New Statistical Model for Variability of Aerosol Optical Thickness: Theory and Application to MODIS Data over Ocean.

ABSTRACT: A novel model for the variability in aerosol optical thickness (AOT) is presented. This model is based on the consideration of AOT fields as realizations of a stochastic process, that is the exponent of an underlying Gaussian process with a specific autocorrelation function. In this approach AOT fields have lognormal PDFs and structure functions having the correct asymptotic behavior at large scales. The latter is an advantage compared with fractal (scale-invariant) approaches. The simple analytical form of the structure function in the proposed model facilitates its use for the parameterization of AOT statistics derived from remote sensing data. The new approach is illustrated using a year-long global MODIS AOT dataset (over ocean) with 10 km resolution. It was used to compute AOT statist

SUBMITTER: Alexandrov MD 

PROVIDER: S-EPMC7357199 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature