Modelling frontal discontinuities in wind fields


A Bayesian procedure for the retrieval of wind vectors over the ocean using satellite borne scatterometers requires realistic prior near-surface wind field models over the oceans. We have implemented carefully chosen vector Gaussian Process models; however in some cases these models are too smooth to reproduce real atmospheric features, such as fronts. At the scale of the scatterometer observations, fronts appear as discontinuities in wind direction. Due to the nature of the retrieval problem a simple discontinuity model is not feasible, and hence we have developed a constrained discontinuity vector Gaussian Process model which ensures realistic fronts. We describe the generative model and show how to compute the data likelihood given the model. We show the results of inference using the model with Markov Chain Monte Carlo methods on both synthetic and real data.

Publication DOI:
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: This is an electronic version of an article published in Cornford, Dan; Nabney, Ian T. and Williams, Christopher K. I. (2002). Modelling frontal discontinuities in wind fields. Journal of Nonparametric Statistics, 14 (1-2), pp. 43-58. Journal of Nonparametric Statistics is available online at:
Uncontrolled Keywords: Gaussian processes,Discontinuities,Wind fields,Fronts
Publication ISSN: 1029-0311
Last Modified: 15 Jul 2024 07:01
Date Deposited: 14 Sep 2009 15:33
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL) ... ue=1-2&spage=43 (Publisher URL)
PURE Output Type: Article
Published Date: 2002
Authors: Cornford, Dan (ORCID Profile 0000-0001-8787-6758)
Nabney, Ian T. (ORCID Profile 0000-0003-1513-993X)
Williams, Christopher K. I.



Version: Published Version

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