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First 1088 results for ” M. Evaldsson”

1. Overcoming the disconnect between energy system and climate modelling

   Energy system models underpin decisions by energy system planners and operators. Energy system mo...

   MT Craig, J Wohland, LP Stoop, A Kies, B Pickering, HC Bloomfield, J Browell, M de Felice, CJ Dent, A Deroubaix, F Frischmuth, PLM Gonzalez, A Grochowicz, K Gruber, P Hartel, M Kittel, L Kotzur, I Labuhn, JK Lundquist, N Pflugradt, K van der Wiel, M Zeyringer, DJ Brayshaw | Journal: Joule | Volume: 6 | Year: 2022 | First page: 1405 | Last page: 1417 | doi: 10.1016/j.joule.2022.05.010

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2. Tropospheric and stratospheric ozone profiles during the 2019 TROpomi vaLIdation eXperiment (TROLIX-19)

   A TROPOspheric Monitoring Instrument (TROPOMI) validation campaign was held in the Nether- lands...

   Sullivan, J. T., Apituley, A., Mettig, N., Kreher, K., Knowland, K. E., Allaart, M., Piters, A., Van Roozendael, M., Veefkind, P., Ziemke, J. R., Kramarova, N., Weber, M., Rozanov, A., Twigg, L., Sumnicht, G., and McGee, T. J. | Journal: Atmos. Chem. Phys | Volume: 22 | Year: 2022 | First page: 11137 | Last page: 11153 | doi: 10.5194/acp-22-11137-2022

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3. Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.

   Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus...

   Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980

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4. Benchmarking the vertically integrated ice-sheet model IMAU-ICE (version 2.0)

   Ice-dynamical processes constitute a large uncertainty in future projections of sea-level rise ca...

   Berends, C. J. and Goelzer, H. and Reerink, T. J. and Stap, L. B. and van de Wal, R. S. W. | Journal: Geoscientific Model Development | Volume: 15 | Year: 2022 | First page: 5667 | Last page: 5688 | doi: https://doi.org/10.5194/gmd-15-5667-2022

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5. A protocol for probabilistic extreme event attribution analyses

   Over the last few years, methods have been developed to answer questions on the effect of global ...

   SY Philip, SF Kew, GJ van Oldenborgh, FEL Otto, R Vautard, K van der Wiel, A King, F Lott, J Arrighi, R Singh, M van Aalst | Status: published | Journal: Adv. Stat. Clim. Meteorol. Oceanogr. | Volume: 6 | Year: 2020 | First page: 177 | Last page: 203 | doi: https://doi.org/10.5194/ascmo-6-177-2020

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