Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements

Atmospheric Measurement Techniques

Volumn 7, Issue 5, 2014, Pages 1185-1190

  Maatta A ^a,b   Laine, M ^a   Tamminen, J ^a   Veefkind, J P ^c,d  

^a FINNISH METEOROLOGICAL INSTITUTE   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

^c ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE KNMI   (Netherlands)

^d DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOL COMPOSITION; AURA (SATELLITE); FOREST FIRE; NSCAT; OPTICAL PROPERTY; OZONE; QUANTITATIVE ANALYSIS; UNCERTAINTY ANALYSIS; VOLCANIC CLOUD;

GREECE; RUSSIAN FEDERATION; SAHARA;

EID: 84900454352     PISSN: 18671381     EISSN: 18678548     Source Type: Journal    
DOI: 10.5194/amt-7-1185-2014     Document Type: Article

References (37)

1. Banerjee S. Carlin B. P. and Gelfand A. E.: Hierarchical Modeling and Analysis for Spatial Data Chapman and Hall/CRC Press Boca Raton 2004.
2. Brinksma E. J. Pinardi G. Volten H. Braak R. Richter A. Schönhardt A. van Roozendael M. Fayt C. Hermans C. Dirksen R. J. Vlemmix T. Berkhout A. J. C. Swart D. P. J. Oetjen H. Wittrock F. Wagner T. Ibrahim O. W. de Leeuw G. Moerman M. Curier R. L. Celarier E. A. Cede A. Knap W. H. Veefkind J. P. Eskes H. J. Allaart M. Rothe P. Piters A. J. M. and Levelt P. F.: The 2005 and 2006 DANDELIONS NO2 and aerosol intercomparison campaigns J. Geophys. Res. 113 D16S46 doi:10.1029/2007JD008808 2008.
3. Curier R. L. Veefkind J. P. Braak R. Veihelmann B. Torres O. and de Leeuw G.: Retrieval of aerosol optical properties from OMI radiances using a multiwavelength algorithm: Application to western Europe J. Geophys. Res. 113 D17S90 doi:10.1029/200 7JD008738 2008.
4. Dubovik O. Herman M. Holdak A. Lapyonok T. Tanré D. Deuzé J. L. Ducos F. Sinyuk A. and Lopatin A.: Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations Atmos. Meas. Tech. 4 975- 1018 doi:10.5194/amt-4-975-2011 2011.
5. Gelman A. Carlin J. B. Stern H. S. and Rubin D. B.: Bayesian Data Analysis 2nd Edn. Chapman & Hall 2003.
6. Gershenfeld N.:The Nature of Mathematical Modeling Cambridge University Press 1999.
7. Govaerts Y. M. W agner S. Lattanzio A. and Watts P.: Joint retrieval of surface reflectance and aerosol optical depth from MSG/SEVIRI observations with an optimal estimation approach: 1. Theory J. Geophys. Res. 115 D02203 doi:10.1029/20 09JD011779 2010.
8. Hoeting J. A. Madigan D. Raftery A. E. and Volinsky C. T.: Bayesian Model averaging: A Tutorial Statist. Sci. 14 382-417 1999.
9. Kahn R. A. Gaitle y B. J. Garay M. J. Diner D. J. Eck T. F. Smirnov A. and Holben B. N.: Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network J. Geophys. Res. 11 5 D23209 doi:10.1029/2010JD014601 2010.
10. Kaskaoutis D. G. Kharol S. K. Sifakis N. Nastos P. T. Sharma A. R. Badarinath K. V. S. and Kambezidis H. D.: Satellite monitoring of the biomas s-burning aerosols during the wildfires of August 2007 in Greece: Climate implications Atmos. Environ. 45 716-726 2011.
11. Kennedy M. C. and O'Hagan A.: Bayesian Calibration of Computer Models J. Roy. Stat. Soc. B 63 425-464 2001.
12. Kleipool Q. L. Dobber M. R. de Haan J. F. and Levelt P. F.: Earth surface reflectance climatology from 3 years of OMI data J. Geophys. Res. 113 D18308 doi:10.1029/2008JD010290 2008.
13. Kokhanovsky A. A. Deuzé J. L. Diner D. J. Dubovik O. Ducos F. Emde C. Garay M. J. Grainger R. G. Heckel A. Herman M. Katse v I. L. Keller J. Levy R. North P. R. J. Prikhach A. S. Rozanov V. V. Sayer A. M. Ota Y. Tanré D. Thomas G. E. and Zege E. P.: The inter-comparison of major satellite aerosol retrieval algorithms using simulat ed intensity and polar-ization characteristics of reflected light Atmos. Meas. Tech. 3 909- 932 doi:10.5194/amt-3-909-2010 2010.
14. Levelt P. F. Hilsenrath E. Leppelmeier G. W. van den Oord G. H. J. Bhartia P. K. Tamminen J. de Haan J. F. and Veefkind J. P.: Science Objectives of the Ozone Monitoring Instrument IEEE T. Geosci. Remote 44 1199-1208 2006 a.
15. Levelt P. F. van den Oord G. H. J. Dobber M. R. Mälkki A. Visser H. de Vries J. Stammes P. Lundell J. O. V. and Saari H.: The Ozone Monitoring Instrument IEEE T. Geosci. Remote 44 1093-1101 2006 b.
16. Levy R. C. Remer L. A. Tanré D. Mattoo S. and Kaufman Y. J.: Algorithm for remote sensing of tropospheric aerosol over dark targets from MODIS: Collections 005 and 051: Revision 2 Feb 2009 MODIS A lgorithm Theoretical Basis Document 2009.
17. Levy R. C. Remer L. A. Kleidman R. G. Mattoo S. Ichoku C. Kahn R. and Eck T. F.: Global evaluation of the Collection 5 MODIS dark-target aerosol products over land Atmos. Chem. Phys. 10 10399-10420 doi:10.5194/acp-10-10399-2010 2010.
18. Li Z. Zhao X. Kahn R. Mishchenko M. Remer L. Lee K.-H. Wang M. Laszlo I. Nakajima T. Maring H.: Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: A review and perspective Ann. Geophys. 27 2755-2770 doi:10.5194/angeo-27-2755-2009 2009.
19. Livingston J. M. Redemann J. Russell P. B. Torres O. Veihelmann B. Veefkind P. Braak R. Smirnov A. Remer L. Bergstrom R. W. Coddington O. Schmidt K. S. Pilewskie P. J ohnson R. and Zhang Q.: Comparison of aerosol optical depths from the Ozone Monitoring Instrument (OMI) on Aura with results from airborne sunphotometry other space and ground measurements during MILAGRO/INTEX-B Atmos. Chem. Phys. 9 6743-6765 doi:10.5194/acp-9-6743-2009 2009.
20. MacKay D. J. C.: Bayesian interpolation Neural Comput. 4 415-447 doi:10.1162/neco.1992.4.3.415 1991.
21. Mei L. Xue Y. de Leeuw G. Guang J. Wang Y. Li Y. Xu H. Yang L. Hou T. He X. Wu C. Dong J. and Chen Z.: Integration of remote sensing data and surface observations to est imate the impact of the Russian wildfires over Europe and Asia during August 2010 Biogeosciences 8 3771- 3791 doi:10.5194/bg-8-3771-2011 2011.
22. Mielonen T. Portin H. Komppula M. Leskinen A. Tamminen J. Ialongo I. Hakkarainen J. Lehtinen K. E. J. and Arola A.: Biomass burning aerosols observed in Eastern Finland during the Russian wildfires in summer 2010-Part 2: Remote sensing Atmos. Environ. 47 279-287 doi:10.1016/j.atmosenv.2011.07.016 2012.
23. Preiler J. Wagner F. Pereira S. N. and Guerrero-Rascado J. L.: Multi-instrumental observation of an exceptionally strong Saharan dust outbreak over Portugal J. Geophys. Res. 116 D24204 doi:10.1029/2011JD016527 2011.
24. Rasmussen C. E. and Williams C. K. I.: Gaussian Processes for Machine Learning available at: http://www.GaussianProcess. org/gpml (last access: 11 April 2014) The MITT Press 2006.
25. Robert C. P.: The Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation 2nd Edn. Springer New York 2007.
26. Sayer A. M. Thomas G. E. and Grainger R. G.: A sea surface reflectance model for (A)ATSR and application to aerosol retrievals Atmos. Meas. Tech. 3 813- 838 doi:10.5194/amt-3-813-2010 2010.
27. Sayer A. M. Thomas G. E. Grainger R. G. Carboni E. Poulsen C. and Siddans R.: Use of MODIS-derived surface reflectance data in the ORAC-AATSR aerosol retrieval algorithm: Impact of differences between sensor spectral response functions Remote Sens. Environ. 116 177- 188 doi:10.1016/j.rse.2011.02.029 2012.
28. Sayer A. M. Hsu N. C. Bettenhausen C. and Jeong M.-J.: Validation and uncertainty estimates for MODIS Collection 6 "Deep Blue" aerosol data J. Geophys. Res. Atmos. 118 7864- 7872 doi:10.1002/jgrd.50600 2013.
29. Smirnov A. Holben B. N. Eck T. F. Dubovik O. and Slutsker I.: Cloud-screening and quality control algorithms for the AERONET database Remote Sens. Environ. 73 337-349 2000.
30. Spiegelhalter D. J. Best N. G. Carlin B. P. and van der Linde A.: Bayesian measures of model complexity and fit J. Roy. Stat. Soc. B 64 583-639 2002.
31. Thomas G. E. Poulsen C. A. Sayer A. M. Marsh S. H. Dean S. M. Carboni E. Siddans R. Grainger R. G. and Lawrence B. N.: The GRAPE aerosol retrieval algorithm Atmos. Meas. Tech. 2 679-701 doi:10.5194/amt-2-679-2009 2009.
32. Torres O. Decae R. Veefkind J. P. and de Leeuw G.: OMI Aerosol Retrieval Algorithm in: OMI Algorithm Theoretical Basis Document: Clouds Aerosols and Surface UV Irradiance 3 version 2 OMI-ATBD-03 edited by: Stammes P. NASA Goddard Space Flight Center Greenbelt Md 47-71 2002.
33. Torres O. Tanskanen A. Veihelmann B. Ahn C. Braak R. Bhartia P. K. Veefkind P. and Levelt P.: Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overwiew J. Geophys. Res. 11 2 D24S47 doi:10.1029/2007JD008809 2007.
34. van Donkelaar A. Martin R. V. Spurr R. J. D. Drury E. Remer L. A. Levy R. C. and Wang J.: Optimal estimation for global ground-level fine particulate matter concentrations J. Geophys. Res. Atmos. 118 5621-5636 doi:10.1002/jgrd. 50479 2013.
35. Veefkind J. P. Aben I. McMullan K. Förster H. de Vries J. Otter G. Claas J. Eskes H. J. de Haan J. F. Kleipool Q. van Weele M. Hasekamp O. Hoogeveen R. Landgraf J. Snel R. Tol P. Ingmann P. Voors R. Kruizinga B. Vink R. Visser H. and Leve lt P. F.: TROPOMI on the ESA Sentinel-5 Precursor: A GMES mission for global observations of the atmospheric composition for climate air quality and ozone layer applications Remote Sens. Environ. 120 70-83 doi:/10.1016/j.rse.2011.09.027 2012.
36. Veihelmann B. Levelt P. F. Stammes P. and Veefkind J. P.: Simulation study of the aerosol information content in OMI spectral reflectance measurements Atmos. Chem. Phys. 7 31 15-3127 doi:10.5194/acp-7-3115-2007 2007.
37. Wagner S. C. Govaerts Y. M. and Lattanzio A.: Joint retrieval of surface reflectance and aerosol optical depth from MSG/SEVIRI observations with an optimal estimation approach: 2. Implementation and evaluation J. Geophys. Res. 115 D02204 doi:10.1029/2009JD0 11780 2010.