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1. NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities

   NRLMSIS® 2.0 is an empirical atmospheric model that extends from the ground to the exobase and de...

   JT Emmert, E Doornbos | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2020EA001321

   Publication

2. The role of spatial and temporal model resolution in a flood event storyline approach in western Norway

   We apply a physical climate storyline approach to an autumn flood event in the West Coast of Norw...

   N Schaller, J Sillmann, M Muller, R Haarsma, W Hazeleger, TJ Hegdahl, T Kelder, G vd Oord, A Weerts, KRP Whan | Status: published | Journal: Weather and Climate Extremes | Volume: 29 | Year: 2020 | doi: 10.1016/j.wace.2020.100259

   Publication

3. Boreal-winter teleconnections with tropical Indo-Pacific rainfall in HighResMIP historical simulations from the PRIMAVERA project

   This study investigates how teleconnections linking tropical rainfall anomalies and wintertime ci...

   F Molteni, CD Roberts, R Senan, SPE Keeley, A Bellucci, S Corti, RF Franco, R Haarsma, X Levine, D Putrasahan, MJ Roberts, L Teray | Status: published | Journal: Clim. Dyn. | Year: 2020 | doi: 10.1007/s00382-020-05358-4

   Publication

4. Future changes in atmospheric rivers and extreme precipitation in Norway

   Flooding events associated with extreme precipitation have had large impacts in Norway. It is wel...

   K Whan, J Sillmann, N Schaller, R Haarsma | Status: published | Journal: Clim. Dyn. | Year: 2020 | doi: https://doi.org/10.1007/s00382-019-05099-z

   Publication

5. Generation of a global synthetic tropical cyclone hazard dataset using STORM

   Over the past few decades, the world has seen substantial tropical cyclone (TC) damages, with the...

   N Bloemendaal, ID Haigh, H de Moel, S Muis, R Haarsma, JCJH Aerts | Status: published | Journal: Nature Scientific Data | Year: 2020 | doi: 10.1038/s41597-020-0381-2

   Publication