NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Polarimetric Remote Sensing of Atmospheric Aerosols: Instruments, Methodologies, Results, and PerspectivesPolarimetry is one of the most promising types of remote sensing for improved characterization of atmospheric aerosol. Indeed, aerosol particles constitute a highly variable atmospheric component characterized by a large number of parameters describing particle sizes, morphologies (including shape and internal structure), absorption and scattering properties, amounts, horizontal and vertical distribution, etc. Reliable monitoring of all these parameters is very challenging, and therefore the aerosol effects on climate and environment are considered to be among the most uncertain factors in climate and environmental research. In this regard, observations that provide both the angular distribution of the scattered atmospheric radiation as well as its polarization state at multiple wavelengths covering the UV–SWIR spectral range carry substantial implicit information on the atmospheric composition. Therefore, high expectations in improving aerosol characterization are associated with detailed passive photopolarimetric observations. The critical need to use space-borne polarimetry for global accurate monitoring of detailed aerosol properties was first articulated in the late 1980s and early 1990s. By now, several orbital instruments have already provided polarization observations from space, and a number of advanced missions are scheduled for launch in the coming years by international and national space agencies. The first and most extensive record of polarimetric imagery was provided by POLDER-I, POLDER-II, and POLDER/PARASOL multi-angle multi-spectral polarization sensors. Polarimetric observations with the POLDER-like design intended for collecting extensive multi-angular multi-spectral measurements will be provided by several instruments, such as the MAI/TG-2, CAPI/TanSat, and DPC/GF-5 sensors recently launched by the Chinese Space Agency. Instruments such as the 3MI/MetOp-SG, MAIA, SpexOne and HARP2 on PACE, POSP, SMAC, PCF, DPC–Lidar, ScanPol and MSIP/Aerosol-UA, MAP/Copernicus CO2 Monitoring, etc. are planned to be launched by different space agencies in the coming decade. The concepts of these future instruments, their technical designs, and the accompanying algorithm development have been tested intensively and analyzed using diverse airborne prototypes. Certain polarimetric capabilities have also been implemented in such satellite sensors as GOME-2/MetOp and SGLI/GCOM-C.
Document ID
20180008794
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Dubovik, Oleg
(Université de Lille Villeneuve d'Asoq, France)
Li, Zhengqiang
(Chinese Academy of Sciences Beijing, China)
Mishchenko, Michael I.
(NASA Goddard Inst. for Space Studies New York, NY, United States)
Tanre, Didier
(Université de Lille Villeneuve d'Asoq, France)
Karol, Yana
(Generalized Retrieval of Atmosphere and Surface Properties (GRASP SAS) Bachy, France)
Bojkov, Bojan
(European Organization for the Exploitation of Meteorological Satellites Darmstadt, Germany)
Cairns, Brian
(NASA Goddard Inst. for Space Studies New York, NY, United States)
Diner, David J.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Espinosa, W. Reed
(Maryland Univ. Baltimore County (UMBC) Baltimore, MD, United States)
Goloub, Philippe
(Université de Lille Villeneuve d'Asoq, France)
Gu, Xingfa
(Chinese Academy of Sciences Beijing, China)
Hasekamp, Otto
(SRON Netherlands Institute for Space Research Utrecht, Netherlands)
Hong, Jin
(Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences Hefei, Anhui, China)
Hou, Weizhen
(Chinese Academy of Sciences Beijing, China)
Knobelspiesse, Kirk D.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Landgraf, Jochen
(SRON Netherlands Institute for Space Research Utrecht, Netherlands)
Litvinov, Pavel
(Generalized Retrieval of Atmosphere and Surface Properties (GRASP SAS) Bachy, France)
Liu, Yi
(Institute of Atmospheric Physics Beijing, China)
Lopatin, Anton
(Generalized Retrieval of Atmosphere and Surface Properties (GRASP SAS) Bachy, France)
Marbach, Thierry
(European Organization for the Exploitation of Meteorological Satellites Darmstadt, Germany)
Maring, Hal
(NASA Headquarters Washington, DC United States)
Martins, Vanderlei
(Maryland Univ. Baltimore County (UMBC) Baltimore, MD, United States)
Meijer, Yasjka
(European Space Agency. European Space Research and Technology Center, ESTEC Noordwijk, Netherlands)
Milinevsky, Gennadi
(Taras Shevchenko National University of Kyiv Kyiv, Ukraine)
Mukai, Sonoyo
(Kyoto College of Graduate Studies for Informatics Kyoto, Japan)
Parol, Frederic
(Université de Lille Villeneuve d'Asoq, France)
Qiao, Yanli
(Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences Hefei, Anhui, China)
Remer, Lorraine
(Maryland Univ. Baltimore County (UMBC) Baltimore, MD, United States)
Rietjens, Jeroen
(SRON Netherlands Institute for Space Research Utrecht, Netherlands)
Sano, Itaru
(Kindai University Osaka, Japan)
Stammes, Piet
(Royal Netherlands Meteorological Institute De Bilt, Netherlands)
Stamnes, Snorre A.
(NASA Langley Research Center Hampton, VA, United States)
Sun, Xiaobing
(Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences Hefei, Anhui, China)
Tabary, Pierre
(Centre National d'Etudes Spatiales (CNES) Toulouse, France)
Travis, Larry D.
(NASA Goddard Inst. for Space Studies New York, NY, United States)
Waquet, Fabien
(Université de Lille Villeneuve d'Asoq, France)
Xu, Feng
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Yan, Changxiang
(Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun, Jilin, China)
Yin, Dekui
(Shanghai Institute of Technical Physics, Chinese Academy of Sciences Shanghai, China)
Date Acquired
December 27, 2018
Publication Date
December 4, 2018
Publication Information
Publication: Journal of Quantitative Spectroscopy and Radiative Transfer
Publisher: Elsevier
Volume: 224
ISSN: 0022-4073
Subject Category
Earth Resources And Remote Sensing
Instrumentation And Photography
Report/Patent Number
GSFC-E-DAA-TN64412
Funding Number(s)
CONTRACT_GRANT: FNRA-ANR-11-LABX-0005-01
CONTRACT_GRANT: NNH15CO48B
CONTRACT_GRANT: NNG17HS00C
CONTRACT_GRANT: NKRDPC-2016YFE0201400
Distribution Limits
Public
Copyright
Other
Keywords
Aerosols
Radiative transfer
Retrieval algorithms
Remote sensing
Polarimetry

Available Downloads

There are no available downloads for this record.
No Preview Available