An Effective Radius Retrieval for Thick Ice Clouds Using GOES

Abstract Satellite retrieval of cirrus cloud microphysical properties is an important but difficult problem because of uncertainties in ice-scattering characteristics. Most methods have been developed for instruments aboard polar-orbiting satellites, which have better spatial and spectral resolution than geostationary sensors. The Geostationary Operational Environmental Satellite (GOES) series has the advantage of excellent temporal resolution, so that the evolution of thunderstorm-cloud-top properties can be monitored. In this paper, the authors discuss the development of a simple ice cloud effective radius retrieval for thick ice clouds using three bands from the GOES imager: one each in the visible, shortwave infrared, and window infrared portion of the spectrum. It is shown that this retrieval compares favorably to the MODIS effective radius algorithm. In addition, a comparison of the retrieval for clouds viewed simultaneously from GOES-East and GOES-West reveals that the assumed ice-scattering proper...

[1]  M. Wetzel,et al.  Satellite microphysical retrievals for land-based fog with validation by balloon profiling , 1996 .

[2]  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 .

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

[4]  K. Evans The Spherical Harmonics Discrete Ordinate Method for Three-Dimensional Atmospheric Radiative Transfer , 1998 .

[5]  Timothy J. Schmit,et al.  Imager and sounder radiance and product validations for the GOES-12 science test , 2003 .

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

[7]  Steven Platnick,et al.  Differences Between Collection 4 and 5 MODIS Ice Cloud Optical/Microphysical Products and Their Impact on Radiative Forcing Simulations , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Paul W. Stackhouse,et al.  The Relevance of the Microphysical and Radiative Properties of Cirrus Clouds to Climate and Climatic Feedback , 1990 .

[9]  K. Liou,et al.  Parameterization of the scattering and absorption properties of individual ice crystals , 2000 .

[10]  K. Liou Influence of Cirrus Clouds on Weather and Climate Processes: A Global Perspective , 1986 .

[11]  Thomas J. Greenwald,et al.  Analysis of 10.7-μm Brightness Temperatures of a Simulated Thunderstorm with Two-Moment Microphysics , 2004 .

[12]  Darren McKague,et al.  Multichannel Satellite Retrieval of Cloud Parameter Probability Distribution Functions. , 2002 .

[13]  G. Kattawar,et al.  Scattering and absorption property database for nonspherical ice particles in the near- through far-infrared spectral region. , 2005, Applied optics.

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

[15]  J. Knaff,et al.  GOES Climatology and Analysis of Thunderstorms with Enhanced 3.9-μm Reflectivity , 2006 .

[16]  Thomas J. Greenwald,et al.  An All-Weather Observational Operator for Radiance Data Assimilation with Mesoscale Forecast Models , 2002 .

[17]  Patrick Minnis,et al.  Inference of cirrus cloud properties using satellite-observed visible and infrared radiances. Part I: parameterization of radiance fields , 1993 .

[18]  P. Comba,et al.  Part I. Theory , 2007 .

[19]  Bryan A. Baum,et al.  Single scattering properties of droxtals , 2003 .

[20]  Bryan A. Baum,et al.  Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part I: Microphysical Data and Models. , 2005 .

[21]  W. Paul Menzel,et al.  Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS , 2003, IEEE Trans. Geosci. Remote. Sens..

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

[23]  Steven,et al.  Objective Assessment of the Information Content of Visible and Infrared Radiance Measurements for Cloud Microphysical Property Retrievals over the Global Oceans. Part I: Liquid Clouds , 2006 .

[24]  M. King,et al.  Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part II: Narrowband Models , 2005 .

[25]  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 .