The determination of cloud altitudes using GOME reflectance spectra: multilayered cloud systems

This paper is devoted to the application of the Semi-Analytical Cloud Retrieval Algorithm (SACURA) to the cloud-top height determination using data from the Global Ozone Measurement Experiment (GOME) instrument onboard Earth Remote Sensing satellite (ERS-2). In particular, measurements of the top-of-atmosphere reflectance in the oxygen absorption A-band are used. The technique is based on the asymptotic radiative transfer theory as applied to studies of the oxygen absorption bands in reflected light. Our approach is valid for optically thick clouds with cloud optical thickness larger than approximately 5. The accuracy of the algorithm is checked against independent retrieval techniques for completely cloudy pixels. In particular, the close coincidence with data obtained from the Along Track Scanning Radiometer (ATSR-2) onboard ERS-2 is found. Some results of retrievals using these different instruments disagree (up to 2 km). This is explained by the strong horizontal inhomogeneity of clouds under investigation, which is not accounted by the SACURA or, possibly, by well-known problems of infrared techniques as applied to low-level clouds. The effective cloud geometrical thickness l is also retrieved. This parameter is defined as the geometrical thickness of a vertically homogeneous cloud, which allows for the minimization of differences between observed and calculated top-of-atmosphere reflectance spectra. For inhomogeneous clouds, the value of l differs from a real cloud geometrical thickness, but it gives us an indication of the possible existence of the multilayered cloud system in the field of view of the optical instrument.

[1]  Alfred J Prata,et al.  Cloud-top height determination using ATSR data , 1997 .

[2]  A. Kokhanovsky,et al.  Semianalytical cloud retrieval algorithm as applied to the cloud top altitude and the cloud geometrical thickness determination from top‐of‐atmosphere reflectance measurements in the oxygen A band , 2004 .

[3]  Jan-Peter Muller,et al.  Operational retrieval of cloud-top heights using MISR data , 2002, IEEE Trans. Geosci. Remote. Sens..

[4]  Remo Guidieri Res , 1995, RES: Anthropology and Aesthetics.

[5]  J. Hovenier,et al.  A fast method for retrieval of cloud parameters using oxygen A band measurements from the Global Ozone Monitoring Experiment , 2001 .

[6]  Stanley C. Solomon,et al.  Retrieving cloud information from passive measurements of solar radiation absorbed by molecular oxygen and O2-O2 , 2003 .

[7]  W. Paul Menzel,et al.  Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS) , 1992, IEEE Trans. Geosci. Remote. Sens..

[8]  中島 孝 Development of a comprehensive analysis system for satellite measurement of the cloud microphysical properties , 2002 .

[9]  John P. Burrows,et al.  Retrieval of atmospheric constituents in the uv-visible: a new quasi-analytical approach for the calculation of weighting functions , 1998 .

[10]  Jan-Peter Muller,et al.  Comparison of cloud top heights derived from MISR stereo and MODIS CO2‐slicing , 2002 .

[11]  Eleonora P. Zege,et al.  A semianalytical cloud retrieval algorithm using backscattered radiation in 0.4–2.4 μm spectral region , 2003 .

[12]  Michael Eisinger,et al.  The Global Ozone Monitoring Experiment (GOME): Mission Concept and First Scientific Results , 1999 .

[13]  Makoto Kuji,et al.  Retrieval of cloud geometrical parameters using remote sensing data , 2001, SPIE Asia-Pacific Remote Sensing.

[14]  J. Hovenier,et al.  Global distributions of effective cloud fraction and cloud top pressure derived from oxygen A band spectra measured by the Global Ozone Monitoring Experiment: Comparison to ISCCP data , 2002 .

[15]  David M. Winker,et al.  CALIPSO: global aerosol and cloud observations from lidar and passive instruments , 2003, SPIE Remote Sensing.

[16]  D. Deirmendjian Electromagnetic scattering on spherical polydispersions , 1969 .

[17]  David Crisp,et al.  The Orbiting Carbon Observatory (OCO) mission , 2004 .

[18]  John P. Burrows,et al.  The ring effect in the cloudy atmosphere , 2001 .

[19]  A. Kokhanovsky,et al.  The physical parameterization of the top-of-atmosphere reflection function for a cloudy atmosphere—underlying surface system: the oxygen A-band case study , 2004 .

[20]  G. Toon,et al.  Spaceborne measurements of atmospheric CO2 by high‐resolution NIR spectrometry of reflected sunlight: An introductory study , 2002 .

[21]  Bertrand Cadet,et al.  Comparison of POLDER apparent and corrected oxygen pressure to ARM/MMCR cloud boundary pressures , 2003 .

[22]  Clive D Rodgers,et al.  Inverse Methods for Atmospheric Sounding: Theory and Practice , 2000 .

[23]  D. Wark,et al.  On Cloud-Top Determination from Gemini-5. , 1967 .

[24]  Qilong Min,et al.  Joint statistics of photon path length and cloud optical depth: Case studies , 2001 .

[25]  T. Nakajima,et al.  Optimization of the Advanced Earth Observing Satellite II Global Imager channels by use of radiative transfer calculations. , 1998, Applied optics.

[26]  Piet Stammes,et al.  Deriving terrestrial cloud top pressure from photopolarimetry of reflected light , 2000 .