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Cited by 64Atmospheric aerosols and cloudsAtmospheric chemistry and aerosolsFire effects on ecosystems

Regional representativity of AERONET observation sites during the biomass burning season in South America determined by correlation studies with MODIS Aerosol Optical Depth

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Hoelzemann, Judith J., Longo, Karla M., Fonseca, Rafael M., do Rosário, Nilton M. E., Elbern, Hendrik, Freitas, Saulo R., Pires, Carlos·2009·Journal of Geophysical Research: Atmospheres
DOI 10.1029/2008jd010369
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Abstract

This paper presents an analysis of ground‐based Aerosol Optical Depth (AOD) observations by the Aerosol Robotic Network (AERONET) in South America from 2001 to 2007 in comparison with the satellite AOD product of Moderate Resolution Imaging Spectroradiometer (MODIS), aboard TERRA and AQUA satellites. Data of 12 observation sites were used with primary interest in AERONET sites located in or downwind of areas with high biomass burning activity and with measurements available for the full time range. Fires cause the predominant carbonaceous aerosol emission signal during the dry season in South America and are therefore a special focus of this study. Interannual and seasonal behavior of the observed AOD at different sites were investigated, showing clear differences between purely fire and urban influenced sites. An intercomparison of AERONET and MODIS AOD annual correlations revealed that neither an interannual long‐term trend may be observed nor that correlations differ significantly owing to different overpass times of TERRA and AQUA. Individual anisotropic representativity areas for each AERONET site were derived by correlating daily AOD of each site for all years with available individual MODIS AOD pixels gridded to 1° × 1°. Results showed that for many sites a good AOD correlation (R 2 > 0.5) persists for large, often strongly anisotropic, areas. The climatological areas of common regional aerosol regimes often extend over several hundreds of kilometers, sometimes far across national boundaries. As a practical application, these strongly inhomogeneous and anisotropic areas of influence are being implemented in the tropospheric aerosol data assimilation system of the Coupled Chemistry‐Aerosol‐Tracer Transport Model coupled to the Brazilian Regional Atmospheric Modeling System (CCATT‐BRAMS) at the Brazilian National Institute for Space Research (INPE). This new information promises an improved exploitation of local site sampling and, thus, chemical weather forecast.

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  • The association between AERONET data and AOD from MODIS is significant during biomass burning seasons in South America, with R2 higher than 0.85 for most AERONET stations in Brazil.

    “This association between AERONET data and AOD from MODIS is significant during the biomass burning seasons in South America, which the R2 (coefficient of determination) for most of the AERONET stations in Brazil was higher than 0.8538.”

    From Health impacts of wildfire-related air pollution in Brazil: a nationwide study of more than 2 million hospital admissions between 2008 and 2018 (2021) · cites this paper as [38]

    Section 5.2 reports strong AERONET–MODIS AOD correlations during the August–October burning seasons and says this pattern applies to the biomass-burning-influenced sites. It gives R² > 0.7, however, not R² > 0.85 for most Brazilian stations; the Conclusions likewise report generally good correlations at R² > 0.7. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

  • AERONET observation sites in South America have significant representativity for AOD measured by MODIS.

    “Other studies have shown that AERONET observation sites in South America has significant representativity for AOD measured by MODIS, aboard TERRA and AQUA satellites38.”

    From Health impacts of wildfire-related air pollution in Brazil: a nationwide study of more than 2 million hospital admissions between 2008 and 2018 (2021) · cites this paper as [38]

    Section 5.3 reports moderate to strong correlations between AERONET and MODIS AOD for most studied sites and concludes that AERONET observations characterize a significant area of South America. The citing sentence omits the study’s biomass-burning-season focus and generalizes to AERONET sites in South America, although Section 5.3 excludes three sites from the regional analysis because their data were insufficient. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

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  1. 21562202d, 2009, D13, Downloaded from https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2008JD010369, Wiley Online Library on [13/08/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
  2. D13301 21562202d, 2009, D13, Downloaded from https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2008JD010369, Wiley Online Library on [13/08/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
  3. D13301 21562202d, 2009, D13, Downloaded from https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2008JD010369, Wiley Online Library on [13/08/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
  4. D13301 21562202d, 2009, D13, Downloaded from https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2008JD010369, Wiley Online Library on [13/08/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
  5. D13301 21562202d, 2009, D13, Downloaded from https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2008JD010369, Wiley Online Library on [13/08/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
  6. D13301 21562202d, 2009, D13, Downloaded from https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2008JD010369, Wiley Online Library on [13/08/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
  7. Abdou, W. A., D. J. Diner, J. V. Martonchick, C. J. Bruegge, R. A. Kahn, B. J. Gaitley, and K. A. Crean (2005), Comparison of coincident Multi- angle Imaging Spectroradiometer and Moderate Resolution Imaging Spectroradiometer aerosol optical depths over land and ocean scenes containing Aerosol Robotic Network sites, J. Geophys. Res., 110, D10S07, doi:10.1029/2004JD004693. · DOI
  8. Andreae, M. O., et al. (2001), Transport of biomass burning smoke to the upper troposphere by deep convection in the equatorial region, Geophys. Res. Lett., 28, 951 -954, doi:10.1029/2000GL012391. · DOI
  9. Artaxo, P., V. G. Gatti, A. M. C. Leal, K. M. Longo, S. R. de Freitas, L. L. Lara, T. M. Pauliquevis, A. S. Proco ´pio, and L. V. Rizzo (2005), Quı ´mica atmos- fe ´rica na Amazo ˆnia: A floresta e as emisso ˜es de queimadas controlando a composic ¸a ˜o da atmosfera amazo ˆnica, Acta Amazon., 35(2), 191 -208, doi:10.1590/S0044-59672005000200008. · DOI
  10. Artaxo, P., P. H. Oliveira, L. L. Lara, T. M. Pauliquevis, L. V. Rizzo, C. Pires, M. A. Paixa ˜o, K. M. Longo, S. Freitas, and A. L. Correia (2006), Efeitos clima ´ticos de partı ´culas de aerosso ´is bioge ˆnicos e emitidos em queimadas na Amazo ˆnia, Rev. Bras. Meteorol., 21(3), 168 -189.
  11. Christopher, S. A., J. Chou, J. Zhang, X. Li, and R. M. Welch (2000), Shortwave direct radiative forcing of biomass burning aerosols estimated from VIRS and CERES, Geophys. Res. Lett., 27, 2197 -2200, doi:10.1029/1999GL010923. · DOI
  12. Chu, D. A., Y. J. Kaufman, G. Zibordi, J. D. Chern, J. Mao, C. Li, and B. N. Holben (2003), Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectrora- diometer (MODIS), J. Geophys. Res., 108(D21), 4661, doi:10.1029/ 2002JD003179. · DOI
  13. Correia, A. L., A. D. Castanho, J. V. Martins, K. M. Longo, M. A. Yamasoe, and P. Artaxo (2006), Infere ˆncia de Aerosso ´is, in O sensor MODIS e suas aplicac ¸o ˜es ambientais no Brasil, pp. 297 -314, Bookimage, Sa ˜o Jose ´dos Campos, Brazil.
  14. de Almeida Castanho, A. D., J. Vanderlei Martins, and P. Artaxo (2008), MODIS Aerosol Optical Depth retrievals with high spatial resolution over an urban area using the critical reflectance, J. Geophys. Res., 113, D02201, doi:10.1029/2007JD008751. · DOI
  15. Dubovik, O., B. N. Holben, T. F. Eck, A. Smirnov, Y. J. Kaufman, M. D. King, D. Tanre, and I. Slutsker (2002), Variability of absorption and optical properties of key aerosol types observed in worldwide locations, J. Atmos. Sci., 59, 590 -608, doi:10.1175/1520-0469 (2002)059<0590:VOAAOP>2.0.CO;2. · DOI
  16. Forster, P., et al. (2007), Changes in atmospheric constituents and in radia- tive forcing, in Climate Change 2007: The Physical Science Basis. Con- tribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by S. Solomon et al., pp. 180 -185, Cambridge Univ. Press, New York.
  17. Hansen, J., M. Sato, and R. Ruedy (1997), Radiative forcing and climate response, J. Geophys. Res., 102, 6831 -6864, doi:10.1029/96JD03436. · DOI · Paper page
  18. Hauser, A., D. Oesch, and N. Foppa (2005), Aerosol optical depth over land: Comparing AERONET, AVHRR and MODIS, Geophys. Res. Lett., 32, L17816, doi:10.1029/2005GL023579. · DOI
  19. Holben, B. N., et al. (1998), AERONET a federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1 -16, doi:10.1016/S0034-4257(98)00031-5. · DOI
  20. Ichoku, C., L. A. Remer, and T. F. Eck (2005), Quantitative evaluation and intercomparison of morning and afternoon Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol measurements from Terra and Aqua, J. Geophys. Res., 110, D10S03, doi:10.1029/2004JD004987. · DOI
  21. Kaufman, Y. (1995), Remote sensing of direct and indirect aerosol forcing, in Aerosol Forcing of Climate, edited by R. J. Charlson and J. Heintzenberg, pp. 297 -332, John Wiley, New York.
  22. Kaufman, Y. J., and R. S. Fraser (1997), The effect of smoke particles on clouds and climate forcing, Science, 277, 1636 -1639, doi:10.1126/ science.277.5332.1636. · DOI
  23. Kinne, S., et al. (2003), Monthly averages of aerosol properties: A global comparison among models, satellite data, and AERONET ground data, J. Geophys. Res., 108(D20), 4634, doi:10.1029/2001JD001253. · DOI
  24. Koren, I., Y. J. Kaufman, L. A. Remer, and J. V. Martins (2004), Measure- ment of the effect of Amazon smoke on inhibition of cloud formation, Science, 303, 1342 -1345, doi:10.1126/science.1089424. · DOI
  25. Kovacs, T. (2006), Comparing MODIS and AERONET aerosol optical depth at varying separation distances to assess ground-based validation strategies for spaceborne lidar, J. Geophys. Res., 111, D24203, doi:10.1029/2006JD007349. · DOI
  26. Levy, R. C., L. A. Remer, and O. Dubovik (2007a), Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradi- ometer aerosol retrieval over land, J. Geophys. Res., 112, D13210, doi:10.1029/2006JD007815. · DOI
  27. Levy, R. C., L. A. Remer, S. Mattoo, E. F. Vermote, and Y. J. Kaufman (2007b), Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance, J. Geophys. Res., 112, D13211, doi:10.1029/2006JD007811. · DOI
  28. Li, Z., F. Niu, K.-H. Lee, J. Xin, W.-M. Hao, B. Nordgren, Y. Wang, and P. Wang (2007), Validation and understanding of Moderate Resolution Imaging Spectroradiometer aerosol products (C5) using ground-based measurements from the handheld Sun photometer network in China, J. Geophys. Res., 112, D22S07, doi:10.1029/2007JD008479. · DOI
  29. Lohmann, U., and J. Feichter (2005), Global indirect aerosol effects: A review, Atmos. Chem. Phys., 5, 715 -737.
  30. Misra, A., A. Jayaraman, and D. Ganguly (2008), Validation of MODIS derived aerosol optical depth over western India, J. Geophys. Res., 113, D04203, doi:10.1029/2007JD009075. · DOI
  31. Prins, E., J. M. Feltz, W. P. Menzel, and D. E. Ward (1998), An overview of GOES-8 diurnal fire and smoke results for SCAR-B and 1995 fire season in South America, J. Geophys. Res., 103, 31,821 -31,835, doi:10.1029/ 98JD01720. · DOI
  32. Remer, L. A., et al. (2005), The MODIS aerosol algorithm, products and validation, J. Atmos. Sci., 62, 947 -973, doi:10.1175/JAS3385. · DOI
  33. Satyamurty, P., C. Nobre, and P. Silva Dias (1998), South America, in Meteorology of the Southern Hemisphere, Meteorol. Monogr., 27(49), edited by D. Karoly and D. Vincent, pp. 119 -139, Am. Meteorol. Soc., Boston.
  34. D13301 21562202d, 2009, D13, Downloaded from https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2008JD010369, Wiley Online Library on [13/08/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
  35. Schafer, J. S., T. F. Eck, B. N. Holben, P. Artaxo, and A. F. Duarte (2008), Characterization of the optical properties of atmospheric aerosols in Amazo ˆnia from long-term AERONET monitoring (1993 -1995 and 1999 -2006), J. Geophys. Res., 113, D04204, doi:10.1029/2007JD009319. · DOI
  36. Seinfeld, J. H., and S. N. Pandis (1998), Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, John Wiley, New York.
  37. Twomey, S. (1977), The influence of pollution on the shortwave albedo of clouds, J. Atmos. Sci., 34, 1149 -1152, doi:10.1175/1520-0469 (1977)034<1149:TIOPOT>2.0.CO;2. · DOI
  38. Walko, R., et al. (2000), Coupled atmosphere-biophysics-hydrology models for environmental modeling, J. Appl. Meteorol., 39(6), 931 -944, doi:10.1175/1520-0450(2000)039<0931:CABHMF>2.0.CO;2. · DOI

Cited by

Sorted by citations

Authors
Hoelzemann, J. J., Longo, K. M., Fonseca, R. M., do Rosário, N. M. E., Elbern, H., Freitas, S. R., & Pires, C.
Affiliations
  • Instituto Nacional de Pesquisas Espaciais (BR)
  • Institute of Astronomy, Geophysics and Atmospheric Science University of São Paulo São Paulo Brazil
  • Forschungszentrum Jülich (DE)
ORCID
Venue
Journal of Geophysical Research: Atmospheres
Publisher
American Geophysical Union (AGU)
Published
2009-07-03
Volume
114
Issue
D13
ISSN
0148-0227 (ISSN-L)
DOI
10.1029/2008jd010369
OpenAlex
W2031200635
Cited by
64
References
1
Citations by year
2026: 2 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 6 · 2020: 5 · 2019: 4 · 2018: 4 · 2017: 5 · 2016: 2 · 2015: 3 · 2014: 1 · 2013: 4 · 2012: 4
FWCI
2.66
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Geophysical Research Atmospheres (publishedVersion, public-domain)
  • Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico) (publishedVersion)
  • Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (submittedVersion, public-domain)
  • JuSER (Forschungszentrum Jülich) (submittedVersion, other-oa)
  • Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (submittedVersion)
Funders
  • National Science Foundation (0452325)
  • National Aeronautics and Space Administration
  • Fundação de Amparo à Pesquisa do Estado de São Paulo
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
Keywords
aerosol optical depth, AERONET, MODIS, biomass burning, South America, carbonaceous aerosols, urban aerosols, aerosol data assimilation, chemical weather forecasting, dry season fires

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