A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications - INSU - Institut national des sciences de l'Univers Accéder directement au contenu
Article Dans Une Revue Frontiers in Remote Sensing Année : 2021

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

David Fuertes
  • Fonction : Auteur
Pavel Litvinov
  • Fonction : Auteur
Anton Lopatin
  • Fonction : Auteur
Feng Xu
Cheng Chen
  • Fonction : Auteur
Lei Li
  • Fonction : Auteur
  • PersonId : 758836
  • IdRef : 156032511
Marcos Herreras-Giralda
  • Fonction : Auteur
Yana Karol
  • Fonction : Auteur
Christian Matar
  • Fonction : Auteur
Zhengqiang Li
  • Fonction : Auteur
Axel Kreuter
  • Fonction : Auteur
Alexander Cede
  • Fonction : Auteur
Michael Aspetsberger
  • Fonction : Auteur
Daniel Marth
  • Fonction : Auteur
Lukas Bindreiter
  • Fonction : Auteur
Andreas Hangler
  • Fonction : Auteur
Verena Lanzinger
  • Fonction : Auteur
Christoph Holter
  • Fonction : Auteur
Christian Federspiel
  • Fonction : Auteur

Résumé

We describe an approach called the Multi-term Least Square Method (LSM) that has been used to develop complex aerosol inversion algorithms for a number of years and applied to retrievals of laboratory and ground-based measurements. Theoretically, it was shown how to unite the advantages of a variety of approaches and to provide transparency and flexibility in development of practically efficient retrievals. From a practical viewpoint, this approach provides a methodology for using multiple a priori constraints to atmospheric problems where rather different groups of parameters should be retrieved simultaneously. For example, Dubovik and King (J. Geophys. Res., 2000, 105, 673–696) used multi-term LSM for designing the algorithm that retrieves aerosol size distribution and spectrally dependent complex index of refraction from Sun/sky-radiometer ground-based observations. Furthermore, the significant potential of the multi-term LSM approach was demonstrated with the development of the GRASP (Generalized Retrieval of Aerosol and Surface Properties) algorithm. The GRASP algorithm is based on several generalization principles with the idea to develop a scientifically rigorous and versatile algorithm. It has significantly extended capabilities and areas of applicability and can be applied to diverse remote sensing observations. This paper also illustrates the practical applicability of GRASP and, therefore the multi-term LSM, in diverse situations.
Fichier principal
Vignette du fichier
frsen-02-706851.pdf (10.77 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

insu-03435399 , version 1 (19-11-2021)

Licence

Paternité

Identifiants

Citer

O. Dubovik, David Fuertes, Pavel Litvinov, Anton Lopatin, Tatyana Lapyonok, et al.. A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications. Frontiers in Remote Sensing, 2021, 2, pp.706851. ⟨10.3389/frsen.2021.706851⟩. ⟨insu-03435399⟩
91 Consultations
18 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More