The HadGEM2-ES implementation of CMIP5 centennial simulations
GEOSCIENTIFIC MODEL DEVELOPMENT 4:3 (2011) 543-570
The structure and evolution of the stratospheric vortex in response to natural forcings
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 116 (2011) ARTN D15110
Principles of Planetary Climate
Cambridge University Press (CUP), 2010
Atmospheric blocking and mean biases in climate models
Journal of Climate 23:23 (2010) 6143-6152
Abstract:
Models often underestimate blocking in the Atlantic and Pacific basins and this can lead to errors in both weather and climate predictions. Horizontal resolution is often cited as the main culprit for blocking errors due to poorly resolved small-scale variability, the upscale effects of which help to maintain blocks. Although these processes are important for blocking, the authors show that much of the blocking error diagnosed using common methods of analysis and current climate models is directly attributable to the climatological bias of the model. This explains a large proportion of diagnosed blocking error in models used in the recent Intergovernmental Panel for Climate Change report. Furthermore, greatly improved statistics are obtained by diagnosing blocking using climate model data corrected to account for mean model biases. To the extent that mean biases may be corrected in low-resolution models, this suggests that such models may be able to generate greatly improved levels of atmospheric blocking. © 2010 American Meteorological Society.Solar influences on climate
Reviews of Geophysics 48:4 (2010)