2024-11-01 Tags: published research meteorology post-processing
Belinda Trotta, Benjamin Owen, Jiaping Liu, Gary Weymouth, Thomas Gale, Timothy Hume, Anja Schubert, James Canvin, Daniel Mentiplay, Jennifer Whelan, Robert Johnson Weather and Forecasting Published: 1 November 2024 https://journals.ametsoc.org/view/journals/wefo/39/11/WAF-D-23-0211.1.xml https://doi.org/10.1175/WAF-D-23-0211.1 Abstract Probabilistic forecasts derived from ensemble prediction systems (EPSs) have become the standard basis for many products and services produced by modern operational forecasting centers. However, statistical postprocessing is generally required to ensure forecasts have the desired properties expected for probability-based outputs. Read more...
2023-03-28 Tags: published research meteorology post-processing
Nigel Roberts, Benjamin Ayliffe, Gavin Evans, Stephen Moseley, Fiona Rust, Caroline Sandford, Tomasz Trzeciak, Paul Abernethy, Laurence Beard, Neil Crosswaite, Ben Fitzpatrick, Jonathan Flowerdew, Tom Gale, Leigh Holly, Aaron Hopkinson, Katharine Hurst, Simon Jackson, Caroline Jones, Ken Mylne, Christopher Sampson, Michael Sharpe, Bruce Wright, Simon Backhouse, Mark Baker, Daniel Brierley, Anna Booton, Clare Bysouth, Robert Coulson, Sean Coultas, Ric Crocker, Roger Harbord, Kathryn Howard, Teresa Hughes, Marion Mittermaier, Jon Petch, Tim Pillinger, Victoria Smart, Eleanor Smith, Mark Worsfold Read more...
2016-08-01 Tags: published research kidney complex physiology hpc gpu
University of Melbourne September 2016 https://minerva-access.unimelb.edu.au/handle/11343/132374 http://hdl.handle.net/11343/132374 Thesis (PDF, 11MB) Code (tar.gz, 140KB) Abstract Modelling of kidney physiology can contribute to understanding of kidney function by formalising existing knowledge into mathematical equations and computational procedures. Modelling in this way can suggest further research or stimulate theoretical development. The quantitative description provided by the model can then be used to make predictions and identify further areas for experimental or theoretical research, which can then be carried out, focusing on areas where the model and reality are different, creating an iterative process of improved understanding. Read more...
2015-03-23 Tags: published research psychology statistics publicgood
Daniel B. Shank, Yoshihisa Kashima, Saam Saber, Thomas Gale, Michael Kirley PloS One Published: 23 March 2015 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0120379 https://doi.org/10.1371/journal.pone.0120379 Abstract Empirical findings on public goods dilemmas indicate an unresolved dilemma: that increasing size—the number of people in the dilemma—sometimes increases, decreases, or does not influence cooperation. We clarify this dilemma by first classifying public goods dilemma properties that specify individual outcomes as individual properties (e.g., Marginal Per Capita Return) and group outcomes as group properties (e. Read more...