Preprints
https://doi.org/10.21203/rs.3.rs-3966645/v2
https://doi.org/10.21203/rs.3.rs-3966645/v2
03 Nov 2025
 | 03 Nov 2025
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

EigenFlux: A Stable Multi-Stream Radiative Transfer Method for Strongly Backward-Scattering Media

Daniel P. Johnson and Matthew S. Johnson

Abstract. The radiative transfer (RT) of light and radiation through a medium such as an atmosphere, pigment, or water is of interest to many research communities, such as atmospheric physics and chemistry, metereology, climate research, astronomy, remote sensing, painting and coating material science, oceanography, hydrology, and graphics rendering. Despite its many uses, to the best of our knowledge there is not a non-commercial multi-stream algorithm capable of handling strongly backwards scattering systems with asymmetries in excess of -0.95. In this paper we present an derivation and implementation of the EigenFlux system which incorporates use of a Mesh Approximates multistream and eigenvalue decomposition with numerical stability achieved through the use of a natural reflectance condition. We conclude with numerical demonstrations of the range and precision of the method.

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Daniel P. Johnson and Matthew S. Johnson

Status: open (until 09 Dec 2025)

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Daniel P. Johnson and Matthew S. Johnson
Daniel P. Johnson and Matthew S. Johnson
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Latest update: 03 Nov 2025
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Short summary
We developed a new way to calculate how light moves through the atmosphere when it is strongly scattered by clouds, dust, or surfaces. Existing tools often become unstable under such conditions, but our method, called EigenFlux, remains accurate and efficient. This makes it possible to better interpret satellite and ground-based observations of the atmosphere, which in turn helps improve air quality studies and climate research.
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