Literature DB >> 17514291

Retrieval of aerosol properties over land surfaces: capabilities of multiple-viewing-angle intensity and polarization measurements.

Otto P Hasekamp1, Jochen Landgraf.   

Abstract

We investigate the capabilities of different instrument concepts for the retrieval of aerosol properties over land. It was found that, if the surface reflection properties are unknown, only multiple-viewing-angle measurements of both intensity and polarization are able to provide the relevant aerosol parameters with sufficient accuracy for climate research. Furthermore, retrieval errors are only little affected when the number of viewing angles is increased at the cost of the number of spectral sampling points and vice versa. This indicates that there is a certain amount of freedom for the instrument design of dedicated aerosol instruments. The final choice on the trade-off between the spectral sampling and the number of viewing angles should be made taking other factors into account, such as instrument complexity and the ability to obtain global coverage.

Year:  2007        PMID: 17514291     DOI: 10.1364/ao.46.003332

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  7 in total

1.  Multi-Angle Imager for Aerosols.

Authors:  Yang Liu; David J Diner
Journal:  Public Health Rep       Date:  2016-12-12       Impact factor: 2.792

2.  Passive remote sensing of aerosol layer height using near-UV multi-angle polarization measurements.

Authors:  Lianghai Wu; Otto Hasekamp; Bastiaan van Diedenhoven; Brian Cairns; John E Yorks; Jacek Chowdhary
Journal:  Geophys Res Lett       Date:  2016-08-11       Impact factor: 4.720

3.  Intercomparison of airborne multi-angle polarimeter observations from the Polarimeter Definition Experiment.

Authors:  Kirk Knobelspiesse; Qian Tan; Carol Bruegge; Brian Cairns; Jacek Chowdhary; Bastiaan van Diedenhoven; David Diner; Richard Ferrare; Gerard van Harten; Veljko Jovanovic; Matteo Ottaviani; Jens Redemann; Felix Seidel; Kenneth Sinclair
Journal:  Appl Opt       Date:  2019-01-20       Impact factor: 1.980

4.  Satellite Ocean Aerosol Retrieval (SOAR) algorithm extension to S-NPP VIIRS as part of the 'Deep Blue' aerosol project.

Authors:  A M Sayer; N C Hsu; J Lee; C Bettenhausen; W V Kim; A Smirnov
Journal:  J Geophys Res Atmos       Date:  2017-11-17       Impact factor: 4.261

5.  Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements.

Authors:  A M Sayer; N C Hsu; J Lee; N Carletta; S-H Chen; A Smirnov
Journal:  J Geophys Res Atmos       Date:  2017-07-20       Impact factor: 4.261

6.  Remote sensing of aerosols with small satellites in formation flight.

Authors:  Kirk Knobelspiesse; Sreeja Nag
Journal:  Atmos Meas Tech       Date:  2018-07-06       Impact factor: 4.176

7.  SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses.

Authors:  Ralph A Kahn; Tim A Berkoff; Charles Brock; Gao Chen; Richard A Ferrare; Steven Ghan; Thomas F Hansico; Dean A Hegg; J Vanderlei Martins; Cameron S McNaughton; Daniel M Murphy; John A Ogren; Joyce E Penner; Peter Pilewskie; John H Seinfeld; Douglas R Worsnop
Journal:  Bull Am Meteorol Soc       Date:  2017-10-30       Impact factor: 8.766

  7 in total

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