Effects of Cloud Horizontal Inhomogeneity and Drizzle on Remote Sensing of Cloud Droplet Effective Radius: Case Studies Based on Large-eddy Simulations

This study investigates effects of drizzle and cloud horizontal inhomogeneity on cloud effective radius (re) retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS). In order to identify the relative importance of various factors, we developed a MODIS cloud property retrieval simulator based on the combination of large-eddy simulations (LES) and radiative transfer computations. The case studies based on synthetic LES cloud fields indicate that at high spatial resolution (100 m) 3-D radiative transfer effects, such as illumination and shadowing, can induce significant differences between retrievals ofre based on reflectance at 2.1 m (re,2.1) and 3.7 m (re,3.7). It is also found that 3-D effects tend to have stronger impact onre,2.1 than re,3.7, leading to positive difference between the two (re,3.72.1) from illumination and negative re,3.72.1from shadowing. The cancellation of opposing 3-D effects leads to overall reasonable agreement betweenre,2.1 and re,3.7 at high spatial resolution as far as domain averages are concerned. At resolutions similar to MODIS, however, re,2.1 is systematically larger than re,3.7when averaged over the LES domain, with the difference exhibiting a threshold-like dependence on bothre,2.1and an index of the sub-pixel variability in reflectance (H), consistent with MODIS observations. In the LES cases studied, drizzle does not strongly impact reretrievals at either wavelength. It is also found that opposing 3-D radiative transfer effects partly cancel each other when cloud reflectance is aggregated from high spatial resolution to MODIS resolution, resulting in a weaker net impact of 3-D radiative effects onre retrievals. The large difference at MODIS resolution between re,3.7 and re,2.1 for highly inhomogeneous pixels with H 0.4 can be largely attributed to what we refer to as the plane-parallelrebias, which is attributable to the impact of sub-pixel level horizontal variability of cloud optical thickness onre retrievals and is greater for re,2.1 than re,3.7. These results suggest that there are substantial uncertainties attributable to 3-D radiative effects and plane-parallelre bias in the MODIS re,2.1retrievals for pixels with strong sub-pixel scale variability, and theH index can be used to identify these uncertainties.

[1]  Steven Platnick,et al.  Vertical Photon Transport in Cloud Remote Sensing Problems , 2013 .

[2]  Paquita Zuidema,et al.  Assessment of MODIS cloud effective radius and optical thickness retrievals over the Southeast Pacific with VOCALS‐REx in situ measurements , 2011 .

[3]  Vladimir V. Rozanov,et al.  Droplet vertical sizing in warm clouds using passive optical measurements from a satellite , 2011 .

[4]  Steven Platnick,et al.  An assessment of differences between cloud effective particle radius retrievals for marine water clouds from three MODIS spectral bands , 2011 .

[5]  A. Ackerman,et al.  Estimating the Sensitivity of Radiative Impacts of Shallow, Broken Marine Clouds to Boundary Layer Aerosol Size Distribution Parameter Uncertainties for Evaluation of Satellite Retrieval Requirements , 2011 .

[6]  T. Zinner,et al.  Testing remote sensing on artificial observations: impact of drizzle and 3-D cloud structure on effective radius retrievals , 2010 .

[7]  Steven Platnick,et al.  Effects of ice particle size vertical inhomogeneity on the passive remote sensing of ice clouds , 2010 .

[8]  Steven Platnick,et al.  A global view of one‐dimensional solar radiative transfer through oceanic water clouds , 2010 .

[9]  Takashi Nakajima,et al.  Particle Growth and Drop Collection Efficiency of Warm Clouds as Inferred from Joint CloudSat and MODIS Observations , 2010 .

[10]  Takashi Nakajima,et al.  Droplet Growth in Warm Water Clouds Observed by the A-Train. Part I: Sensitivity Analysis of the MODIS-Derived Cloud Droplet Sizes , 2010 .

[11]  Takashi Nakajima,et al.  Droplet Growth in Warm Water Clouds Observed by the A-Train. Part II: A Multisensor View , 2010 .

[12]  J. Coakley,et al.  Relationships among properties of marine stratocumulus derived from collocated CALIPSO and MODIS observations , 2010 .

[13]  Ákos Horváth,et al.  Global assessment of AMSR-E and MODIS cloud liquid water path retrievals in warm oceanic clouds , 2009 .

[14]  Robert Pincus,et al.  Computational Cost and Accuracy in Calculating Three-Dimensional Radiative Transfer: Results for New Implementations of Monte Carlo and SHDOM , 2009 .

[15]  R. Boeke Biases in droplet radii and optical depths of marine stratocumulus retrieved from MODIS imagery , 2009 .

[16]  Steven Platnick,et al.  View‐angle consistency in reflectance, optical thickness and spherical albedo of marine water‐clouds over the northeastern Pacific through MISR‐MODIS fusion , 2009 .

[17]  C. Bretherton,et al.  Large-Eddy Simulations of a Drizzling, Stratocumulus-Topped Marine Boundary Layer , 2009 .

[18]  L. Oreopoulos,et al.  Radiative susceptibility of cloudy atmospheres to droplet number perturbations: 2. Global analysis from MODIS , 2008 .

[19]  B. Stevens,et al.  Aerosol effects on clouds, precipitation, and the organization of shallow cumulus convection , 2008 .

[20]  Rob Roebeling,et al.  Cloud property retrievals for climate monitoring: Implications of differences between Spinning Enhanced Visible and Infrared Imager (SEVIRI) on METEOSAT‐8 and Advanced Very High Resolution Radiometer (AVHRR) on NOAA‐17 , 2006 .

[21]  Seiji Kato,et al.  Estimate of satellite‐derived cloud optical thickness and effective radius errors and their effect on computed domain‐averaged irradiances , 2006 .

[22]  Steven Platnick,et al.  Impact of three‐dimensional radiative effects on satellite retrievals of cloud droplet sizes , 2006 .

[23]  Robert F. Cahalan,et al.  The I3RC - Bringing Together the Most Advanced Radiative Transfer Tools for Cloudy Atmospheres , 2005 .

[24]  P. Smaglik A global view , 2005, Nature.

[25]  M. Kirkpatrick,et al.  The impact of humidity above stratiform clouds on indirect aerosol climate forcing , 2004, Nature.

[26]  Zhanqing Li,et al.  Retrieving vertical profiles of water‐cloud droplet effective radius: Algorithm modification and preliminary application , 2003 .

[27]  W. Paul Menzel,et al.  The MODIS cloud products: algorithms and examples from Terra , 2003, IEEE Trans. Geosci. Remote. Sens..

[28]  C. Bretherton,et al.  Effects of Domain Size and Numerical Resolution on the Simulation of Shallow Cumulus Convection , 2002 .

[29]  Zhanqing Li,et al.  Estimating the vertical variation of cloud droplet effective radius using multispectral near‐infrared satellite measurements , 2002 .

[30]  Alexander Marshak,et al.  Observations of Three-Dimensional Radiative Effects that Influence MODIS Cloud Optical Thickness Retrievals , 2002 .

[31]  K.,et al.  Simulations of Trade Wind Cumuli under a Strong Inversion , 2001 .

[32]  Roger Davies,et al.  Effects of Cloud Heterogeneities on Shortwave Radiation: Comparison of Cloud-Top Variability and Internal Heterogeneity , 1999 .

[33]  W. Cotton,et al.  The Relationship between Drop In-Cloud Residence Time and Drizzle Production in Numerically Simulated Stratocumulus Clouds , 1996 .

[34]  T. Nakajima,et al.  Wide-Area Determination of Cloud Microphysical Properties from NOAA AVHRR Measurements for FIRE and ASTEX Regions , 1995 .

[35]  Steven Platnick,et al.  A Validation of a Satellite Cloud Retrieval during ASTEX , 1995 .

[36]  Robert F. Cahalan,et al.  The albedo of fractal stratocumulus clouds , 1994 .

[37]  A. Lacis,et al.  Near-Global Survey of Effective Droplet Radii in Liquid Water Clouds Using ISCCP Data. , 1994 .

[38]  S. Twomey,et al.  Determining the Susceptibility of Cloud Albedo to Changes in Droplet Concentration with the Advanced Very High Resolution Radiometer , 1994 .

[39]  D. Hartmann,et al.  The Effect of Cloud Type on Earth's Energy Balance: Global Analysis , 1992 .

[40]  M. King,et al.  Determination of the Optical Thickness and Effective Particle Radius of Clouds from Reflected Solar Radiation Measurements. Part II: Marine Stratocumulus Observations , 1991 .

[41]  M. King,et al.  Determination of the optical thickness and effective particle radius of clouds from reflected solar , 1990 .

[42]  K. Stamnes,et al.  Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media. , 1988, Applied optics.

[43]  Robert J. Curran,et al.  Thin cirrus clouds - Seasonal distribution over oceans deduced from Nimbus-4 IRIS , 1988 .

[44]  Toshiro Inoue,et al.  On the Temperature and Effective Emissivity Determination of Semi-Transparent Cirrus Clouds by Bi-Spectral Measurements in the 10μm Window Region , 1985 .

[45]  W. Wiscombe,et al.  Mie Scattering Calculations: Advances in Technique and Fast, Vector-speed Computer Codes , 1979 .

[46]  Terry L. Clark,et al.  A Study in Cloud Phase Parameterization Using the Gamma Distribution , 1974 .