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First 842 results for ” S Wildner”

1. 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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2. 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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3. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

   The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...

   Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., andWill´en, U | Journal: Geoscientific Model Development | Year: 2019 | doi: https://doi.org/10.5194/gmd-12-829-2019

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4. Satellite chartography of atmospheric methane from SCIAMACHY on board ENVISAT: 2. Evaluation based on inverse model simulations
   P Bergamaschi, C Frankenberg, JF Meirink, M Krol, F Dentener, T Wagner, U Platt, JO Kaplan, S Koerner, M Heimann, EJ Dlugokencky, APH Goede | Status: published | Journal: J. Geophys. Res. | Volume: 112 | Year: 2007 | doi: 10.1029/2006JD007268

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5. Validation report of the MACC near-real time global atmospheric composition service. System evolution and performance statistics until November 2011

   The MACC II (Modelling Atmospheric Composition and Climate, www.gmes-atmosphere.eu) project is es...

   HJ Eskes, V Huijnen, A Wagner, M Schulz, K Lefever | Year: 2012

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