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First 2910 results for ” M van Lieshout”

1. Seasonal and regional contrasts of future trends in interannual arctic climate variability

   Future changes in interannual variability (IAV) of Arctic climate indicators such as sea ice and ...

   Marlen Kolbe1 · Richard Bintanja1, 2 · Eveline C. van der Linden2 | Journal: Climate Dynamics | Volume: 61 | Year: 2023 | First page: 3673 | Last page: 3706 | doi: https://doi.org/10.1007/s00382-023-06766-y

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2. 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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3. 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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4. Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic?

   Large-ensemble climate model simulations can provide deeper understanding of the characteristics ...

   T Kelder, N Wanders, K van der Wiel, TI Marjoribanks, LJ Slater, RI Wilby, C Prudhomme | Journal: Environmental Research Letters | Volume: 17 | Year: 2022 | First page: 044052 | doi: 10.1088/1748-9326/ac5cf4

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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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