
Analytical Methods in Radiative Transfer
Description
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In Analytical Methods in Radiative Transfer, a team of distinguished researchers delivers a comprehensive exploration of solutions to practical problems of modern atmospheric optics related to solar light interaction with the terrestrial atmosphere and the remote sensing of clouds, aerosols, and gases. The authors describe analytic methods in radiative transfer that help explain atmospheric phenomena.
The book includes discussions on the interaction of solar light with the atmosphere. Readers will also benefit from thorough reviews of various analytical radiative transfer techniques, for various turbid media, including media with phase functions extended in the forward direction, and also semi-infinite, non-absorbing, weakly absorbing, and strongly absorbing light scattering media.
Analytical Methods in Radiative Transfer also includes:
* A thorough introduction to exact solutions of the radiative transfer equation, including situations of single scattering, as well as isotropic and Rayleigh scattering
* A comprehensive exploration of approximate solutions for scalar radiative transfer, including single and multiple light scattering separation and the case of semi-infinite media such as snow
* In-depth examinations of the applications of analytical methods in atmospheric radiative transfer, including aerosol remote sensing, cloud remote sensing, and the remote sensing of trace gases
Perfect for meteorologists, climatologists and graduate students studying physics, Analytical Methods in Radiative Transfer is also an indispensable resource for geophysicists seeking a practical exploration of modern atmospheric optics.
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Persons
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.
Content
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
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