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First 773 results for ” G Ancellet”

1. The most at-risk regions in the world for high-impact heatwaves

   Heatwaves are becoming more frequent under climate change and can lead to thousands of excess dea...

   Vikki Thompson, Dann Mitchell, Gabriele C. Hegerl, Matthew Collins, Nicholas J. Leach & Julia M. Slingo | Journal: Nature Communications | Volume: 14 | Year: 2023 | First page: 2152 | doi: https://doi.org/10.1038/s41467-023-37554-1

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2. Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion

   Concentrations of atmospheric methane (CH4), the second most important greenhouse gas, continue t...

   McNorton J., Bousserez N., Agusti-Panareda A., Balsamo G., Cantarello L., Engelen R., Huijnen V., Inness A., Kipling Z., Parrington M., Ribas R. | Journal: Atmospheric Chemistry and Physics | Volume: 22 (9) | Year: 2022 | First page: 5961 | Last page: 5981 | doi: 10.5194/acp-22-5961-2022

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3. A new high-resolution ocean wind forcing product for the Copernicus Marine Service

   As more than 70% of the earth surface is covered by water, exchanges of heat, gases and momentum ...

   Rianne Giesen, Ad Stoffelen, Ana Trindade, Liselotte van Cranenburgh, Marcos Portabella | Journal: EGU General Assembly | Year: 2022 | doi: https://doi.org/10.5194/egusphere-egu22-7624

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4. On Dropsonde Surface-Adjusted Winds and Their Use for the Stepped Frequency Microwave Radiometer Wind Speed Calibration

   The airborne stepped frequency microwave radiometer (SFMR) provides the measurements of 10-m ocea...

   Federica Polverari, Joseph W Sapp, Marcos Portabella, Ad Stoffelen, Zorana Jelenak, Paul S Chang | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2022 | doi: https://doi.org/10.1109/TGRS.2022.3189310

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5. 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

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