The Monte Carlo Methods in Atmospheric Optics

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Cover of 'The Monte Carlo Methods in Atmospheric Optics'

Table of Contents

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Book Overview
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Chapter 1 Introduction
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Chapter 2 Elements of Radiative-Transfer Theory Used in the Monte Carlo Methods
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Chapter 3 General Questions About the Monte Carlo Technique for Solving Integral Equations of Transfer
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Chapter 4 Monte Carlo Methods for Solving Direct and Inverse Problems of the Theory of Radiative Transfer in a Spherical Atmosphere
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Chapter 5 Monte Carlo Algorithms for Solving Nonstationary Problems of the Theory of Narrow-Beam Propagation in the Atmosphere and Ocean
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Chapter 6 Monte Carlo Algorithms for Estimating the Correlation Function of Strong Light Fluctuations in a Turbulent Medium

Attention for Chapter 2: Elements of Radiative-Transfer Theory Used in the Monte Carlo Methods

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Citations

dimensions_citation: 352 Dimensions

Summary Dimensions citations

So far, Dimensions has found 352 publications that cite this research output.

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Efficiently Realized Approximate Models of Random Functions in Stochastic Problems of the Theory of Particle Transfer

Article in Numerical Analysis and Applications (May 2024)

Multiple-scattering effects on single-wavelength lidar sounding of multi-layered clouds

Article in Atmospheric Measurement Techniques (May 2024)

Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI

Preprint in EGUsphere (April 2024)

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