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タイトルTools for Atmospheric Radiative Transfer: Streamer and FluxNet
本文(外部サイト)http://hdl.handle.net/2060/19980018471
著者(英)Schweiger, Axel J.; Key, Jeffrey R.
著者所属(英)Boston Univ.
発行日1998-01-14
言語eng
内容記述Two tools for the solution of radiative transfer problems are presented. Streamer is a highly flexible medium spectral resolution radiative transfer model based on the plane-parallel theory of radiative transfer. Capable of computing either fluxes or radiances, it is suitable for studying radiative processes at the surface or within the atmosphere and for the development of remote-sensing algorithms. FluxNet is a fast neural network-based implementation of Streamer for computing surface fluxes. It allows for a sophisticated treatment of radiative processes in the analysis of large data sets and potential integration into geophysical models where computational efficiency is an issue. Documentation and tools for the development of alternative versions of Fluxnet are available. Collectively, Streamer and FluxNet solve a wide variety of problems related to radiative transfer: Streamer provides the detail and sophistication needed to perform basic research on most aspects of complex radiative processes while the efficiency and simplicity of FluxNet make it ideal for operational use.
NASA分類Geophysics
レポートNONASA/CR-1998-207151
NAS 1.26:207151
MS96-151
権利No Copyright


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