Articles | Volume 14, issue 3
https://doi.org/10.5194/amt-14-2041-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-2041-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Mar 2021
Research article |
| 12 Mar 2021
| 12 Mar 2021
Application of the Complete Data Fusion algorithm to the ozone profiles measured by geostationary and low-Earth-orbit satellites: a feasibility study
Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
Simone Ceccherini
CORRESPONDING AUTHOR
Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
Bruno Carli
Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
Samuele Del Bianco
Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
Marco Gai
Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
Cecilia Tirelli
Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
Flavio Barbara
Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
Rossana Dragani
European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
Antti Arola
Finnish Meteorological Institute, Atmospheric Research Centre of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Jukka Kujanpää
Finnish Meteorological Institute, Space and Earth Observation Centre, P.O. Box 503, 00101 Helsinki, Finland
Jacob C. A. van Peet
Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Vrije Universiteit Amsterdam, Department of Earth Sciences, 1081 HV, Amsterdam, the Netherlands
Ronald van der A
Royal Netherlands Meteorological Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Ugo Cortesi
Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy
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Cited
6 citations as recorded by crossref.
- An improved formula for the complete data fusion S. Ceccherini et al. 10.5194/amt-15-7039-2022
- Generalization of the complete data fusion to multi-target retrieval of atmospheric parameters and application to FORUM and IASI-NG simulated measurements C. Tirelli et al. 10.1016/j.jqsrt.2021.107925
- Construction of International Education Talents Training Mechanism Based on Data Fusion Algorithm Y. Hong & L. Chen 10.1155/2022/7872741
- Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements M. Ridolfi et al. 10.5194/amt-15-6723-2022
- Advanced Ultraviolet Radiation and Ozone Retrieval for Applications—Surface Ultraviolet Radiation Products A. Lipponen et al. 10.3390/atmos11040324
- A Distributed Modular Data Processing Chain Applied to Simulated Satellite Ozone Observations M. Gai et al. 10.3390/rs13020210
4 citations as recorded by crossref.
- An improved formula for the complete data fusion S. Ceccherini et al. 10.5194/amt-15-7039-2022
- Generalization of the complete data fusion to multi-target retrieval of atmospheric parameters and application to FORUM and IASI-NG simulated measurements C. Tirelli et al. 10.1016/j.jqsrt.2021.107925
- Construction of International Education Talents Training Mechanism Based on Data Fusion Algorithm Y. Hong & L. Chen 10.1155/2022/7872741
- Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements M. Ridolfi et al. 10.5194/amt-15-6723-2022
2 citations as recorded by crossref.
Latest update: 18 Apr 2024
Short summary
The new platforms for Earth observation from space will provide an enormous amount of data that can be hard to exploit as a whole. The Complete Data Fusion algorithm can reduce the data volume while retaining the information of the full dataset. In this work, we applied the Complete Data Fusion algorithm to simulated ozone profiles, and the results show that the fused products are characterized by higher information content compared to individual L2 products.
The new platforms for Earth observation from space will provide an enormous amount of data that...
