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Modeling Spatiotemporal Mismatch for Aerosol Profiles

In: Quantitative Methods in Environmental and Climate Research

Author

Listed:
  • Ilia Negri

    (University of Bergamo, Department of Management Information and Production Engineering)

  • Alessandro Fassò

    (University of Bergamo, Department of Management Information and Production Engineering)

  • Lucia Mona

    (Consiglio Nazionale delle Ricerche, (CNR), Istituto di Metodologie per l’Analisi Ambientale (IMAA))

  • Nikolaos Papagiannopoulos

    (Consiglio Nazionale delle Ricerche, (CNR), Istituto di Metodologie per l’Analisi Ambientale (IMAA))

  • Fabio Madonna

    (Consiglio Nazionale delle Ricerche, (CNR), Istituto di Metodologie per l’Analisi Ambientale (IMAA))

Abstract

The horizontal smoothing impact on the uncertainty term between the satellite and the ground measurement of the aerosol layers is investigated. Nine different horizontal averaging schemes for the CALIPSO aerosol profiles are used in order to investigate the influence of horizontal smoothing of CALIPSO data when compared against the EARLINET data.

Suggested Citation

  • Ilia Negri & Alessandro Fassò & Lucia Mona & Nikolaos Papagiannopoulos & Fabio Madonna, 2018. "Modeling Spatiotemporal Mismatch for Aerosol Profiles," Springer Books, in: Michela Cameletti & Francesco Finazzi (ed.), Quantitative Methods in Environmental and Climate Research, pages 63-83, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-01584-8_4
    DOI: 10.1007/978-3-030-01584-8_4
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