Projected Future Changes in Tropical Cyclones Using the CMIP6 HighResMIP Multimodel Ensemble

@article{Roberts2020ProjectedFC,
  title={Projected Future Changes in Tropical Cyclones Using the CMIP6 HighResMIP Multimodel Ensemble},
  author={Malcolm John Roberts and Joanne Camp and Jon Seddon and Pier Luigi Vidale and Kevin I. Hodges and Beno{\^i}t Vanni{\`e}re and Jennifer V. Mecking and Reindert J. Haarsma and Alessio Bellucci and Enrico Scoccimarro and Louis‐Philippe Caron and Fabrice Chauvin and Laurent Terray and Sophie Valcke and M. P. Moine and Dian Ariyani Putrasahan and Christopher D. Roberts and Retish Senan and Colin M. Zarzycki and Paul Aaron Ullrich and Yohei Yamada and Ryo Mizuta and Chihiro Kodama and Dan Fu and Qiuying Zhang and Gokhan Danabasoglu and Nan A. Rosenbloom and Hong Wang and Lixin Wu},
  journal={Geophysical Research Letters},
  year={2020},
  volume={47}
}
Future changes in tropical cyclone properties are an important component of climate change impacts and risk for many tropical and midlatitude countries. In this study we assess the performance of a multimodel ensemble of climate models, at resolutions ranging from 250 to 25 km. We use a common experimental design including both atmosphere‐only and coupled simulations run over the period 1950–2050, with two tracking algorithms applied uniformly across the models. There are overall improvements… 
Extratropical transition of tropical cyclones in a multiresolution ensemble of atmosphere-only and fully coupled global climate models
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European Windstorm Risk of Post‐Tropical Cyclones and the Impact of Climate Change
  • R. Haarsma
  • Environmental Science
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Sainsbury et al. (2020, https://doi.org/10.1029/2020GL089853) highlighted the fact that although post‐tropical cyclones only consist of a small part of the cyclones impacting Northern Europe (∼1%)
EARLY ONLINE RELEASE
11 To understand the impacts of global warming on tropical cyclones (TCs) in 12 midlatitude regions, dynamical downscaling experiments were performed using a 13 4-km-mesh regional model with a
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