Title :
Satellite Ozone Retrieval Under Broken Cloud Conditions: An Error Analysis Based on Monte Carlo Simulations
Author :
Kokhanovsky, Alexander A. ; Mayer, Bernhard ; Rozanov, Vladimir V. ; Wapler, Kathrin ; Lamsal, Lok N. ; Weber, Mark ; Burrows, John P. ; Schumann, Ulrich
Author_Institution :
Inst. of Environ. Phys., Bremen Univ.
Abstract :
This paper investigates the influence of horizontally inhomogeneous clouds on the accuracy of total ozone column retrievals from space. The focus here is on retrievals based on backscattered ultraviolet light measurements in Huggins bands in the range of 315-340 nm. It is found that simplifying the description of cloud properties in the ozone-retrieval algorithm studied can produce errors of up to 6%, depending on the error in the assumed cloud parameters. Yet another finding is the fact that independent pixel approximation suffices for ozone-retrieval algorithms. This was found using three-dimensional Monte Carlo radiative transfer calculations in the Huggins bands
Keywords :
Monte Carlo methods; backscatter; clouds; error analysis; ozone; radiative transfer; 315 to 340 nm; 3D Monte Carlo radiative transfer calculations; Huggins bands; Monte Carlo simulations; backscattered ultraviolet light measurements; broken cloud conditions; cloud properties; error analysis; ozone column retrievals; ozone-retrieval algorithms; pixel approximation; satellite ozone retrieval; Absorption; Approximation algorithms; Atmospheric modeling; Clouds; Error analysis; Information retrieval; Monte Carlo methods; Physics; Satellites; Spectroscopy; 3-D radiative transfer; Clouds; remote sensing; total ozone column;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2006.886188
