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Open AccessArticle

A Distributed Modular Data Processing Chain Applied to Simulated Satellite Ozone Observations

1
Istituto di Fisica Applicata Nello Carrara del Consiglio Nazionale delle Ricerche (IFAC-CNR), I-50019 Sesto Fiorentino, Italy
2
Istituto Nazionale di Ottica del Consiglio Nazionale delle Ricerche (INO-CNR), I-50019 Sesto Fiorentino, Italy
3
Flyby, S.r.l., I-57128 Livorno, Italy
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Royal Belgian Institute for Space Aeronomy (BIRA-IASB), B-1180 Brussels, Belgium
5
Finnish Meteorological Institute, 70211 Kuopio, Finland
6
Royal Netherlands Meteorological Institute, 3731 GA De Bilt, The Netherlands
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(2), 210; https://doi.org/10.3390/rs13020210
Received: 4 November 2020 / Revised: 15 December 2020 / Accepted: 24 December 2020 / Published: 9 January 2021
(This article belongs to the Special Issue Remote Sensing and Digital Twins)
Remote sensing of the atmospheric composition from current and future satellites, such as the Sentinel missions of the Copernicus programme, yields an unprecedented amount of data to monitor air quality, ozone, UV radiation and other climate variables. Hence, full exploitation of the growing wealth of information delivered by spaceborne observing systems requires addressing the technological challenges for developing new strategies and tools that are capable to deal with these huge data volumes. The H2020 AURORA (Advanced Ultraviolet Radiation and Ozone Retrieval for Applications) project investigated a novel approach for synergistic use of ozone profile measurements acquired at different frequencies (ultraviolet, visible, thermal infrared) by sensors onboard Geostationary Equatorial Orbit (GEO) and Low Earth Orbit (LEO) satellites in the framework of the Copernicus Sentinel-4 and Sentinel-5 missions. This paper outlines the main features of the technological infrastructure, designed and developed to support the AURORA data processing chain as a distributed data processing and describes in detail the key components of the infrastructure and the software prototype. The latter demonstrates the technical feasibility of the automatic execution of the full processing chain with simulated data. The Data Processing Chain (DPC) presented in this work thus replicates a processing system that, starting from the operational satellite retrievals, carries out their fusion and results in the assimilation of the fused products. These consist in ozone vertical profiles from which further modules of the chain deliver tropospheric ozone and UV radiation at the Earth’s surface. The conclusions highlight the relevance of this novel approach to the synergistic use of operational satellite data and underline that the infrastructure uses general-purpose technologies and is open for applications in different contexts. View Full-Text
Keywords: distributed data processing; simulated satellite measurements; software prototype; geo-database distributed data processing; simulated satellite measurements; software prototype; geo-database
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MDPI and ACS Style

Gai, M.; Barbara, F.; Ceccherini, S.; Cortesi, U.; Del Bianco, S.; Tirelli, C.; Zoppetti, N.; Belotti, C.; Canessa, B.; Farruggia, V.; Masini, A.; Keppens, A.; Lambert, J.-C.; Arola, A.; Lipponen, A.; Tuinder, O. A Distributed Modular Data Processing Chain Applied to Simulated Satellite Ozone Observations. Remote Sens. 2021, 13, 210. https://doi.org/10.3390/rs13020210

AMA Style

Gai M, Barbara F, Ceccherini S, Cortesi U, Del Bianco S, Tirelli C, Zoppetti N, Belotti C, Canessa B, Farruggia V, Masini A, Keppens A, Lambert J-C, Arola A, Lipponen A, Tuinder O. A Distributed Modular Data Processing Chain Applied to Simulated Satellite Ozone Observations. Remote Sensing. 2021; 13(2):210. https://doi.org/10.3390/rs13020210

Chicago/Turabian Style

Gai, Marco; Barbara, Flavio; Ceccherini, Simone; Cortesi, Ugo; Del Bianco, Samuele; Tirelli, Cecilia; Zoppetti, Nicola; Belotti, Claudio; Canessa, Bruno; Farruggia, Vincenzo; Masini, Andrea; Keppens, Arno; Lambert, Jean-Christopher; Arola, Antti; Lipponen, Antti; Tuinder, Olaf. 2021. "A Distributed Modular Data Processing Chain Applied to Simulated Satellite Ozone Observations" Remote Sens. 13, no. 2: 210. https://doi.org/10.3390/rs13020210

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