Assessment of four methods to estimate surface UV radiation using satellite data, by comparison with ground measurements from four stations in Europe

Research output: Contribution to journal › Article › Research › peer review

Authors

  • Antti Arola
  • S. Kalliskota
  • P. N. Den Outer
  • K. Edvardsen
  • G. Hansen
  • T. Koskela
  • T. J. Martin
  • J. Matthijsen
  • R. Meerkoetter
  • P. Peeters
  • G. Seckmeyer
  • P. C. Simon
  • H. Slaper
  • P. Taalas
  • J. Verdebout

Research Organisations

External Research Organisations

  • Finnish Meteorological Institute
  • National Institute of Public Health and the Environment
  • Norwegian Institute for Air Research
  • Karlsruhe Institute of Technology (KIT)
  • University of Graz
  • German Aerospace Center (DLR)
  • Belgian Institute for Space Aeronomy
  • European Commission Joint Research Centre (JRC)
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Details

Original languageEnglish
Pages (from-to)XXXI-XXXII
JournalJournal of Geophysical Research Atmospheres
Volume107
Issue number16
Publication statusPublished - 2002

Abstract

[1] Four different satellite-UV mapping methods are assessed by comparing them against ground-based measurements. The study includes most of the variability found in geographical, meteorological and atmospheric conditions. Three of the methods did not show any significant systematic bias, except during snow cover. The mean difference (bias) in daily doses for the Rijksinstituut voor Volksgezondheid en Milieu (RIVM) and Joint Research Centre (JRC) methods was found to be less than 10% with a RMS difference of the order of 30%. The Deutsches Zentrum für Luft- und Raumfahrt (DLR) method was assessed for a few selected months, and the accuracy was similar to the RIVM and JRC methods. It was additionally used to demonstrate how spatial averaging of high-resolution cloud data improves the estimation of UV daily doses. For the Institut d'Aéronomie Spatiale de Belgique (IASB) method the differences were somewhat higher, because of their original cloud algorithm. The mean difference in daily doses for IASB was about 30% or more, depending on the station, while the RMS difference was about 60%. The cloud algorithm of IASB has been replaced recently, and as a result the accuracy of the IASB method has improved. Evidence is found that further research and development should focus on the improvement of the cloud parameterization. Estimation of daily exposures is likely to be improved if additional time-resolved cloudiness information is available for the satellite-based methods. It is also demonstrated that further development work should be carried out on the treatment of albedo of snow-covered surfaces. INDEX TERMS: 3360 Meteorology and Atmospheric Dynamics: Remote sensing; 3359 Meteorology and Atmospheric Dynamics: Radiative processes; 3367 Meteorology and Atmospheric Dynamics: Theoretical modeling;.

Keywords

    Satellite ultraviolet estimation, Ultraviolet radiation, Ultraviolet radiation measurements

ASJC Scopus subject areas

Cite this

Assessment of four methods to estimate surface UV radiation using satellite data, by comparison with ground measurements from four stations in Europe. / Arola, Antti; Kalliskota, S.; Den Outer, P. N. et al.
In: Journal of Geophysical Research Atmospheres, Vol. 107, No. 16, 2002, p. XXXI-XXXII.

Research output: Contribution to journal › Article › Research › peer review

Arola, A, Kalliskota, S, Den Outer, PN, Edvardsen, K, Hansen, G, Koskela, T, Martin, TJ, Matthijsen, J, Meerkoetter, R, Peeters, P, Seckmeyer, G, Simon, PC, Slaper, H, Taalas, P & Verdebout, J 2002, 'Assessment of four methods to estimate surface UV radiation using satellite data, by comparison with ground measurements from four stations in Europe', Journal of Geophysical Research Atmospheres, vol. 107, no. 16, pp. XXXI-XXXII.
Arola, A., Kalliskota, S., Den Outer, P. N., Edvardsen, K., Hansen, G., Koskela, T., Martin, T. J., Matthijsen, J., Meerkoetter, R., Peeters, P., Seckmeyer, G., Simon, P. C., Slaper, H., Taalas, P., & Verdebout, J. (2002). Assessment of four methods to estimate surface UV radiation using satellite data, by comparison with ground measurements from four stations in Europe. Journal of Geophysical Research Atmospheres, 107(16), XXXI-XXXII.
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title = "Assessment of four methods to estimate surface UV radiation using satellite data, by comparison with ground measurements from four stations in Europe",
abstract = "[1] Four different satellite-UV mapping methods are assessed by comparing them against ground-based measurements. The study includes most of the variability found in geographical, meteorological and atmospheric conditions. Three of the methods did not show any significant systematic bias, except during snow cover. The mean difference (bias) in daily doses for the Rijksinstituut voor Volksgezondheid en Milieu (RIVM) and Joint Research Centre (JRC) methods was found to be less than 10% with a RMS difference of the order of 30%. The Deutsches Zentrum f{\"u}r Luft- und Raumfahrt (DLR) method was assessed for a few selected months, and the accuracy was similar to the RIVM and JRC methods. It was additionally used to demonstrate how spatial averaging of high-resolution cloud data improves the estimation of UV daily doses. For the Institut d'A{\'e}ronomie Spatiale de Belgique (IASB) method the differences were somewhat higher, because of their original cloud algorithm. The mean difference in daily doses for IASB was about 30% or more, depending on the station, while the RMS difference was about 60%. The cloud algorithm of IASB has been replaced recently, and as a result the accuracy of the IASB method has improved. Evidence is found that further research and development should focus on the improvement of the cloud parameterization. Estimation of daily exposures is likely to be improved if additional time-resolved cloudiness information is available for the satellite-based methods. It is also demonstrated that further development work should be carried out on the treatment of albedo of snow-covered surfaces. INDEX TERMS: 3360 Meteorology and Atmospheric Dynamics: Remote sensing; 3359 Meteorology and Atmospheric Dynamics: Radiative processes; 3367 Meteorology and Atmospheric Dynamics: Theoretical modeling;.",
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Download

TY - JOUR

T1 - Assessment of four methods to estimate surface UV radiation using satellite data, by comparison with ground measurements from four stations in Europe

AU - Arola, Antti

AU - Kalliskota, S.

AU - Den Outer, P. N.

AU - Edvardsen, K.

AU - Hansen, G.

AU - Koskela, T.

AU - Martin, T. J.

AU - Matthijsen, J.

AU - Meerkoetter, R.

AU - Peeters, P.

AU - Seckmeyer, G.

AU - Simon, P. C.

AU - Slaper, H.

AU - Taalas, P.

AU - Verdebout, J.

N1 - Copyright: Copyright 2015 Elsevier B.V., All rights reserved.

PY - 2002

Y1 - 2002

N2 - [1] Four different satellite-UV mapping methods are assessed by comparing them against ground-based measurements. The study includes most of the variability found in geographical, meteorological and atmospheric conditions. Three of the methods did not show any significant systematic bias, except during snow cover. The mean difference (bias) in daily doses for the Rijksinstituut voor Volksgezondheid en Milieu (RIVM) and Joint Research Centre (JRC) methods was found to be less than 10% with a RMS difference of the order of 30%. The Deutsches Zentrum für Luft- und Raumfahrt (DLR) method was assessed for a few selected months, and the accuracy was similar to the RIVM and JRC methods. It was additionally used to demonstrate how spatial averaging of high-resolution cloud data improves the estimation of UV daily doses. For the Institut d'Aéronomie Spatiale de Belgique (IASB) method the differences were somewhat higher, because of their original cloud algorithm. The mean difference in daily doses for IASB was about 30% or more, depending on the station, while the RMS difference was about 60%. The cloud algorithm of IASB has been replaced recently, and as a result the accuracy of the IASB method has improved. Evidence is found that further research and development should focus on the improvement of the cloud parameterization. Estimation of daily exposures is likely to be improved if additional time-resolved cloudiness information is available for the satellite-based methods. It is also demonstrated that further development work should be carried out on the treatment of albedo of snow-covered surfaces. INDEX TERMS: 3360 Meteorology and Atmospheric Dynamics: Remote sensing; 3359 Meteorology and Atmospheric Dynamics: Radiative processes; 3367 Meteorology and Atmospheric Dynamics: Theoretical modeling;.

AB - [1] Four different satellite-UV mapping methods are assessed by comparing them against ground-based measurements. The study includes most of the variability found in geographical, meteorological and atmospheric conditions. Three of the methods did not show any significant systematic bias, except during snow cover. The mean difference (bias) in daily doses for the Rijksinstituut voor Volksgezondheid en Milieu (RIVM) and Joint Research Centre (JRC) methods was found to be less than 10% with a RMS difference of the order of 30%. The Deutsches Zentrum für Luft- und Raumfahrt (DLR) method was assessed for a few selected months, and the accuracy was similar to the RIVM and JRC methods. It was additionally used to demonstrate how spatial averaging of high-resolution cloud data improves the estimation of UV daily doses. For the Institut d'Aéronomie Spatiale de Belgique (IASB) method the differences were somewhat higher, because of their original cloud algorithm. The mean difference in daily doses for IASB was about 30% or more, depending on the station, while the RMS difference was about 60%. The cloud algorithm of IASB has been replaced recently, and as a result the accuracy of the IASB method has improved. Evidence is found that further research and development should focus on the improvement of the cloud parameterization. Estimation of daily exposures is likely to be improved if additional time-resolved cloudiness information is available for the satellite-based methods. It is also demonstrated that further development work should be carried out on the treatment of albedo of snow-covered surfaces. INDEX TERMS: 3360 Meteorology and Atmospheric Dynamics: Remote sensing; 3359 Meteorology and Atmospheric Dynamics: Radiative processes; 3367 Meteorology and Atmospheric Dynamics: Theoretical modeling;.

KW - Satellite ultraviolet estimation

KW - Ultraviolet radiation

KW - Ultraviolet radiation measurements

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AN - SCOPUS:36448956088

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