Frontiers in Remote Sensing (Oct 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
- Oleg Dubovik,
- David Fuertes,
- Pavel Litvinov,
- Anton Lopatin,
- Tatyana Lapyonok,
- Ivan Doubovik,
- 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,
- Alexander Cede,
- Michael Aspetsberger,
- Daniel Marth,
- Lukas Bindreiter,
- Andreas Hangler,
- Verena Lanzinger,
- Christoph Holter,
- Christian Federspiel
Affiliations
- Oleg Dubovik
- Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France
- David Fuertes
- GRASP-SAS, Villeneuve d’Ascq, France
- Pavel Litvinov
- GRASP-SAS, Villeneuve d’Ascq, France
- Anton Lopatin
- GRASP-SAS, Villeneuve d’Ascq, France
- Tatyana Lapyonok
- Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France
- Ivan Doubovik
- Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France
- Ivan Doubovik
- GRASP-SAS, Villeneuve d’Ascq, France
- Feng Xu
- School of Meteorology, The University of Oklahoma, Norman, OK, United States
- Fabrice Ducos
- Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France
- Cheng Chen
- GRASP-SAS, Villeneuve d’Ascq, France
- Benjamin Torres
- Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France
- Yevgeny Derimian
- Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France
- Lei Li
- State Key Laboratory of Severe Weather (LASW) and Key Laboratory of Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences, Beijing, China
- Marcos Herreras-Giralda
- GRASP-SAS, Villeneuve d’Ascq, France
- Milagros Herrera
- Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, France
- Yana Karol
- GRASP-SAS, Villeneuve d’Ascq, France
- Christian Matar
- GRASP-SAS, Villeneuve d’Ascq, France
- Gregory L. Schuster
- NASA Langley Research Center, Hampton, VA, United States
- Reed Espinosa
- NASA Goddard Space Flight Center, Greenbelt, MD, United States
- Anin Puthukkudy
- Physics Department, University of Maryland Baltimore County, Baltimore, MD, United States
- Zhengqiang Li
- Aerospace Information Research Institute, CAS, Beijing, China
- Juergen Fischer
- Institute for Space Science, Free University of Berlin, Berlin, Germany
- Rene Preusker
- Institute for Space Science, Free University of Berlin, Berlin, Germany
- Juan Cuesta
- 0Univ Paris Est Creteil and Université de Paris, CNRS, LISA, Créteil, France
- Axel Kreuter
- 1LuftBlick OG, Austria Instead of LuftBlick CmbH, Innsbruck, Austria
- Alexander Cede
- NASA Goddard Space Flight Center, Greenbelt, MD, United States
- Alexander Cede
- 1LuftBlick OG, Austria Instead of LuftBlick CmbH, Innsbruck, Austria
- Michael Aspetsberger
- 2Cloudflight GmbH, Linz, Austria
- Daniel Marth
- 2Cloudflight GmbH, Linz, Austria
- Lukas Bindreiter
- 2Cloudflight GmbH, Linz, Austria
- Andreas Hangler
- 2Cloudflight GmbH, Linz, Austria
- Verena Lanzinger
- 2Cloudflight GmbH, Linz, Austria
- Christoph Holter
- 2Cloudflight GmbH, Linz, Austria
- Christian Federspiel
- 2Cloudflight GmbH, Linz, Austria
- DOI
- https://doi.org/10.3389/frsen.2021.706851
- Journal volume & issue
-
Vol. 2
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.
Keywords
- inversion method
- multiple a priori constraints
- atmospheric remote sensing
- GRASP algorithm
- atmospheric aerosol
