3

    .7µm

    )-r e

    (2.1µm

    )

    Regime I:Non-precipitating, PPL clouds

    Regime III:Drizzling cloud?

    Reg

    ime

    II:H

    ighl

    y in

    hom

    ogen

    eous

    clo

    uds

    Whether and How can drizzle affect MODIS Re retrievals?Monday, May 7, 12

  • Effects of precipitation (Bi-modal PSD)?

    Insignificant impacts Significant impacts

    Zinner et al. 2011 ACPZhang et al. 2012 JGR

    (under review)Painemal et al. 2011 JGR

    Nakajima et al. 2010a,bMinnis et al. 2004

    Effects of precipitation on passive Re retrieval still remains unclear

    LES-based study In-situ measurement Sensitivity Study

    Monday, May 7, 12

  • Objective: Establish a theoretical understanding of how MODIS Re retrieval response to the drizzle

    mode in PSD

    Questions:1) Can we derive a “back-of-envelope” formula to estimate

    the impact of drizzle mode on MODIS Re retrieval?2) whether and how can bi-modal PSD cause Re retrieval

    difference?3) What are the potential implications?

    Monday, May 7, 12

  • Theoretical Consideration: Simplification of the problem

    R(re*,τ *) = R(rc ,rp ,τ c ,τ p )Real retrieval

    Simplified retrieval

    Assumptions: 1) Single-scattering albedo can be used as surrogate for reflectance for assessing retrieval process (to be justified by RT simulations)2) Cloud is optically thick so that Tau and Re retrievals are independent3) Cloud is homogenous (NO 3-D effect or vertical weighting)

    ω c(re*) =ω (rc ,rp ,τ c ,τ p )

    Monday, May 7, 12

  • Theoretical consideration: Linearization

    10 15 20 25 30re [ m]

    0.70

    0.75

    0.80

    0.85

    0.90

    0.95

    1.00

    PSD

    aver

    aged

    ω

    ve=0.06ve=0.10ve=0.16ve=0.20linear fit

    30 40 50 60 70 80 90 100re [ m]

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    PSD

    aver

    aged

    ω

    Mielinear fit

    Radius [µm] Radius [µm]

    PSD

    Ave

    rage

    d Al

    bedo

    ω

    a) cloud mode b) rain mode

    2.1µm 3.7µm 2.1µm 3.7µm

    ω c,λ =ω 0c,λ − kc,λre ω r ,λ =ω 0r ,λ − kr ,λre

    Gamma distribution Truncated Exponential (Wood et al. 2005 JAS)

    Effective radius Effective radius

    kc,3.7µm = 0.0061µm−1

    kc,2.1µm = 0.0018µm−1

    kp,2.1µm = 0.0014µm−1

    kc,3.7µm = 0.0021µm−1

    1) Albedo decreases linearly with increasing Re 2) Decreasing rate depends on spectral and Re range3) Albedo-Re line is flatter in drizzle region than in cloud region

    Monday, May 7, 12

  • Theoretical consideration: Formula for estimating effect of drizzle on

    MODIS re retrieval

    re,λ* = re,c 1+

    RWPCWP

    kp,λkc,λ

    ⎝⎜⎞

    ⎠⎟−τ pτ c

    re,c −ω 0c,λ −ω 0 p,λ

    kc,λ

    ⎝⎜⎞

    ⎠⎟

    re,λ*

    Retrieved effective radius (spectral dependent)

    re,c Effective radius of cloud modeStrength of drizzle (in upper part (Tau

  • RT simulations

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    Cloud mode: re = 15µm τ ≈ 20 CWP = 300g /m2

    Rai

    n m

    ode

    r e [µ

    m]

    Rai

    n m

    ode

    r e [µ

    m]

    Rai

    n m

    ode

    r e [µ

    m]

    Rai

    n m

    ode

    r e [µ

    m]

    RWP/CWP RWP/CWP

    RWP/CWP RWP/CWP

    re*(2.1µm) re

    *(3.7µm)

    DISORTRef

    TheoAlbedo

    26

    24

    22

    20

    18

    16

    14

    Monday, May 7, 12

  • Effect of Bi-Modality on Polarization-based Re retrieval

    144 146 148 150 152 154 156Scattering Angle [o]

    -0.05

    0.00

    0.05

    0.10

    -P12

    10 20 30 40 50Effective Radius [µm]

    0.02

    0.04

    0.06

    0.08

    0.10

    Effe

    ctiv

    e Va

    rianc

    e

    Cloud mode Re=15µmCWP=300g/m2

    Rain mode Re=80µm RWP

    = 300g/m2

    Combined

    Retrieval cost function

    Polarization-based retrieval ~ 15.5µm

    Polarization insensitive to drizzle mode

    Monday, May 7, 12

  • Effect of Bi-Modality on Polarization-based Re retrieval

    144 146 148 150 152 154 156Scattering Angle [o]

    -0.05

    0.00

    0.05

    0.10

    -P12

    10 20 30 40 50Effective Radius [µm]

    0.02

    0.04

    0.06

    0.08

    0.10

    Effe

    ctiv

    e Va

    rianc

    e

    Cloud mode Re=15µmCWP=300g/m2

    Rain mode Re=80µm RWP

    = 300g/m2

    Combined

    Retrieval cost function

    Polarization-based retrieval ~ 15.5µm

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    0.2 0.4 0.6 0.8 1.0RLWC/CLWC

    60

    80

    100

    120

    140

    160

    180200

    Rai

    n m

    ode r e

    [m

    ]

    MODIS 2.1µm retrieval ~22µm Polarization insensitive to drizzle mode

    Monday, May 7, 12

  • Potential Implications: GCM/MMF-Satellite comparison

    Cloud mode re Cloud + Precip. re

    MODIS re

    Preliminary results:inclusion of precip. mode leads to better agreement between a

    MMF simulation and MODIS

    MMF data courtesy of Minghuai Wang

    Monday, May 7, 12

  • Summary

    • Observations show correlation between precipitation and MODIS cloud effective radius retrieval “anomaly” (drizzle effects?)

    • A simple formula is derived to predict the impact of PSD bi-modality (i.e., drizzle) on MODIS cloud effective radius retrieval

    • More investigations are underway

    Monday, May 7, 12

  • Future Work• LES simulation of heavily drizzling clouds- LES-MODIS simulation- LES-polarimeter simulation• Regime by regime study of cloud microphysics

    using collocated MODIS-CloudSat data

    • Investigation of the implications for GCM-satellite comparison

    • Investigation of air-borne observations?

    Monday, May 7, 12

  • Thank You!

    • Questions?

    Monday, May 7, 12