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; R. Espinosa; Anin Puthukkudy; Zhengqiang Li; J. Fischer; René Preusker; Juan Cuesta; Axel Kreuter; Alexander Cede; Michael Aspetsberger; Daniel Marth; Lukas Bindreiter; Andreas Hangler; Verena Lanzinger; Christoph Holter; Christian Federspiel

doi:10.3389/frsen.2021.706851

Key Points

To propose and describe a comprehensive multi-term approach for atmospheric remote sensing using the GRASP algorithm.
Developed a unified algorithm (GRASP) applicable to various remote sensing observations.
Demonstrated application of the algorithm to retrieve a wide range of atmospheric properties.
Successfully applied the GRASP algorithm across diverse remote sensing datasets.
Highlighted the algorithm's versatility in retrieving multiple atmospheric characteristics.

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Implication

Demonstrates the effectiveness of the GRASP algorithm in retrieving atmospheric properties through remote sensing, indicating its broad application potential.

Abstract

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.

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Dubovik et al. (2021) studied this question.

synapsesocial.com/papers/6a5b69926c03cbea17d354a4 https://doi.org/10.3389/frsen.2021.706851

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

Key Points

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Implication

Abstract

Discussion

Cite This Study

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

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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