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16 - Western North American extreme heat, associated large-scale synoptic-dynamics, and performance by a climate model

from Part IV - Heat waves and cold-air outbreaks

Published online by Cambridge University Press:  05 March 2016

Jianping Li
Affiliation:
Beijing Normal University
Richard Swinbank
Affiliation:
Met Office, Exeter
Richard Grotjahn
Affiliation:
University of California, Davis
Hans Volkert
Affiliation:
Deutsche Zentrum für Luft- und Raumfahrt eV (DLR)
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Publisher: Cambridge University Press
Print publication year: 2016

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References

Black, R. X. and Evans, K. J. (1998). The statistics and horizontal structure of anomalous weather regimes in the Community Climate Model. Monthly Weather Review, 126, 841859.2.0.CO;2>CrossRefGoogle Scholar
Bumbaco, K. A., Dello, K. D., and Bond, N. A. (2013). History of Pacific Northwest heat waves: synoptic pattern and trends. Journal of Applied Meteorology and Climatology, 52, 16181631.doi: http://dx.doi.org/10.1175/JAMC-D-12-094.1CrossRefGoogle Scholar
Dole, R. M. and Black, R. X. (1990). Life cycles of persistent anomalies. Part II: The development of persistent negative height anomalies over the North Pacific Ocean. Monthly Weather Review, 118, 824846.2.0.CO;2>CrossRefGoogle Scholar
Gent, P. R., Danabasoglu, G., Donner, L. J., et al. (2011). The Community Climate System Model Version 4. Journal of Climate, 24, 49734991. doi: http://dx.doi.org/10.1175/2011JCLI4083.1CrossRefGoogle Scholar
Gershunov, A., Cayan, D. R., and Iacobellis, S. F. (2009). The great 2006 heat wave over California and Nevada: Signal of an increasing trend. Journal of Climate 22, 61816203.CrossRefGoogle Scholar
Grotjahn, R. (2011). Identifying extreme hottest days from large scale upper air data: a pilot scheme to find California Central Valley summertime maximum surface temperatures. Climate Dynamics 37, 587604. DOI 10.1007/s00382-011-0999-zCrossRefGoogle Scholar
Grotjahn, R. and Faure, G. (2008). Composite predictor maps of extraordinary weather events in the Sacramento, California, region. Weather and Forecasting, 23, 313335. doi: http://dx.doi.org/10.1175/2007WAF2006055.1CrossRefGoogle Scholar
Grotjahn, R. (2013). Ability of CCSM4 to simulate California extreme heat conditions from evaluating simulations of the associated large scale upper air pattern. Climate Dynamics 41, 11871197. doi:10.1007/s00382-013-1668-1CrossRefGoogle Scholar
Grotjahn, R., Black, R., Leung, R., et al. (2015). North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends. Climate Dynamics doi:10.1007/s00382-015-2638-6.CrossRefGoogle Scholar
Kanamitsu, M., Ebisuzaki, W., Woollen, J., et al. (2002). NCEP-DOE AMIP-II reanalysis (R-2). Bulletin of the American Meteorological Society, 83, 16311643.CrossRefGoogle Scholar
Karl, T. R. and Quayle, R. G. (1981). The 1980 summer heat wave and drought in historical perspective. Monthly Weather Review, 109, 20552073. doi: http://dx.doi.org/10.1175/1520-0493(1981)109<2055:TSHWAD>2.0.CO;22.0.CO;2>CrossRefGoogle Scholar
Moss, R., Babiker, M., Brinkman, S., et al. (2008). Towards New Scenarios for Analysis of Emissions, Climate Change, Impacts, and Response Strategies. Intergovernmental Panel on Climate Change, Geneva, 132 pp.Google Scholar
Namias, J. (1982). Anatomy of Great Plains protracted heat waves (especially the 1980 U.S. summer drought). Monthly Weather Review, 110, 824838. doi: http://dx.doi.org/10.1175/1520-0493(1982)110<0824:AOGPPH>2.0.CO;22.0.CO;2>CrossRefGoogle Scholar
Trenberth, K. E. (1986). An assessment of the impact of transient eddies on the zonal flow during a blocking episode using localized Eliassen–Palm flux diagnostics. Journal of the Atmospheric Sciences, 43, 20702087.2.0.CO;2>CrossRefGoogle Scholar

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