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First 4034 results for ”T. Riess K.F. Boersma W. van Roy J. de Laat E. Dammers J. van Vliet ”

1. Ten years of 1 Hz solar irradiance observations at Cabauw, the Netherlands, with cloud observations, variability classifications, and statistics

   Surface solar irradiance varies on scales down to seconds, and detailed long-term observational d...

   Wouter B. Mol, Wouter H. Knap, and Chiel C. van Heerwaarden | Journal: Earth System Science Data | Volume: 15 | Year: 2023 | First page: 2139 | Last page: 2151 | doi: https://doi.org/10.5194/essd-15-2139-2023

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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. Significant contribution of inland ships to the total NOx emissions along the Yangtze River

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   Zhang, X., van der A, R., Ding, J., Zhang, X., and Yin, Y. | Journal: Atmos. Chem. Phys. | Volume: 23 | Year: 2023 | First page: 5587 | Last page: 5604 | doi: https://doi.org/10.5194/acp-23-5587-2023

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4. Global Climate [in “State of the Climate in 2022“]

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   Dunn, R. J. H., J. B Miller, K. M. Willett, and N. Gobron, .....R.J. van der A, ...et al. | Journal: Bull. Amer. Meteor. Soc. | Volume: 104(9) | Year: 2023 | First page: S11 | Last page: S145 | doi: 10.1175/BAMS-D-23-0090.1

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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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