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6. May Radiomic Data Predict Prostate Cancer Aggressiveness?

Author

Germanese, Danila, Colantonio, Sara, Caudai, Claudia, Pascali, Maria Antonietta, Barucci, Andrea, Zoppetti, Nicola, Agostini, Simone, Bertelli, Elena, Mercatelli, Laura, Miele, Vittorio, Carpi, Roberto, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Vento, Mario, editor, Percannella, Gennaro, editor, Colantonio, Sara, editor, Giorgi, Daniela, editor, Matuszewski, Bogdan J., editor, Kerdegari, Hamideh, editor, and Razaak, Manzoor, editor

Published
2019
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13. Impact of cardiac surgery on left-sided infective endocarditis with intermediate-length vegetations

Author

Scheggi, Valentina, primary, Bohbot, Yohann, additional, Tribouilloy, Christophe, additional, Trojette, Faouzi, additional, Di Lena, Chloé, additional, Philip, Mary, additional, Hubert, Sandrine, additional, Menale, Silvia, additional, Zoppetti, Nicola, additional, Del Pace, Stefano, additional, Stefàno, Pier Luigi, additional, Habib, Gilbert, additional, and Marchionni, Niccolò, additional

Published
2023
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14. May Radiomic Data Predict Prostate Cancer Aggressiveness?

Author

Germanese, Danila, primary, Colantonio, Sara, additional, Caudai, Claudia, additional, Pascali, Maria Antonietta, additional, Barucci, Andrea, additional, Zoppetti, Nicola, additional, Agostini, Simone, additional, Bertelli, Elena, additional, Mercatelli, Laura, additional, Miele, Vittorio, additional, and Carpi, Roberto, additional

Published
2019
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19. Echocardiographic Abnormalities in Adults With Anorexia Nervosa

Author

Scheggi, Valentina, primary, Castellini, Giovanni, additional, Vanni, Francesco, additional, Menale, Silvia, additional, Filardo, Concetta, additional, Gironi, Veronica, additional, Rinaldi, Anna, additional, Zoppetti, Nicola, additional, Alterini, Bruno, additional, Ricca, Valdo, additional, and Marchionni, Niccolò, additional

Published
2022
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21. Level 2 processor and auxiliary data for ESA Version 8 final full mission analysis of MIPAS measurements on ENVISAT

Author

Ministerio de Ciencia e Innovación (España), European Commission, European Space Agency, Raspollini, Piera, Arnone, Enrico, Barbara, Flavio, Bianchini, Massimo, Carli, Bruno, Ceccherini, Simone, Chipperfield, Martyn P., Dehn, Angelika, Della Fera, Stefano, Dinelli, Bianca Maria, Dudhia, Anu, Flaud, Jean-Marie, Gai, Marco, Kiefer, Michael, López-Puertas, Manuel, Moore, David P., Piro, Alessandro, Remedios, John J., Ridolfi, Marco, Sembhi, Harjinder, Sgheri, Luca, Zoppetti, Nicola, Ministerio de Ciencia e Innovación (España), European Commission, European Space Agency, Raspollini, Piera, Arnone, Enrico, Barbara, Flavio, Bianchini, Massimo, Carli, Bruno, Ceccherini, Simone, Chipperfield, Martyn P., Dehn, Angelika, Della Fera, Stefano, Dinelli, Bianca Maria, Dudhia, Anu, Flaud, Jean-Marie, Gai, Marco, Kiefer, Michael, López-Puertas, Manuel, Moore, David P., Piro, Alessandro, Remedios, John J., Ridolfi, Marco, Sembhi, Harjinder, Sgheri, Luca, and Zoppetti, Nicola

Abstract

High quality long-term data sets of altitude-resolved measurements of the atmospheric composition are important because they can be used both to study the evolution of the atmosphere and as a benchmark for future missions. For the final ESA reprocessing of MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) on ENVISAT (ENViromental SATellite) data, numerous improvements were implemented in the Level 2 (L2) processor Optimised Retrieval Model (ORM) version 8.22 (V8) and its auxiliary data. The implemented changes involve all aspects of the processing chain, from the modelling of the measurements with the handling of the horizontal inhomogeneities along the line of sight to the use of the optimal estimation technique to retrieve the minor species, from a more sensitive approach to detecting the spectra affected by clouds to a refined method for identifying low quality products. Improvements in the modelling of the measurements were also obtained with an update of the used spectroscopic data and of the databases providing the a priori knowledge of the atmosphere. The HITRAN_mipas_pf4.45 spectroscopic database was finalised with new spectroscopic data verified with MIPAS measurements themselves, while recently measured cross-sections were used for the heavy molecules. The Level 2 Initial Guess (IG2) data set, containing the climatology used by the MIPAS L2 processor to generate the initial guess and interfering species profiles when the retrieved profiles from previous scans are not available, was improved taking into account the diurnal variation of the profiles defined using climatologies from both measurements and models. Horizontal gradients were generated using the ECMWF ERA-Interim data closest in time and space to the MIPAS data. Further improvements in the L2 V8 products derived from the use of the L1b V8 products, which were upgraded to reduce the instrumental temporal drift and to handle the abrupt changes in the calibration gain. The improvement

Published
2022

22. Gold nanorods for paper-based genetic assays

Author

Borri, Claudia, primary, Centi, Sonia, additional, Chioccioli, Sofia, additional, Bogani, Patrizia, additional, Micheletti, Filippo, additional, Gai, Marco, additional, Grandi, Paolo, additional, Laschi, Serena, additional, Tona, Francesco, additional, Barucci, Andrea, additional, Zoppetti, Nicola, additional, Pini, Roberto, additional, and Ratto, Fulvio, additional

Published
2022
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23. Level 2 processor and auxiliary data for ESA Version 8 final full mission analysis of MIPAS measurements on ENVISAT

Author

Raspollini, Piera, primary, Arnone, Enrico, additional, Barbara, Flavio, additional, Bianchini, Massimo, additional, Carli, Bruno, additional, Ceccherini, Simone, additional, Chipperfield, Martyn P., additional, Dehn, Angelika, additional, Della Fera, Stefano, additional, Dinelli, Bianca Maria, additional, Dudhia, Anu, additional, Flaud, Jean-Marie, additional, Gai, Marco, additional, Kiefer, Michael, additional, López-Puertas, Manuel, additional, Moore, David P., additional, Piro, Alessandro, additional, Remedios, John J., additional, Ridolfi, Marco, additional, Sembhi, Harjinder, additional, Sgheri, Luca, additional, and Zoppetti, Nicola, additional

Published
2022
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24. WebNir: Web-based tools for assessing occupational exposure to Non-Ionizing Radiation

Author

Comelli, Moreno, primary, Andreuccetti, Daniele, additional, Zoppetti, Nicola, additional, Mattei, Eugenio, additional, Burriesci, Giancarlo, additional, Falsaperla, Rosaria, additional, D’Agostino, Simona, additional, Grandi, Carlo, additional, Valentini, Marco, additional, Bogi, Andrea, additional, Stacchini, Nicola, additional, and Di Liberto, Riccardo, additional

Published
2022
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25. The ESA MIPAS/Envisat level2-v8 dataset: 10 years of measurements retrieved with ORM v8.22

Author

Dinelli, Bianca Maria, primary, Raspollini, Piera, additional, Gai, Marco, additional, Sgheri, Luca, additional, Ridolfi, Marco, additional, Ceccherini, Simone, additional, Barbara, Flavio, additional, Zoppetti, Nicola, additional, Castelli, Elisa, additional, Papandrea, Enzo, additional, Pettinari, Paolo, additional, Dehn, Angelika, additional, Dudhia, Anu, additional, Kiefer, Michael, additional, Piro, Alessandro, additional, Flaud, Jean-Marie, additional, López-Puertas, Manuel, additional, Moore, David, additional, Remedios, John, additional, and Bianchini, Massimo, additional

Published
2021
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28. Paper-based genetic assays with bioconjugated gold nanorods and an automated readout pipeline

Author

Borri, Claudia, primary, Centi, Sonia, additional, Chioccioli, Sofia, additional, Bogani, Patrizia, additional, Micheletti, Filippo, additional, Gai, Marco, additional, Grandi, Paolo, additional, Laschi, Serena, additional, Tona, Francesco, additional, Barucci, Andrea, additional, Zoppetti, Nicola, additional, Pini, Roberto, additional, and Ratto, Fulvio, additional

Published
2021
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29. Supplementary material to "The ESA MIPAS/ENVISAT Level2-v8 dataset: 10 years of measurements retrieved with ORM v8.22"

Author

Dinelli, Bianca Maria, primary, Raspollini, Piera, additional, Gai, Marco, additional, Sgheri, Luca, additional, Ridolfi, Marco, additional, Ceccherini, Simone, additional, Barbara, Flavio, additional, Zoppetti, Nicola, additional, Castelli, Elisa, additional, Papandrea, Enzo, additional, Pettinari, Paolo, additional, Dehn, Angelika, additional, Dudhia, Anu, additional, Kiefer, Michael, additional, Piro, Alessandro, additional, Flaud, Jean-Marie, additional, Lopez-Puertas, Manuel, additional, Moore, David, additional, Remedios, John, additional, and Bianchini, Massimo, additional

Published
2021
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30. Level 2 processor and auxiliary data for ESA Version 8 final full mission analysis of MIPAS measurements on ENVISAT

Author

Raspollini, Piera, primary, Arnone, Enrico, additional, Barbara, Flavio, additional, Bianchini, Massimo, additional, Carli, Bruno, additional, Ceccherini, Simone, additional, Chipperfield, Martyn P., additional, Dehn, Angelika, additional, Della Fera, Stefano, additional, Dinelli, Bianca Maria, additional, Dudhia, Anu, additional, Flaud, Jean-Marie, additional, Gai, Marco, additional, Kiefer, Michael, additional, López-Puertas, Manuel, additional, Moore, David P., additional, Piro, Alessandro, additional, Remedios, John J., additional, Ridolfi, Marco, additional, Sembhi, Harjinder, additional, Sgheri, Luca, additional, and Zoppetti, Nicola, additional

Published
2021
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31. The ESA MIPAS/Envisat level2-v8 dataset: 10 years of measurements retrieved with ORM v8.22

Author

European Space Agency, European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Dinelli, Bianca Maria, Raspollini, Piera, Gai, Marco, Sgheri, Luca, Ridolfi, Marco, Ceccherini, Simone, Barbara, Flavio, Zoppetti, Nicola, Castelli, Elisa, Papandrea, Enzo, Pettinari, Paolo, Dehn, Angelika, Dudhia, Anu, Kiefer, Michael, Piro, Alessandro, Flaud, Jean-Marie, López-Puertas, Manuel, Moore, David, Remedios, John, Bianchini, Massimo, European Space Agency, European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Dinelli, Bianca Maria, Raspollini, Piera, Gai, Marco, Sgheri, Luca, Ridolfi, Marco, Ceccherini, Simone, Barbara, Flavio, Zoppetti, Nicola, Castelli, Elisa, Papandrea, Enzo, Pettinari, Paolo, Dehn, Angelika, Dudhia, Anu, Kiefer, Michael, Piro, Alessandro, Flaud, Jean-Marie, López-Puertas, Manuel, Moore, David, Remedios, John, and Bianchini, Massimo

Abstract

The observations acquired during the full mission of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument, aboard the European Space Agency Environmental Satellite (Envisat), have been analysed with version 8.22 of the Optimised Retrieval Model (ORM), originally developed as the scientific prototype of the ESA level-2 processor for MIPAS observations. The results of the analyses have been included into the MIPAS level-2 version 8 (level2-v8) database containing atmospheric fields of pressure, temperature, and volume mixing ratio (VMR) of MIPAS main targets H2O, O3, HNO3, CH4, N2O, and NO2, along with the minor gases CFC-11, ClONO2, N2O5, CFC-12, COF2, CCl4, CF4, HCFC-22, C2H2, CH3Cl, COCl2, C2H6, OCS, and HDO. The database covers all the measurements acquired by MIPAS in the nominal measurement mode of the full resolution (FR) part of the mission (from July 2002 to March 2004) and all the observation modes of the optimised resolution (OR) part (from January 2005 to April 2012). The number of species included in the MIPAS level2-v8 dataset makes it of particular importance for the studies of stratospheric chemistry. The database is considered by ESA the final release of the MIPAS level-2 products. The ORM algorithm is operated at the vertical grid coincident to the tangent altitudes of the observations or to a subset of them, spanning (in the nominal mode) the altitude range from 6 to 68 km in the FR phase and from 6 to 70 km in the OR period. In the latitude domain, FR profiles are spaced by about 4.7ĝ, while the OR profiles are spaced by about 3.7ĝ. For each retrieved species, the auxiliary data and the retrieval choices are described. Each product is characterised in terms of the retrieval error, spatial resolution, and "useful"vertical range in both phases of the MIPAS mission. These depend on the characteristics of the measurements (spectral and vertical resolution of the measurements), the retrieval choices (number of spectral points

Published
2021

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

Author

Zoppetti, Nicola, primary, Ceccherini, Simone, additional, Carli, Bruno, additional, Del Bianco, Samuele, additional, Gai, Marco, additional, Tirelli, Cecilia, additional, Barbara, Flavio, additional, Dragani, Rossana, additional, Arola, Antti, additional, Kujanpää, Jukka, additional, van Peet, Jacob C. A., additional, van der A, Ronald, additional, and Cortesi, Ugo, additional

Published
2021
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33. A Distributed Modular Data Processing Chain Applied to Simulated Satellite Ozone Observations

Author

Gai, Marco, primary, Barbara, Flavio, additional, Ceccherini, Simone, additional, Cortesi, Ugo, additional, Del Bianco, Samuele, additional, Tirelli, Cecilia, additional, Zoppetti, Nicola, additional, Belotti, Claudio, additional, Canessa, Bruno, additional, Farruggia, Vincenzo, additional, Masini, Andrea, additional, Keppens, Arno, additional, Lambert, Jean-Christopher, additional, Arola, Antti, additional, Lipponen, Antti, additional, and Tuinder, Olaf, additional

Published
2021
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34. Comprehensive Analysis of Radiomic Datasets by RadAR

Author

Benelli, Matteo, primary, Barucci, Andrea, additional, Zoppetti, Nicola, additional, Calusi, Silvia, additional, Redapi, Laura, additional, Della Gala, Giuseppe, additional, Piffer, Stefano, additional, Bernardi, Luca, additional, Fusi, Franco, additional, and Pallotta, Stefania, additional

Published
2020
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36. FEASIBILITY AND OUTCOME OF MITRAL VALVE REPAIR IN PATIENTS WITH INFECTIVE ENDOCARDITIS

Author

scheggi, valentina, primary, Alterini, Bruno, additional, Olivotto, Iacopo, additional, Pace, Stefano Del, additional, Starnazzi, Francesco, additional, Merilli, Irene, additional, Ceschia, Nicole, additional, Andrei, Valentina, additional, Zoppetti, Nicola, additional, Marchionni, Niccol, additional, Cerillo, Alfredo, additional, and Stefano, Pier Luigi, additional

Published
2020
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40. Supplementary material to "The Complete Data Fusion for a Full Exploitation of Copernicus Atmospheric Sentinel Level 2 Products"

Author

Zoppetti, Nicola, primary, Ceccherini, Simone, additional, Carli, Bruno, additional, Del Bianco, Samuele, additional, Gai, Marco, additional, Tirelli, Cecilia, additional, Barbara, Flavio, additional, Dragani, Rossana, additional, Arola, Antti, additional, Kujanpää, Jukka, additional, van Peet, Jacob C. A., additional, van der A, Ronald, additional, and Cortesi, Ugo, additional

Published
2019
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41. The Complete Data Fusion for a Full Exploitation of Copernicus Atmospheric Sentinel Level 2 Products

Author

Zoppetti, Nicola, primary, Ceccherini, Simone, additional, Carli, Bruno, additional, Del Bianco, Samuele, additional, Gai, Marco, additional, Tirelli, Cecilia, additional, Barbara, Flavio, additional, Dragani, Rossana, additional, Arola, Antti, additional, Kujanpää, Jukka, additional, van Peet, Jacob C. A., additional, van der A, Ronald, additional, and Cortesi, Ugo, additional

Published
2019
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42. Radiomics to Predict Prostate CancerAggressiveness: A Preliminary Study

Author

Germanese, Danila, primary, Mercatelli, Laura, additional, Colantonio, Sara, additional, Miele, Vittorio, additional, Pascali, Maria Antonietta, additional, Caudai, Claudia, additional, Zoppetti, Nicola, additional, Carpi, Roberto, additional, Barucci, Andrea, additional, Bertelli, Elena, additional, and Agostini, Simone, additional

Published
2019
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43. CCl4 distribution derived from MIPAS ESA v7 data: Intercomparisons, trend, and lifetime estimation

Author

Valeri, Massimo, Barbara, Flavio, Boone, Chris, Ceccherini, Simone, Gai, Marco, Maucher, Guido, Raspollini, Piera, Ridolfi, Marco, Sgheri, Luca, Wetzel, Gerald, Zoppetti, Nicola, Valeri, Massimo, Barbara, Flavio, Boone, Chri, Ceccherini, Simone, Gai, Marco, Maucher, Guido, Raspollini, Piera, Ridolfi, Marco, Sgheri, Luca, Wetzel, Gerald, and Zoppetti, Nicola

Subjects
Atmospheric Science
Abstract

Atmospheric emissions of carbon tetrachloride (CCl4) are regulated by the Montreal Protocol due to its role as a strong ozone-depleting substance. The molecule has been the subject of recent increased interest as a consequence of the so-called mystery of CCl4, the discrepancy between atmospheric observations and reported production and consumption. Surface measurements of CCl4 atmospheric concentrations have declined at a rate almost 3 times lower than its lifetime-limited rate, suggesting persistent atmospheric emissions despite the ban. In this paper, we study CCl4 vertical and zonal distributions in the upper troposphere and lower stratosphere (including the photolytic loss region, 70-20hPa), its trend, and its stratospheric lifetime using measurements from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), which operated onboard the ENVISAT satellite from 2002 to 2012. Specifically, we use the MIPAS data product generated with Version 7 of the Level 2 algorithm operated by the European Space Agency.The CCl4 zonal means show features typical of long-lived species of anthropogenic origin that are destroyed primarily in the stratosphere, with larger quantities in the troposphere and a monotonic decrease with increasing altitude in the stratosphere. MIPAS CCl4 measurements have been compared with independent measurements from other satellite and balloon-borne remote sounders, showing a good agreement between the different datasets.CCl4 trends are calculated as a function of both latitude and altitude. Negative trends of about ĝ'10 to ĝ'15ĝpptvĝdecadeĝ'1 (ĝ'10 to ĝ'30ĝ%ĝdecadeĝ'1) are found at all latitudes in the upper troposphere-lower stratosphere region, apart from a region in the southern midlatitudes between 50 and 10ĝhPa where the trend is positive with values around 5-10ĝpptvĝdecadeĝ'1 (15-20ĝ%ĝdecadeĝ'1). At the lowest altitudes sounded by MIPAS, we find trends consistent with those determined on the basis of long-term ground-based measurements (ĝ'10 to ĝ'13ĝpptvĝdecadeĝ'1). For higher altitudes, the trend shows a pronounced asymmetry between the Northern and Southern hemispheres, and the magnitude of the decline rate increases with altitude. We use a simplified model assuming tracer-tracer linear correlations to determine CCl4 lifetime in the lower stratosphere. The calculation provides a global average lifetime of 47 (39-61) years, considering CFC-11 as the reference tracer. This value is consistent with the most recent literature result of 44 (36-58) years.

Published
2017

44. Quality assessment of MIPAS ESA V8 products before full mission reprocessing

Author

Raspollini, Piera, Barbara, Flavio, Bianchini, Massimo, Birk, Manfred, Castelli, Elisa, Ceccherini, Simone, Dehn, Angelika, Gai, Marco, Dinelli, Bianca Maria, Dudhia, Anu, Flaud, Jean-Marie, Hoepfner, Michael, Hubert, Daan, Keppens, Arno, Kiefer, Michael, Kleinert, Anne, Moore, David, Papandrea, Enzo, Perron, Gaetan, Piro, Alessandro, Lopez-Puertas, Manuel, Oelhaf, Hermann, Pettinari, Paolo, Remedios, John, Ridolfi, Marco, Sgheri, Luca, Wagner, Georg, Wetzel, Gerald, and Zoppetti, Nicola

Subjects
MIPAS, ESA V8 Products, ENVISAT
Abstract

The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) is a limb-viewing infrared Fourier transform spectrometer that operated from 2002 to 2012 onboard the ENVISAT satellite. The maintenance and the upgrade of both L1 and L2 ESA processors are accomplished by the Quality Working Group, where a fruitful collaboration among Level 1, Level 2 and validation teams can be exploited. Recently both ESA L1 and L2 processors have been updated, as well as the spectroscopic database and some absorption cross-sections. In addition to the products already present in the current release (V7) of ESA MIPAS data (temperature and the VMR of H2O, O3, HNO3, CH4, N2O, NO2, CFC-11, CFC-12, N2O5, ClONO2, HCFC-22, COF2, CF4, HCN and CCl4), the VMR of six additional species (OCS, CH3Cl, HDO, C2H2, C2H6, COCl2) will be provided in V8 dataset. In preparation of V8 full mission reprocessing, three Diagnostic Datasets have been generated to check the performances of all L1, L2 processors and the new auxiliary data. The analysis of these Diagnostic Datasets and the comparison with previous full mission dataset V7 will be used to perform a first assessment of the quality of the new V8 products. In the paper special focus will be given to the new species.

Published
2018

46. Advanced Ultraviolet Radiation and Ozone Retrieval for Applications (AURORA): A Project Overview

Author

Cortesi, Ugo, primary, Ceccherini, Simone, additional, Del Bianco, Samuele, additional, Gai, Marco, additional, Tirelli, Cecilia, additional, Zoppetti, Nicola, additional, Barbara, Flavio, additional, Bonazountas, Marc, additional, Argyridis, Argyros, additional, Bós, André, additional, Loenen, Edo, additional, Arola, Antti, additional, Kujanpää, Jukka, additional, Lipponen, Antti, additional, Wandji Nyamsi, William, additional, van der A, Ronald, additional, van Peet, Jacob, additional, Tuinder, Olaf, additional, Farruggia, Vincenzo, additional, Masini, Andrea, additional, Simeone, Emilio, additional, Dragani, Rossana, additional, Keppens, Arno, additional, Lambert, Jean-Christopher, additional, van Roozendael, Michel, additional, Lerot, Christophe, additional, Yu, Huan, additional, and Verberne, Koen, additional

Published
2018
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47. The Complete Data Fusion for a Full Exploitation of Copernicus Atmospheric Sentinel Level 2 Products.

Author

Zoppetti, Nicola, Ceccherini, Simone, Carli, Bruno, Bianco, Samuele Del, Gai, Marco, Tirelli, Cecilia, Barbara, Flavio, Dragani, Rossana, Arola, Antti, Kujanpää, Jukka, van Peet, Jacob C. A., van der A, Ronald, and Cortesi, Ugo

Subjects
*MULTISENSOR data fusion, *PRODUCT quality, *MANUFACTURED products, *PRODUCT improvement
Abstract

The new platforms for Earth observation from space are characterized by measurements made with great spatial and temporal resolution. While this abundance of information makes it possible to detect and study localized phenomena, on the other hand it may be difficult to manage this large amount of data in the study of global and large scale phenomena. A particularly significant example is the use by assimilation systems of level 2 products that represent gas profiles in the atmosphere. The models on which assimilation systems are based are discretized on spatial grids with horizontal dimensions of the order of tens of kilometres in which tens or hundreds of measurements may fall. A simple procedure to overcome this problem is to extract a subset of the original measurements. However, this procedure involves a loss of information and is therefore justifiable only as a temporary solution. A more refined solution is to resort to the so-called fusion algorithms, capable of compressing the size of the dataset limiting the information loss. A novel data fusion method, the Complete Data Fusion, was recently developed to merge a-posteriori a set of retrieved products in a single one. In the present paper, the Complete Data Fusion method is applied to ozone profile measurements simulated in the thermal infrared and ultraviolet bands, in a realistic scenario, according to the specifications of the Sentinel 4 and 5 missions of the Copernicus programme. Then the fused products are compared with the input profiles; comparisons show that the output products of data fusion have in general smaller errors and higher information contents. The most significant improvement is an increased vertical resolution together with a reduction of the errors. The comparisons of the fused with the fusing products are presented both at single fusion grid-box scale and with a statistical analysis. The grid box size impact was also evaluated, showing that the Complete Data Fusion method can be used with a wide range of grid-box size, the quality of the products improving with larger grid boxes. [ABSTRACT FROM AUTHOR]

Published
2019
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