Outputs of the Jupyter Notebook - SEVIRI Level 1.5
<p>The dataset contains the outputs of the notebook "SEVIRI Level 1.5" published in The Environmental Data Science Book.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li> <p>Samuel Jackson (author), Science & Technology Facilities Council, <a href="https://github.com/samueljackson92">@samueljackson92</a></p> </li> <li> <p>Alejandro Coca-Castro (reviewer), The Alan Turing Institute, <a href="https://github.com/acocac">@acocac</a>, 18/01/22 (latest revision)</p> </li> </ul> <p><em>Dataset originator/creator</em></p> <p>SEVIRI Level 1.5 Image Data - MSG - 0 degree</p> <ul> <li> <p>European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)</p> </li> </ul> <p>FRPPIXEL</p> <ul> <li> <p>Land Surface Analysis, Satellite Application Facility on Land Surface Analysis (LSA SAF)</p> </li> </ul> <p><em>Dataset authors</em></p> <p>SEVIRI Level 1.5 Image Data - MSG - 0 degree</p> <ul> <li> <p>European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)</p> </li> </ul> <p>FRPPIXEL</p> <ul> <li> <p>Land Surface Analysis, Satellite Application Facility on Land Surface Analysis (LSA SAF)</p> </li> </ul> <p><em>Dataset documentation</em></p> <ul> <li> <p>Martin Wooster, Jiangping He, Weidong Xu, and Alessio Lattanzio. Frp - product user manual. URL: <a href="https://nextcloud.lsasvcs.ipma.pt/s/pnDEepeq8zqRyrq">https://nextcloud.lsasvcs.ipma.pt/s/pnDEepeq8zqRyrq</a> (visited on 2021-11-18).</p> </li> <li> <p>MJ Wooster, G Roberts, PH Freeborn, W Xu, Y Govaerts, R Beeby, J He, A Lattanzio, D Fisher, and R Mullen. Lsa saf meteosat frp products–part 1: algorithms, product contents, and analysis. <em>Atmospheric Chemistry and Physics</em>, 15(22):13217–13239, 2015.</p> </li> </ul>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4