Neil Massey

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Neil Massey


I currently hold a joint appointment with Atmospheric Oceanic and Planetary Physics (AOPP) and the Smith School of Enterprise and the Environment (SSEE).

I have been associated with the project for over 7 years, as both a researcher and a DPhil. student.

My main research interests include probabilistic event attribution, including using forecast verification methods to validate climate models for use in such studies; distributed computing for climate models; feature tracking in meteorological data and applying novel computing methods to modelling and data analysis.

  • Have the odds of warm November temperatures and of cold December temperatures in Central England changed?
    Bulletin of the American Meteorological Society, July 2012.
    N. Massey, T. Aina, C. Rye, F. E. L. Otto, S. 13 Wilson, R. G. Jones and M. R. Allen, 2012.

  • Did human influence on climate make the 2011 Texas drought more probable?
    Bulletin of the American Meteorological Society, July 2012.
    David E. Rupp, Philip W. Mote, Neil Massey, Cameron J. Rye, Richard Jones and Myles R. Allen, 2012.

  • Feature tracking on the hierarchical equal area triangular mesh.
    Computers & Geosciences, Volume 44, July 2012, Pages 42–51.
    N Massey, 2012.

  • Broad range of 2050 warming from an observationally constrained large climate model ensemble.
    Nature Geoscience 5 (2012) 256-260.
    DJ Rowlands, DJ Frame, D Ackerley, T Aina, BBB Booth, C Christensen, M Collins, N Faull, CE Forest, BS Grandey, E Gryspeerdt, EJ Highwood, WJ Ingram, S Knight, A Lopez, N Massey, F McNamara, N Meinshausen, C Piani, SM Rosier, BM Sanderson, LA Smith, DA Stone, M Thurston, K Yamazaki, Y Hiro Yamazaki, MR Allen, 2012.

  • Reconciling two approaches to attribution of the 2010 Russian heat wave.
    Geophys. Res. Lett., 39, L04702, doi:10.1029/2011GL050422.
    Otto, F. E. L., N. Massey, G. J. van Oldenborgh, R. G. Jones, and M. R. Allen, 2012.

  • Association of parameter, software and hardware variation with large scale behavior across 57,000 climate models
    PNAS, July 2007
    Knight C.G., Knight S.H.E., Massey N., Aina T., Christensen C., Frame D.J., Kettleborough J.A., Martin A., Pascoe S., Sanderson B., Stainforth D.A., and Allen M.R., 2007

  • Data access and analysis with distributed federated data servers in
    Advances in Geoscience, 8, 49-56.
    Massey, N., T. Aina, M. R. Allen, C. Christensen, D. Frame, D. Goodman, J. Kettleborough, A. Martin, S. Pascoe, and D. Stainforth, 2006.

As part of my DPhil. work, I developed a suite of programs that:

  • Generates an equal area and hierarchical triangular mesh that fills the unit sphere
  • Regrids gridded climate model or reanalysis data to the triangular mesh
  • Identifies feature points in the regridded data and expands these points to represent feature objects
  • Tracks these feature objects as they evolve over subsequent timesteps.

Shown below is a sequence of images showing the algorithms at work on some ERA-40 data for December 1960.
They shown the identification, and evolution of low pressure systems as they track across the North Atlantic.

The algorithms are documented in Massey (2012), which can be found in the July 2012 edition of Computers and Geosciences, here:
Massey (2012) - Feature tracking on the hierarchical equal area triangular mesh