Quantifying the effects of perturbing the physics of an interactive sulfur scheme using an ensemble of GCMs on the climateprediction.net platform
D. Ackerley, E.J. Highwood & D.J. Frame
Observational constraints on future climate: distinguishing robust from model-dependent statements of uncertainty in climate forecasting
Extended abstract of a talk for the Intergovernmental Panel on Climate Change Workshop on Uncertainty and Risk, Maynooth, Ireland, 12 to 14 May, 2004. Download pdf (140 KB)
The Blame Game – who will pay for the damaging consequences of climate change?
M.R. Allen & R. Lord
Nature, 432, 551–552, December 2004. Download pdf (290 KB)
Liability for climate change
Nature, 421, 891–892, February 2003. Liability for climate change (140 KB)
Model error in weather and climate forecasting
M.R. Allen, J. Kettleborough & D. Stainforth
Proceedings of the 2002 ECMWF Predictability Seminar, European Centre for Medium Range Weather Forecasting, Reading, UK, 275–294. Download pdf (120 KB)
Do it yourself climate prediction
Nature, 401, 642, October 1999. Download pdf (50 KB)
Constraints on future changes in climate and the hydrologic cycle
M.R. Allen, W. Ingram & D. Stainforth
Nature Insight article, Nature, 419, 224–232, 12 September 2002. Download pdf (210 KB)
Quantifying the uncertainty in forecasts of anthropogenic climate change
M.R. Allen, P. Stott, J. Mitchell, R. Schnur & T. Delworth
Nature, 407, 617–620, October 2000. Download pdf (130 KB)
The case for mandatory sequestration
M.R. Allen, D. Frame & C. Manson
Nature Geoscience 2, 813–814, December 2009. The case for mandatory sequestration abstract on Nature Geoscience website.
Call off the quest
M.R. Allen & D. Frame
Science, 26, 582–583, October 2007. Doi:10.1126/science.1149988. Download pdf (150 KB)
The weather@home regional climate modelling project for Australia and New Zealand
Black, M. T., Karoly, D. J., Rosier, S. M., Dean, S. M., King, A. D., Massey, N. R., Sparrow, S. N., Bowery, A., Wallom, D., Jones, R. G., Otto, F. E. L., and Allen, M. R
Geoscientific Model Development; Katlenburg-Lindau9.9 (2016): 3161-3176.
Climate change was an important driver of southern Australia’s warmest October on record
Black, M.T., and D. J. Karoly
[in “Explaining Extremes of 2015 from a Climate Perspective”]. Bull. Am. Met. Soc., 97, S118-S121. DOI: http://dx.doi.org/10.1175/BAMS-D-16-0124.1
Assessing the relative roles of initial and boundary conditions in interannual to decadal climate predictability
M. Collins & M.R. Allen
Journal of Climate, 15 (21), 3104–3109, November 2002. Download pdf (140 KB)
How far ahead could we predict El Nino?
M. Collins, D. Frame, B. Sinha & C. Wilson
Geophysical Research Letters, 29, 10:1492, 31 May 2002. Download pdf (180 KB)
Ensembles and probabilities: a new era in the prediction of climate change
Philosophical Transactions of the Royal Society A 365, 1471–2962, 2007. Download pdf (340 KB)
Climate predictability on Interannual to decadal time scales: the initial value problem
Climate Dynamics, 19 (8), 671–692, 18 March 2002. Download pdf (1.8 MB)
Constraining climate model properties using optimal fingerprint detection methods
C. Forest, M.R. Allen, A. Sokolov & P. Stone
Climate Dynamics, 18, 277–295, 2001. Doi 10.1007/s003820100175. Constraining climate model properties using optimal fingerprint detection methods abstract on Springer Link website.
Detecting change in UK extreme precipitation using results from the climateprediction.net BBC climate change experiment
H. Fowler, D. Cooley, S. Sain & M. Thurston
Extremes, 13 (2) 241–267, 2010. Doi:10.1007/s10687-010-0101-y. Detecting change in UK extreme precipitation using results from the climateprediction.net BBC climate change experiment abstract on Springer Link website.
Probabilistic climate forecasts and inductive problems
D. Frame, N. Faull, M. Joshi & M.R. Allen
Philosophical Transactions of the Royal Society A, 365, 15 August 2007. Doi: 10.1098/rsta.2007.2069. Probabilistic climate forecasts and inductive problems on Royal Society website.