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First 956 results for ” G. Pappalardo”

  1. EPOS-DCAT-AP 2.0 – State of Play on the Application Profile for Metadata Exchange in the EPOS RI

    Metadata application profiles are widely employed to enable the exchange of metadata between diff...

    Rossana Paciello, Luca Trani, Daniele Bailo and Manuela Sbarra | Journal: Communications in Computer and Information Science | Volume: 1789 | Year: 2023 | doi: https://doi.org/10.1007/978-3-031-39141-5_21

    Publication

  2. Improving the Quikscat Derived Winds Near the Coast

    This paper describes some preliminary steps to improve the coastal winds retrieved from the Seawi...

    G Grieco, M Portabella, A Stoffelen, J Vogeltang, A Verhoef | Journal: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium | Year: 2022 | doi: https://doi.org/10.1109/IGARSS46834.2022.9884598

    Publication

  3. SWIRRL. Managing Provenance-aware and Reproducible Workspaces

    Modern interactive tools for data analysis and visualisation are designed to expose their functio...

    Alessandro Spinuso, Mats Veldhuizen, Daniele Bailo, Valerio Vinciarelli, Tor Langeland | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00129

    Publication

  4. Sea level rise risks and societal adaptation benefits in low-lying coastal areas

    Sea level rise (SLR) will increase adaptation needs along low-lying coasts worldwide. Despite cen...

    Alexandre K. Magnan, Michael Oppenheimer, Matthias Garschagen, Maya K. Buchanan, Virginie K. E. Duvat, Donald L. Forbes, James D. Ford, Erwin Lambert, Jan Petzold, Fabrice G. Renaud, Zita Sebesvari, Roderik S. W. van de Wal, Jochen Hinkel & Hans-Otto Pörtner | Journal: Nature Scientific Reports | Volume: 12 | Year: 2022 | doi: 10.1038/s41598-022-14303-w

    Publication

  5. Towards Quikscat-Derived Coastal Winds

    This paper presents the implementation of the Land Contribution Ratio (LCR) methodology for the p...

    Giuseppe Grieco, Marcos Portabella, Ad Stoffelen, Jur Vogelzang, Anton Verhoef | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9554946

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