A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications

Oleg Dubovik,David Fuertes,Pavel Litvinov,Anton Lopatin,Tatyana Lapyonok,Ivan Doubovik,Feng Xu,Fabrice Ducos,Cheng Chen,Benjamín Torres,Yevgeny Derimian,Lei Li,Marcos Herreras-Giralda,Milagros Herrera,Yana Karol,Christian Matar,Gregory L. Schuster,Reed W. Espinosa,Anin Puthukkudy,Zhengqiang Li,Juergen Fischer,Rene Preusker,Juan Cuesta,Axel Kreuter,Alexander Cede,Michael Aspetsberger,Daniel Marth,Lukas Bindreiter,Andreas Hangler,Verena Lanzinger,Christoph Holter,Christian Federspiel

A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications

2021

Advanced inversion Multi-term approach utilizing multiple a priori constraints is proposed. The approach is used as a base for the first unified algorithm GRASP that is applicable to diverse remote sensing observations and retrieving a variety of atmospheric properties. The utilization of GRASP for diverse remote sensing observations is demonstrated.

Keywords:

Base (topology)
Inversion (meteorology)
Algorithm
Remote sensing
remote sensing
Variety (cybernetics)
GRASP
Term (time)
A priori and a posteriori
Computer science

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