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First 2184 results for ” JP Vernier”

1. Albatross movement suggests sensitivity to infrasound cues at sea

   The ways in which seabirds navigate over very large spatial scales remain poorly understood. Whil...

   N Gillies, LM Martín López, OFC den Ouden, JD Assink, M Basille, TA Clay, S Clusella-Trullas, R Joo, H Weimerskirch, M Zampolli, JN Zeyl, SC Patrick | Journal: Proceedings of the National Academy of Science | Year: 2023 | doi: https://doi.org/10.1073/pnas.2218679120

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2. High resolution solar irradiance variability climatology dataset part 2: classifications, supplementary data, and statistics

   Dataset description High resolution surface solar irradiance series classification, cloud shad...

   Wouter B. Mol, Wouter H. Knap and Chiel C. van Heerwaarden | Journal: Zenodo | Year: 2022 | doi: https://zenodo.org/doi/10.5281/zenodo.7092057

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3. Estimating trends and the current climate mean in a changing climate

   Describing the climate evolution using trend lines and estimating the current climate mean (CCM) ...

   Scherrer, S. C., de Valk, C., Begert, M., Gubler, S., Kotlarski, S., & Croci-Maspoli, M. | Journal: Climate Services | Volume: 33 | Year: 2024 | doi: https://doi.org/10.1016/j.cliser.2023.100428

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4. A perfect model study on the reliability of the added small-scale information in regional climate change projections

   he issue of the added value (AV) of high resolution regional climate models is complex and still ...

   Lenderink, Geert, de Vries, Hylke, van Meijgaard, Erik, van der Wiel, Karin and Selten, Frank | Journal: Climate Dynamics | Volume: 60 | Year: 2023 | First page: 2563 | Last page: 2579 | doi: 10.1007/s00382-022-06451-6

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5. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

   Modeling dependencies between climate extremes is important for climate risk assessment, for inst...

   Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4

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