Application of the Complete Data Fusion algorithm to the ozone profiles measured by geostationary and low-Earth-orbit satellites: a feasibility study

The new platforms for Earth observation from space are characterized by measurements made at great spatial and temporal resolutions. While this abundance of information makes it possible to detect and study localized phenomena, it may be difficult to manage this large amount of data for the study of...

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Veröffentlicht in:	Atmospheric measurement techniques 2021-03, Vol.14 (3), p.2041-2053
Hauptverfasser:	Zoppetti, Nicola, Ceccherini, Simone, Carli, Bruno, Del Bianco, Samuele, Gai, Marco, Tirelli, Cecilia, Barbara, Flavio, Dragani, Rossana, Arola, Antti, Kujanpää, Jukka, van Peet, Jacob C. A, van der A, Ronald, Cortesi, Ugo
Format:	Artikel
Sprache:	eng
Schlagworte:	Air pollution Algorithms Assimilation Atmospheric models Climate Data Data integration Dimensions Earth observations (from space) Emission measurements Feasibility studies Natural variability Ozone Ozone profiles Satellites Simulation Statistical analysis Statistical methods Work platforms
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Beschreibung
Zusammenfassung:	The new platforms for Earth observation from space are characterized by measurements made at great spatial and temporal resolutions. While this abundance of information makes it possible to detect and study localized phenomena, it may be difficult to manage this large amount of data for the study of global and large-scale phenomena.
ISSN:	1867-8548 1867-1381 1867-8548
DOI:	10.5194/amt-14-2041-2021