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Spaceborne observations of low surface aerosol concentrations in the Stockholm region Cover

Spaceborne observations of low surface aerosol concentrations in the Stockholm region

Open Access
|Jan 2016

References

  1. Al-Saadi J. , Szykman J. , Pierce R. B. , Kittaka C. , Neil D. , co-authors . Improving national air quality forecasts with satellite aerosol observations . Bull. Am. Meteorol. Soc . 2005 ; 86 : 1249 1261 . DOI: http://dx.doi.org/10.1175/BAMS-86-9-1249 .
  2. Anderson J. O. , Thundiyil J. G. , Stolbach A . Clearing the air: a review of the effects of particulate matter air pollution on human health . J. Med. Toxicol . 2012 ; 8 : 166 175 .
  3. Ångström A . The parameters of atmospheric turbidity . Tellus . 1964 ; 16 : 64 75 .
  4. Areskoug H . Bestämning av PM10 – En jämförelse av de vanligaste mätmetoderna använda i Sverige och den europeiska referensmetoden [Measurements of PM10 – A Comparison of the Most Common Methods Used in Sweden with the European Reference Method] . 2007 ; Stockholm, Sweden : Stockholm University (in Swedish), . ITM report 168 .
  5. Baars H. , Kanitz T. , Engelmann R. , Althausen D. , Heese B. , co-authors . An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling . Atmos. Chem. Phys . 2016 ; 16 : 5111 5137 . DOI: http://dx.doi.org/10.5194/acp-16-5111-2016 .
  6. Boys B. L. , Martin R. V. , Van Donkelaar A. , MacDonell R. J. , Hsu N. C. , co-authors . Fifteen-year global time series of satellite-derived fine particulate matter . Environ. Sci. Technol . 2014 ; 48 : 11109 11118 . DOI: http://dx.doi.org/10.1021/es502113p .
  7. CALIPSO Data User's Guide . 2015 . Online at: http://www-calipso.larc.nasa.gov/resources/calipso_users_guide/index.php .
  8. Chudnovsky A. , Tang C. , Lyapustin A. , Wang Y. , Schwartz J. , co-authors . A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions . Atmos. Chem. Phys . 2013 ; 13 : 10907 10917 . DOI: http://dx.doi.org/10.5194/acp-13-10907-2013 .
  9. Christopher S. A. , Gupta P . Satellite remote sensing of particulate matter air quality: the cloud-cover problem . J. Air Waste Manag. Assoc . 2010 ; 60 : 596 602 . DOI: http://dx.doi.org/10.3155/1047-3289.60.5.596 .
  10. Crumeyrolle S. , Chen G. , Ziemba L. , Beyersdorf A. , Thornhill L. , co-authors . Factors that influence surface PM2.5 values inferred from satellite observations: perspective gained for the US Baltimore/Washington metropolitan area during DISCOVER-AQ . Atmos. Chem. Phys . 2014 ; 14 : 2139 2153 . DOI: http://dx.doi.org/10.5194/acp-14-2139-2014 .
  11. DiNicolantonio W. , Cacciari A. , Tomasi C . Particulate matter at surface: Northern Italy monitoring based on satellite remote sensing, meteorological fields, and in-situ Samplings . IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens . 2009 ; 2 : 284 292 . DOI: http://dx.doi.org/10.1109/JSTARS.2009.2033948 .
  12. Engel-Cox J. A. , Holloman C. H. , Coutant B. W. , Hoff R. M . Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality . Atmos. Environ . 2004 ; 38 : 2495 2509 .
  13. Gidhagen L. , Johansson C. , Langner J. , Olivares G . Simulation of NOx and ultrafine particles in a street canyon in Stockholm, Sweden . Atmos. Environ . 2004 ; 40 : 2029 2044 . DOI: http://dx.doi.org/10.1016/j.atmosenv.2004.02.014 .
  14. Glantz P. , Kokhanovsky A. , Von Hoyningen-Huene W. , Johansson C . Estimating PM2.5 over southern Sweden using space-borne optical measurements . Atmos. Environ . 2009 ; 43 : 5838 5846 . DOI: http://dx.doi.org/10.1016/j.atmosenv.2009.05.017 .
  15. Glantz P. , Tesche M . Assessment of two aerosol optical thickness retrieval algorithms applied to MODIS Aqua and Terra measurements in Europe . Atmos. Meas. Tech . 2012 ; 5 : 1727 1740 . DOI: http://dx.doi.org/10.5194/amt-5-1727-2012 .
  16. Hoff R. M. , Christopher S. A . Remote sensing of particulate pollution from space: have we reached the promised land? . J. Air Waste Manag. Assoc . 2009 ; 59 : 645 675 . DOI: http://dx.doi.org/10.3155/1047-3289.59.6.645 .
  17. Holben B. N. , Eck T. F. , Slutsker I. , Tanré D. , Buis J. P. , co-authors . AERONET – a federated instrument network and data archive for aerosol characterization . Rem. Sens. Environ . 1998 ; 66 : 1 16 .
  18. Hutchison K. D . Applications of MODIS satellite data and products for monitoring air quality in the state of Texas . Atmos. Environ . 2003 ; 37 : 2403 2412 .
  19. Johansson C. , Norman M. , Gidhagen L . Spatial & temporal variations of PM10 and particle number concentrations in urban air . Environ. Monit. Assess . 2007 ; 127 : 477 487 . DOI: http://dx.doi.org/10.1007/s10661-006-9296-4 .
  20. Kacenelenbogen M. , Léon J.-F. , Chiapello I. , Tanré D . Characterization of aerosol pollution events in France using groundbased and POLDER-2 satellite data . Atmos. Chem. Phys . 2006 ; 6 : 4843 4849 . DOI: http://dx.doi.org/10.5194/acp-6-4843–2006 .
  21. Künzli N. , Kaiser R. , Medina S. , Studnicka M. , Chanel O. , co-authors . Public-health impact of outdoor and traffic-related air pollution: a European assessment . Lancet . 2000 ; 356 : 795 801 . DOI: http://dx.doi.org/10.1016/S0140-6736(00)02653-2 .
  22. Levy R. C. , Mattoo S. , Munchak L. A. , Remer L. A. , Sayer A. M. , co-authors . The collection 6 MODIS aerosol products over land and ocean . Atmos. Meas. Tech . 2013 ; 6 : 2989 3034 . DOI: http://dx.doi.org/10.5194/amt-6-2989-2013 .
  23. Li J. , Carlson B. E. , Lacis A. A . How well do satellite AOD observations represent the spatial and temporal variability of PM2.5 concentration for the United States? . Atmos. Environ . 2015 ; 102 : 260 273 . DOI: http://dx.doi.org/10.1016/j.atmosenv.2014.12.010 .
  24. Liu Y. , Sarnat J. A. , Kilaru V. , Jacob D. J. , Koutrakis P . Estimating ground-level PM 2.5 in the eastern United States using satellite remote sensing . Environ. Sci. Technol . 2005 ; 39 : 3269 3278 . DOI: http://dx.doi.org/10.1021/es049352m .
  25. Livingston J. M. , Redemann J. , Shinozuka Y. , Johnson R. , Russell P. B. , co-authors . Comparison of MODIS 3 km and 10 km resolution aerosol optical depth retrievals over land with airborne sunphotometer measurements during ARCTAS summer 2008 . Atmos. Chem. Phys . 2014 ; 14 : 2015 2038 . DOI: http://dx.doi.org/10.5194/acp-14-2015-2014 .
  26. Munchak L. A. , Levy R. C. , Mattoo S. , Remer L. A. , Holben B. N. , co-authors . MODIS 3 km aerosol product: applications over land in an urban/suburban region . Atmos. Meas. Tech . 2013 ; 6 : 1747 1759 . DOI: http://dx.doi.org/10.5194/amt-6-1747-2013 .
  27. Paciorek C. J. , Liu Y . Limitations of remotely sensed aerosol as a spatial proxy for fine particulate matter . Environ. Health Perspect . 2009 ; 117 : 904 909 . DOI: http://dx.doi.org/10.1289/ehp.0800360 .
  28. Patashnick H. , Rupprecht E. G . Continuous PM-10 measurements using the tapered element oscillating microbalance . J. Air Waste Manag. Assoc . 1991 ; 41 : 1079 1083 .
  29. Pelletier B. , Santer R. , Vidot J . Retrieving of particulate matter from optical measurements: a semiparametric approach . J. Geophys. Res . 2007. ; 112 , D06208. DOI: http://dx.doi.org/10.1029/2005JD006737 .
  30. Remer L. A. , Kaufman Y. J. , Tanré D. , Mattoo S. , Chu D. A. , co-authors . The MODIS aerosol algorithm, products, and validation . J. Atmos. Sci . 2005 ; 62 , 947–973. DOI: http://dx.doi.org/10.1175/JAS3385.1 .
  31. Remer L. A. , Kleidman R. G. , Levy R. C. , Kaufman Y. J. , Tanré D. , co-authors . Global aerosol climatology from the MODIS satellite sensors . J. Geophys. Res . 2008 ; 113 , D14S07. DOI: http://dx.doi.org/10.1029/2007JD009661 .
  32. Remer L. A. , Mattoo S. , Levy R. C. , Munchak L. A . MODIS 3 km aerosol product: algorithm and global perspective . Atmos. Meas. Tech . 2013 ; 6 : 1829 1844 . DOI: http://dx.doi.org/10.5194/amt-6-1829-2013 .
  33. Schaap M. , Apituley A. , Timmermans R. M. A. , Koelemeijer R. B. A. , de Leeuw G . Exploring the relation between aerosol optical depth and PM2.5 at Cabauw, the Netherlands . Atmos. Chem. Phys . 2009 ; 9 : 909 925 . DOI: http://dx.doi.org/10.5194/acp-9-909-2009 .
  34. Snider G. , Weagle C. L. , Martin R. V. , van Donkelaar A. , Conrad K. , co-authors . SPARTAN: a global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications . Atmos. Meas. Tech . 2015 ; 8 : 505 521 . DOI: http://dx.doi.org/10.5194/amt-8-505-2015 .
  35. Tunved P. , Hansson H.-C. , Kulmala M. , Aalto P. , Viisanen Y. , co-authors . One year boundary layer aerosol size distribution data from five Nordic background stations . Atmos. Chem. Phys . 2003 ; 3 : 2183 2205 . DOI: http://dx.doi.org/10.5194/acp-3-2183-2003 .
  36. Van Donkelaar A. , Martin R. V. , Brauer M. , Kahn R. , Levy R. , co-authors . Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application . Environ. Health Perspect . 2010 ; 118 : 847 855 . DOI: http://dx.doi.org/10.1289/ehp.0901623 .
  37. Van Donkelaar A. , Martin R. V. , Park R. J . Estimating ground-level PM2.5 with aerosol optical depth determined from satellite remote sensing . J. Geophys. Res . 2006 ; 111 , D21201. DOI: http://dx.doi.org/10.1029/2005JD006996 .
  38. Wang J. , Christopher S. A . Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass: implications for air quality studies . Geophys. Res. Lett . 2003 ; 30 , 2095. DOI: http://dx.doi.org/10.1029/2003GL018174 .
  39. Winker D. M. , Vaughan M. A. , Omar A. , Hu Y. , Powell K. A. , co-authors . Overview of the CALIPSO Mission and CALIOP data processing algorithms . J. Atmos. Oceanic Technol . 2009 ; 26 : 2310 2323 .
  40. World Health Organization (WHO) . WHO Air Quality Guidelines for Particulate Matter, Ozone, Nitrogen Dioxide and Sulfur Dioxide . 2005 ; Geneva, Switzerland : WHO Press, . Global update 2005. Summary of risk assessment .
  41. Zhang H. , Hoff R. M. , Engel-Cox J. A . The relation between moderate resolution imaging spectroradiometer (MODIS) aerosol optical depth and PM2.5 over the United States: a geographical comparison by U.S. Environmental Protection Agency regions . J. Air Waste Manag. Assoc . 2009 ; 59 : 1358 1369 . DOI: http://dx.doi.org/10.3155/1047-3289.59.11.1358 .
Language: English
Page range: 28951 - 28951
Submitted on: Jun 25, 2015
Accepted on: Aug 12, 2016
Published on: Jan 1, 2016
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2016 Matthias Tesche, Paul Glantz, Christer Johansson, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.