SOC: Robin Hankin

SOC: Robin Hankin

^{Robin
Hankin: Laboratory for Satellite Oceanography}

Contact Information Dr Robin K. S. Hankin James Rennell Division for Ocean Circulation and Climate Southampton Oceanography Centre SO14 3ZH Southampton, U.K. Phone: +44-(0)23 8059 7743 (internal extension: 27743) Fax: +44-(0)23 8059 6400 Email: r_DOT_hankin_AT_soc.soton.ac.uk Satellite oceanography at SOC
Research Interests Bayesian uncertainty analysis in climate prediction See The Tyndall Centre for details. Emulators as a fast approximation to computationally expensive models. Coworkers include Jonty Rougier and Tony O'Hagan
Recent publications Robin Hankin, 2004. Major hazard risk assessment over non-flat terrain. Part I: continuous releases. Atmospheric environment, 38:695-705. Robin Hankin, 2004. Major hazard risk assessment over non-flat terrain. Part II: instantaneous releases. Atmospheric environment, 38:695-705. Robin Hankin, 2003. Heavy gas dispersion: integral models and shallow layer models. Journal of Hazardous materials, A103:1-10 Robin Hankin, 2003. Risk assessment of major hazards: the effect of ground slope. Journal of Loss prevention in the process industries, 16:305-311 Michael Coster and Robin Hankin, 2003. Risk assessment of antagonistic Hazards Journal of Loss prevention in the process industries, 16:545-550 Neil Mitchell, Peter Espie, and Robin Hankin, 2004. Rational landscape decision-making: the use of meso-scale climatic analysis to promote sustainable land management Landscape and Urban Planning, 67:131-140 Robin Hankin, 2003. Shallow layer simulation of heavy gas released on a slope in a calm ambient. Part I. Continuous releases. Journal of Hazardous materials, A103:205-215 Robin Hankin, 2003. Shallow layer simulation of heavy gas released on a slope in a calm ambient. Part II. Instantaneous releases. Journal of Hazardous materials, A103:217-229 In the review process Robin Hankin and Alan Lee, 2004. A new family of non-negative distributions. Currently under review at the Australian and New Zealand Journal of Statistics R software R is an open-source data manipulation package available for download here. A suite of Bayesian emulator R software is available here and a suite of Bayesian calibration software is available here. Econometric analysis software is available here.