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Modern analytical methods in radiative transfer are used to solve practical problems of modern atmospheric physics related to solar light interaction with the atmosphere, and remote sensing of clouds and clear sky. They provide a better understanding of the physics involved.
Sommario
Table of contents
1.Introduction
1.1 Main definitions
1.2 Scalar radiative transfer equation
1.3 Vector radiative transfer equation
1.4 Tensor radiative transfer equation
1.5 3-D radiative transfer equation
1.6 Radiative transfer and narrow light beams
1.7 Time-dependent radiative transfer equation
1.8 Heritage and history of earlier work
2. Exact solutions of radiative transfer equation
2.1 No scattering
2.2 Isotropic scattering
2.3 Rayleigh scattering
2.4 Henyey-Greenstein phase function
3. Approximate solutions for scalar radiative transfer
3.1 Single and multiple scattering separation
3.2 Double and higher orders of scattering
3.3 Semi-infinite media
3.4 Asymptotic radiative transfer
3.4.1 Rayleigh scattering
3.4.2 Clouds
3.5 Method of discrete ordinates and low stream interpolation
3.5.1 Two-stream approximation
3.5.2 Four-stream approximation
3.6 Small-angle approximation
3.7 Quasi-single scattering approximation
3.8 Method of spherical harmonics
3.9 Diffusion approximation
3.10 Radiative transfer in gaseous absorption bands
3.10.1 k-distribution and correlated-k methods
3.10.2 ESFT method
3.10.3 Spectral mapping
3.10.4 Optimal spectral sampling
3.10.5 Principal component analysis
3.11 Neural networks
3.12 3-D radiative transfer
3.13 Narrow beams
3.14 Time-dependent problems
3.15 Radiative transfer with account for effects of fluorescence
3.16 Raman scattering and filling in molecular absorption bands
4. Approximate solutions for polarized radiative transfer
4.1 Single and double scattering
4.2 Semi-infinite media
4.3 Optically thick media
4.4 Method of discrete ordinates
4.4.1 Four-stream approximation
4.5 Small-angle approximation
4.6 Tensor radiative transfer
5. Applications
5.1 Aerosol remote sensing
5.2 Cloud remote sensing
5.3 Remote sensing of trace gases
5.4 Surface remote sensing
5.4.1 Ocean
5.4.2 Land
5.5 Lidar remote sensing
Info autore
Alexander Kokhanovsky is the leader of Cloud Remote Sensing Group at Institute of Environmental Physics and Remote Sensing of Univeristy of Bremen. Having obtained his academic degrees from the Belarusian State University and Institute of Physics at National Academy of Sciences of Belarus, he spent most of his career working for Institute of Physics in Minsk before taking up his present appointment at University of Bremen in 2001. He has authored over 150 scientific publications and published 4 books (Lights Scattering Media Optics, Polarization Optics of Random Media, Cloud Optics, Aerosol Optics). He is also a member of the American and European Geophysical Unions and an associate editor of the JQSRT, Atmospheric Measurement Techniques, and Remote Sensing. He is editor of the series in "Light Scattering" and "Wiley Series in Atmospheric Physics and Remote Sensing".
Vijay Natraj is a scientist at the Jet Propulsion Laboratory, California Institute of Technology (JPL). He obtained Bachelor and Master from the National University of Singapore, Singapore in 1998 and 2002, respectively, and a Ph.D. in Chemical Engineering from the California Institute of Technology (Caltech), Pasadena, USA in 2008. His Ph.D. thesis was on radiative transfer modeling for the retrieval of CO2 from space. Before joining JPL, Dr. Natraj worked as a researcher in the Department of Planetary Sciences at Caltech. His research interests are in the areas of polarization, aerosol and cloud modeling, fast radiative transfer computations, and information theoretical analysis.
