Abstract
A method for estimating the cloud adjacency effect on the reflectance of ground surface areas reconstructed from passive satellite observations through gaps in cloud fields is proposed. The method allows one to estimate gaps of cloud fields in which the cloud adjacency effect can be considered small (the increment of the reflectance Δrsurf≤ 0.005). The algorithm is based on statistical simulation by the Monte Carlo method of radiation transfer in stochastic broken cloudiness with a deterministic cylindrical gap. An interpolation formula is obtained for the radius of the cloud adjacency effect that can be used for the reconstruction the ground surface reflectance in real time without calculations by the Monte Carlo method.
Highlights
The reflectance of the ground surface is one of the main surface parameters reconstructed from satellite data
The problem arises of estimating the radius of the cloud adjacency effect for which the atmosphere can be considered cloudless, and the clear sky algorithms [1,2,3,4,5] can be used for reconstruction of the ground surface reflectance
The method of estimating the cloud adjacency effect on the accuracy of the reconstructed reflectance of the ground surface areas non-shadowed by clouds based on calculation of the cloud field intensity averaged over an ensemble of realizations in the center of the entrance pupil of the receiving system has been proposed
Summary
Surface Reflectance Reconstruction from Passive Satellite Observations through Gaps in Cloud Fields.
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