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Modelling spatio-temporal mismatch for Aerosol profiles

Capitolo di libro
Data di Pubblicazione:
2018
Citazione:
(2018). Modelling spatio-temporal mismatch for Aerosol profiles . Retrieved from http://hdl.handle.net/10446/131781
Abstract:
In this chapter 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. In a first analysis we search for the best horizontal smoothing for CALIOP considering the whole column of aerosol from the ground to the free troposphere, in 5 different sites. To take into account the differences in the vertical dimension and to exploit the vertical profiling capability of both EARLINET and CALIPSO, we split the atmosphere into three zones: as representative of local aerosol conditions, the middle troposphere with transport of aerosols and free troposphere. In a second step, we investigate the impact of horizontal smoothing in the three vertical zone.
Tipologia CRIS:
1.2.01 Contributi in volume (Capitoli o Saggi) - Book Chapters/Essays
Elenco autori:
Negri, Ilia; Fasso', Alessandro; Mona, Lucia; Papagiannopoulos, Nikolaos; Madonna, Fabio
Autori di Ateneo:
FASSO' Alessandro
Link alla scheda completa:
https://aisberg.unibg.it/handle/10446/131781
Titolo del libro:
Quantitative Methods in Environmental and Climate Research
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