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First 1457 results for ” M Hermann”

1. Large variability in simulated response of vegetation composition and carbon dynamics to variations in drought-heat occurrence

   The frequency of heatwaves, droughts and their co-occurrence vary greatly in simulations of diffe...

   E Tschumi, S Lienert, A Bastos, P Ciais, K Gregor, F Joos, J Knauer, P Papastefanou, A Rahmig, K van der Wiel, K Williams, Y Xu, S Zähle, J Zscheischler | Journal: Journal of Geophysical Research: Biogeosciences, 128, pp. e2022JG007332. | Volume: 128 | Year: 2023 | First page: e2022JG007332 | doi: 10.1029/2022JG007332

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2. 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

   Publication

3. Changes in Stratospheric Dynamics Simulated by the EC-Earth Model From CMIP5 to CMIP6

   The simulated stratospheric dynamics have been improved compared to previous generations in many ...

   F. Serva, B. Christiansen, P. Davini, J. von Hardenberg, G. van den Oord, T. J. Reerink, K. Wyser, S. Yang | Journal: Journal of Advances in Modeling Earth Systems | Volume: 16 | Year: 2024 | doi: https://doi.org/10.1029/2023MS003756

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4. Regional drivers and characteristics of multi-year droughts

   Multi-year droughts (MYDs) are severe natural hazards that have become more common due to climate...

   Jonna van Mourik, Denise Ruijsch, Karin van der Wiel, Wilco Hazeleger, Niko Wanders | Journal: Weather and Climate Extremes | Volume: 48 | Year: 2025 | doi: https://doi.org/10.1016/j.wace.2025.100748

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5. Probabilistic Forecasting of Cloud-Base Height and Visibility Using Quantile Regression Forests, Based on NWP and Observation Features

   We have applied quantile regression forests (QRFs) to generate probabilistic forecasts of weather...

   D. Wolters, M. Schmeits, and K. Whan | Journal: Wea. Forecasting | Volume: 40 | Year: 2025 | First page: 543 | Last page: 559 | doi: https://doi.org/10.1175/WAF-D-23-0231.1

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