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Modeling Spatiotemporal Mismatch for Aerosol Profiles

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Quantitative Methods in Environmental and Climate Research

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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.

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Acknowledgements

This research is partially funded by GAIA-CLIM, the project funded from the European Union’s Horizon 2020 research and innovation program under grant agreement No 640276.

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Authors and Affiliations

  1. Department of Management Information and Production Engineering, University of Bergamo, Bergamo, Italy

    Ilia Negri & Alessandro Fassò

  2. Istituto di Metodologie per l’Analisi Ambientale (IMAA), Consiglio Nazionale delle Ricerche, (CNR), Tito Scalo, PZ, Italy

    Lucia Mona, Nikolaos Papagiannopoulos & Fabio Madonna

Authors
  1. Ilia Negri
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  2. Alessandro Fassò
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  3. Lucia Mona
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  4. Nikolaos Papagiannopoulos
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  5. Fabio Madonna
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Corresponding author

Correspondence to Ilia Negri .

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Editors and Affiliations

  1. Department of Management, Economics and Quantitative Methods, University of Bergamo, Bergamo, Italy

    Michela Cameletti

  2. Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, Bergamo, Italy

    Francesco Finazzi

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Negri, I., Fassò, A., Mona, L., Papagiannopoulos, N., Madonna, F. (2018). Modeling Spatiotemporal Mismatch for Aerosol Profiles. In: Cameletti, M., Finazzi, F. (eds) Quantitative Methods in Environmental and Climate Research. Springer, Cham. https://doi.org/10.1007/978-3-030-01584-8_4

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