Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-17T17:19:56.605Z Has data issue: false hasContentIssue false

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)
Get access
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2016

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×