The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Physics of Changes in Synoptic Midlatitude Temperature Variability
Abstract
This paper examines the physical processes controlling how synoptic midlatitude temperature variability near the surface changes with climate. Because synoptic temperature variability is primarily generated by advection, it can be related to mean potential temperature gradients and mixing lengths near the surface. Scaling arguments show that the reduction of meridional potential temperature gradients that accompanies polar amplification of global warming leads to a reduction of the synoptic temperature variance near the surface. This is confirmed in simulations of a wide range of climates with an idealized GCM. In comprehensive climate simulations (CMIP5), Arctic amplification of global warming similarly entails a large-scale reduction of the near-surface temperature variance in Northern Hemisphere midlatitudes, especially in winter. The probability density functions of synoptic near-surface temperature variations in midlatitudes are statistically indistinguishable from Gaussian, both in reanalysis data and in a range of climates simulated with idealized and comprehensive GCMs. This indicates that changes in mean values and variances suffice to account for changes even in extreme synoptic temperature variations. Taken together, the results indicate that Arctic amplification of global warming leads to even less frequent cold outbreaks in Northern Hemisphere winter than a shift toward a warmer mean climate implies by itself.
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Citations
Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century
Meehl, G. A., & Tebaldi, C. (2004) · Science · doi:10.1126/science.1098704 · Cited by 4,322
RCP 8.5—A scenario of comparatively high greenhouse gas emissions
Riahi, K., Rao, S., Krey, V., Cho, C., Chirkov, V., Fischer, G., Kindermann, G., Nakicenovic, N., & Rafaj, P. (2011) · Climatic Change · doi:10.1007/s10584-011-0149-y · Cited by 2,791
Understanding the varied response of the extratropical storm tracks to climate change
O’Gorman, P. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011547107 · Cited by 173
A robust increase in the eddy length scale in the simulation of future climates
Kidston, J., Dean, S. M., Renwick, J. A., & Vallis, G. K. (2010) · Geophysical Research Letters · doi:10.1029/2009gl041615 · Cited by 70 · cited 1×
“For example, if higher-order terms involving higher derivatives of the mean potential temperature need to be considered in the expansion (1), non-Gaussian statistics can arise through the terms that are nonlinear in h (Kimura and Kraichnan 1993).”
Background
Cited by
Ubiquity of human-induced changes in climate variability
Rodgers, K. B., Lee, S.-S., Rosenbloom, N., Timmermann, A., Danabasoglu, G., Deser, C., Edwards, J., Kim, J.-E., Simpson, I. R., Stein, K., et al. (2021) · Earth System Dynamics · doi:10.5194/esd-12-1393-2021 · Cited by 544
Climate models predict increasing temperature variability in poor countries
Bathiany, S., Dakos, V., Scheffer, M., & Lenton, T. M. (2018) · Science Advances · doi:10.1126/sciadv.aar5809 · Cited by 479
Analog forecasting of extreme-causing weather patterns using deep learning
Chattopadhyay, A., Nabizadeh, E., & Hassanzadeh, P. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001958 · Cited by 224
Metadata
- Authors
- Schneider, T., Bischoff, T., & Płotka, H.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2015-03-13
- Volume
- 28
- Issue
- 6
- Pages
- 2312-2331
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2065042684
- Cited by
- 202
- References
- 5
- FWCI
- 13.30
- Type
- journal article
- Language
- en
- Open access
- closed
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