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Dr Antje Weisheimer (she)

Principal NCAS Research Fellow

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Predictability of weather and climate
Antje.Weisheimer@physics.ox.ac.uk
Telephone: 01865 (2)82441
Robert Hooke Building, room S37
ECMWF
NCAS
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Warming Stripes for Oxford from 1814-2019

Warming Stripes for Oxford from 1814-2019.

Seasonal Forecast Datasets - A resource for Calibrating Regional Climate Change Projections?

CLIVAR Exchanges 43 (2007) 6-7

Authors:

TN Palmer, FJ Doblas-Reyes, A Weisheimer, M Rodwell

Erratum: "Changing frequency of occurrence of extreme seasonal temperatures under global warming" (Geophysical Research Letters (2005) vol. 32 10.1029/2005GL023365)

Geophysical Research Letters 33:7 (2006)

Authors:

A Weisheimer, TN Palmer
More details from the publisher

Changing frequency of occurrence of extreme seasonal temperatures under global warming (vol 32, art no L20721, 2005)

GEOPHYSICAL RESEARCH LETTERS 33:7 (2006) ARTN L07712

Authors:

A Weisheimer, TN Palmer
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Probabilistic prediction of climate using multi-model ensembles: from basics to applications.

Philos Trans R Soc Lond B Biol Sci 360:1463 (2005) 1991-1998

Authors:

TN Palmer, FJ Doblas-Reyes, R Hagedorn, A Weisheimer

Abstract:

The development of multi-model ensembles for reliable predictions of inter-annual climate fluctuations and climate change, and their application to health, agronomy and water management, are discussed.
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Changing frequency of occurrence of extreme seasonal temperatures under global warming

Geophysical Research Letters 32:20 (2005) 1-5

Authors:

A Weisheimer, TN Palmer

Abstract:

Using a multi-model multi-scenario ensemble of integrations made for the forthcoming fourth assessment report of the Intergovernmental Panel on Climate Change, the frequency of occurrence of extreme seasonal temperatures at the end of the 21st Century is estimated. In this study an extreme temperature is defined as lying above the 95 percentile of the simulated temperature distribution for 20th Century climate. The model probability of extreme warm seasons is heterogeneous over the globe and rises to over 90% in large parts of the tropics. This would correspond to an average return period of such anomalous warm seasons of almost one year. The reliability of these results is assessed using the bounding box technique, previously used to quantify the reliability of seasonal climate forecasts. It is shown that the dramatic increase in extreme warm seasons arises from the combined effect of a shift and a broadening of the temperature distributions. Copyright 2005 by the American Geophysical Union.
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