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
  • , Benjamin Torres
  • , Yevgeny Derimian
  • , Lei Li
  • , Marcos Herreras-Giralda
  • , Milagros Herrera
  • , Yana Karol
  • , Christian Matar
  • , Gregory L. Schuster
  • , Reed 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

Research output: Contribution to journalArticlepeer-review

111 Scopus citations

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.

Original languageEnglish
Article number706851
JournalFrontiers in Remote Sensing
Volume2
DOIs
StatePublished - 1 Jan 2021
Externally publishedYes

Keywords

  • GRASP algorithm
  • atmospheric aerosol
  • atmospheric remote sensing
  • inversion method
  • multiple a priori constraints

ASJC Scopus subject areas

  • Biophysics
  • Physics and Astronomy (miscellaneous)
  • General Earth and Planetary Sciences

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