Literature DB >> 18324281

Aerosol retrievals over the ocean by use of channels 1 and 2 AVHRR data: sensitivity analysis and preliminary results.

M I Mishchenko1, I V Geogdzhayev, B Cairns, W B Rossow, A A Lacis.   

Abstract

We outline the methodology of interpreting channels 1 and 2 Advanced Very High Resolution Radiometer (AVHRR) radiance data over the oceans and describe a detailed analysis of the sensitivity of monthly averages of retrieved aerosol parameters to the assumptions made in different retrieval algorithms. The analysis is based on using real AVHRR data and exploiting accurate numerical techniques for computing single and multiple scattering and spectral absorption of light in the vertically inhomogeneous atmosphere-ocean system. We show that two-channel algorithms can be expected to provide significantly more accurate and less biased retrievals of the aerosol optical thickness than one-channel algorithms and that imperfect cloud screening and calibration uncertainties are by far the largest sources of errors in the retrieved aerosol parameters. Both underestimating and overestimating aerosol absorption as well as the potentially strong variability of the real part of the aerosol refractive index may lead to regional and/or seasonal biases in optical-thickness retrievals. The Angström exponent appears to be the aerosol size characteristic that is least sensitive to the choice of aerosol model and should be retrieved along with optical thickness as the second aerosol parameter.

Year:  1999        PMID: 18324281     DOI: 10.1364/ao.38.007325

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


  6 in total

1.  Opposing forces of aerosol cooling and El Nino drive coral bleaching on Caribbean reefs.

Authors:  Jennifer A Gill; Andrew R Watkinson; John P McWilliams; Isabelle M Côté
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-20       Impact factor: 11.205

2.  Aerosol optical and physical properties during winter monsoon pollution transport in an urban environment.

Authors:  S Verma; S N Bhanja; S K Pani; A Misra
Journal:  Environ Sci Pollut Res Int       Date:  2013-12-22       Impact factor: 4.223

3.  Cross-calibration of S-NPP VIIRS moderate resolution reflective solar bands against MODIS Aqua over dark water scenes.

Authors:  A M Sayer; N C Hsu; C Bettenhausen; R E Holz; J Lee; G Quinn; P Veglio
Journal:  Atmos Meas Tech       Date:  2017-04-13       Impact factor: 4.176

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.  Saharan dust detection using multi-sensor satellite measurements.

Authors:  Sriharsha Madhavan; John J Qu; X Hao
Journal:  Heliyon       Date:  2017-02-01
  6 in total

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