Articles | Volume 3, issue 3
https://doi.org/10.5194/wcd-3-905-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-3-905-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Summertime Rossby waves in climate models: substantial biases in surface imprint associated with small biases in upper-level circulation
Institute for Environmental Studies (IVM), VU University Amsterdam,
Amsterdam, the Netherlands
Weather and Climate models (RDWK), Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Frank Selten
Weather and Climate models (RDWK), Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Kathrin Wehrli
Department of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Kai Kornhuber
Earth Institute, Columbia University, New York, United States
Lamont-Doherty Earth Observatory, Columbia University, New York, NY, United States
Philippe Le Sager
Weather and Climate models (RDWK), Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Wilhelm May
Centre for Environmental and Climate Science (CEC), Lund University, Lund, Sweden
Thomas Reerink
Weather and Climate models (RDWK), Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Sonia I. Seneviratne
Department of Environmental Systems Science, Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Hideo Shiogama
Center for Global Environmental Research, National Institute for
Environmental Studies, Tsukuba, Japan
Daisuke Tokuda
Moon Soul Graduate School of Future Strategy, Korea Advanced Institute of Science and Technology, Daejeon, Korea
Hyungjun Kim
Moon Soul Graduate School of Future Strategy, Korea Advanced Institute of Science and Technology, Daejeon, Korea
Department of Civil and Environmental Engineering, Korea Advanced
Institute of Science and Technology, Daejeon, Korea
Institute of Industrial Science, University of Tokyo, Tokyo, Japan
Dim Coumou
Institute for Environmental Studies (IVM), VU University Amsterdam,
Amsterdam, the Netherlands
Weather and Climate models (RDWK), Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
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Cited
8 citations as recorded by crossref.
- Increased projected changes in quasi-resonant amplification and persistent summer weather extremes in the latest multimodel climate projections S. Guimarães et al. 10.1038/s41598-024-72787-0
- Heat Waves: Physical Understanding and Scientific Challenges D. Barriopedro et al. 10.1029/2022RG000780
- The ExtremeX global climate model experiment: investigating thermodynamic and dynamic processes contributing to weather and climate extremes K. Wehrli et al. 10.5194/esd-13-1167-2022
- Early snowmelt and polar jet dynamics co-influence recent extreme Siberian fire seasons R. Scholten et al. 10.1126/science.abn4419
- Extreme weather in a changing climate G. Capua & S. Rahmstorf 10.1088/1748-9326/acfb23
- Upstream influence of midlatitude jet stream biases in boreal summer L. Boljka et al. 10.1002/asl.1272
- Risks of synchronized low yields are underestimated in climate and crop model projections K. Kornhuber et al. 10.1038/s41467-023-38906-7
- Heat Extremes Driven by Amplification of Phase‐Locked Circumglobal Waves Forced by Topography in an Idealized Atmospheric Model B. Jiménez‐Esteve et al. 10.1029/2021GL096337
6 citations as recorded by crossref.
- Increased projected changes in quasi-resonant amplification and persistent summer weather extremes in the latest multimodel climate projections S. Guimarães et al. 10.1038/s41598-024-72787-0
- Heat Waves: Physical Understanding and Scientific Challenges D. Barriopedro et al. 10.1029/2022RG000780
- The ExtremeX global climate model experiment: investigating thermodynamic and dynamic processes contributing to weather and climate extremes K. Wehrli et al. 10.5194/esd-13-1167-2022
- Early snowmelt and polar jet dynamics co-influence recent extreme Siberian fire seasons R. Scholten et al. 10.1126/science.abn4419
- Extreme weather in a changing climate G. Capua & S. Rahmstorf 10.1088/1748-9326/acfb23
- Upstream influence of midlatitude jet stream biases in boreal summer L. Boljka et al. 10.1002/asl.1272
2 citations as recorded by crossref.
- Risks of synchronized low yields are underestimated in climate and crop model projections K. Kornhuber et al. 10.1038/s41467-023-38906-7
- Heat Extremes Driven by Amplification of Phase‐Locked Circumglobal Waves Forced by Topography in an Idealized Atmospheric Model B. Jiménez‐Esteve et al. 10.1029/2021GL096337
Latest update: 20 Nov 2024
Short summary
Recent studies have identified the weather systems in observational data, where wave patterns with high-magnitude values that circle around the whole globe in either wavenumber 5 or wavenumber 7 are responsible for the extreme events. In conclusion, we find that the climate models are able to reproduce the large-scale atmospheric circulation patterns as well as their associated surface variables such as temperature, precipitation, and sea level pressure.
Recent studies have identified the weather systems in observational data, where wave patterns...