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First 356 results for ” T Farrar”

  1. Comparison of Empirical and Theoretical Models of the Thermospheric Density Enhancement During the 3–4 February 2022 Geomagnetic Storm

    On 3 February 2022, at 18:13 UTC, SpaceX launched and a short time later deployed 49 Starlin...

    Jianhui He, Elvira Astafyeva, Xinan Yue, Nicholas M. Pedatella, Dong Lin, Timothy J. Fuller-Rowell, Mariangel Fedrizzi, Mihail Codrescu, Eelco Doornbos, Christian Siemes, Sean Bruinsma, Frederic Pitout, Adam Kubaryk | Journal: Space Weather | Volume: 21 | Year: 2023 | doi: https://doi.org/10.1029/2023SW003521

    Publication

  2. Sun-as-a-Star Spectral Line Variability in the 300–2390 nm Wavelength Range

    Combining the near-daily Ozone Monitoring Instrument (OMI) and Tropospheric Monitoring Instrument...

    Sergey V. Marchenko, Antje Ludewig, Serena Criscuoli, Khaled Al Moulla, Debi P. Choudhary, Matthew T. DeLand, Greg Kopp, Erwin Loots, Emiel van der Plas, and Pepijn Veefkind | Journal: The Astrophysical Journal | Volume: 977 | Year: 2024 | doi: 10.3847/1538-4357/ad888f

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  3. Single-column model simulations of subtropical marine boundary-layer cloud transitions under weakening inversions

    Results are presented of the GASS/EUCLIPSE single-column model inter-comparison study on the subt...

    RAJ Neggers, W de Rooy, C de Bruijn | Status: published | Journal: JAMES | Volume: 9 | Year: 2017 | First page: 2385 | Last page: 2412 | doi: https://doi.org/10.1002/2017MS001064

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  4. Improving precipitation nowcasting for high-intensity events using deep generative models with balanced loss and temperature data: A case study in the Netherlands

    Precipitation nowcasting is essential for weather-dependent decision-making, but it remains a cha...

    Charlotte Cambier van Nooten, Koert Schreurs, Jasper S. Wijnands, Hidde Leijnse, Maurice Schmeits, Kirien Whan, Yuliya Shapovalova | Journal: Artificial Intelligence for the Earth Systems | Volume: 2 | Year: 2023 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1175/AIES-D-23-0017.1

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  5. How wind energy can help improve wind shear and roughness modelling.

    Numerical weather prediction models (NWP) feed dispersion models with important parameters such a...

    Geertsema G., Holtslag E. | Year: 2024

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