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Using Spatio-temporal Feature Type Structures for Coupling Environmental Numerical Models to Each Other and to Data Sources

Harpham, Quillon (2019). Using Spatio-temporal Feature Type Structures for Coupling Environmental Numerical Models to Each Other and to Data Sources. PhD thesis. The Open University.

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Abstract

The aim of this research is to facilitate the interaction of data between different environmental numerical models and between numerical models and observed data sources, thereby giving rise to more accurate simulations involving a variety of environmental phenomena. The thesis includes ten publications. The first gives an overall context to the field of integrated environmental modelling, which seeks increased interoperability and extensibility between numerical models and data sources. This is followed by a series of four papers introducing and discussing associated enabling technologies: the development of a web portal for the display and comparison of model and in-situ marine data; the FluidEarth 2 implementation of the OpenMI 2.0 standard passing data between models in spatio-temporal structures aggregated from lower level component parts; an extension of the ISO19115 metadata standard to provide aspects related to model coupling; and the Model MAP – a set of necessary concepts for numerical models to be coupled together. These technologies are then applied in a series of papers describing the DRIHM e-Infrastructure for research into hydro-meteorology. These papers focus on the meteorological aspects; the user interface; the back-end computing infrastructures; and two key integrating technologies with an applied example. The final paper gives another example of the use of spatio-temporal feature type structures as part of a new numerical modelling technology.

Overall, this series of papers points towards a structured representation of the data supporting environmental numerical models in terms of the underlying spatio-temporal characteristics. This suggests the adoption of a new vocabulary for describing these characteristics. Adoption of this vocabulary and new representation of environmental modelled data will speed the uptake of coupling strategies and create demand for established and new standards to support integrated environmental modelling.

Item Type: Thesis (PhD)
Copyright Holders: 2018 The Author
Extra Information: Publications:

From integration to fusion: the challenges ahead
J. Sutherland, I. H. Townend, Q. K. Harpham and G. R. Pearce
Geological Society, London, Special Publications, 408, 35-54, 1 December 2014,
https://doi.org/10.1144/SP408.6

An ECOOP web portal for visualising and comparing distributed coastal oceanography model and in situ data
A. L. Gemmell, R. M. Barciela, J. D. Blower, K. Haines, Q. Harpham, K. Millard, M. R. Price, and A. Saulter
Ocean Science, 7, 445–454, 2011
http://dx.doi.org/10.5194/os-7-445-2011

The FluidEarth 2 implementation of OpenMI 2.0
Quillon Harpham ; Paul Cleverley ; David Kelly
Journal of Hydroinformatics (2014) 16 (4): 890-906.
https://doi.org/10.2166/hydro.2013.190

Towards standard metadata to support models and interfaces in a hydro-meteorological model chain
Quillon Harpham ; Emanuele Danovaro
Journal of Hydroinformatics (2015) 17 (2): 260-274.
https://doi.org/10.2166/hydro.2014.061

Using a Model MAP to prepare hydro-meteorological models for generic use
Quillon Harpham
Environmental Modelling & Software 73 (2015) 260-27
https://doi.org/10.1016/j.envsoft.2015.08.007

DRIHM(2US): An e-Science Environment for Hydrometeorological Research on High-Impact Weather Events
Antonio Parodi, Dieter Kranzlmuller, Andrea Clematis, Emanuele Danovaro, Antonella Galizia and Luis Garrote
Bulletin of the American Meteorological Society(Vol. 98, Issue 10.)
http://dx.doi.org/10.1175/BAMS-D-16-0279.1

The DRIHM Project: a Flexible Approach to Integrate HPC, Grid and Cloud Resources for Hydro-Meteorological Research
Daniele D’Agostino, Andrea Clematis, Antonella Galizia, Alfonso Quarati, Emanuele Danovaro, Luca Roverelli, Gabriele Zereik, Dieter Kranzlmüller, Michael Schiffers, Nils gentschen Felde, Christian Straube, Olivier Caumont, Evelyne Richard, Luis Garrote, Quillon Harpham, H.R.A. Jagers, Vladimir Dimitrijević, Ljiljana Dekić, Elisabetta Fiori, Fabio Delogu and Antonio Parodi
SC14: International Conference for High Performance Computing, Networking, Storage and Analysis, New Orleans, LA – 16 - 21 November 2014
http://dx.doi.org/10.1109/SC.2014.49

Using OpenMI and a Model MAP to Integrate WaterML2 and NetCDF Data Sources into Flood Modeling of Genoa, Italy
Quillon Harpham, Julien Lhomme, Antonio Parodi, Elisabetta Fiori, Bert Jagers, Antonella Galizia
JAWRA Journal of the American Water Resources Association, Volume 52, Issue 4, August 2016, Pages 933-949
http://dx.doi.org/10.1111/1752-1688.12418

A Bayesian method for improving probabilistic wave forecasts by weighting ensemble members
Quillon Harpham, Nigel Tozer, Paul Cleverley, David Wyncoll, Doug Cresswell
Environmental Modelling & Software, Volume 84, October 2016, Pages 482-493
http://dx.doi.org/10.1016/j.envsoft.2016.07.015
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Associated Research Centre: HR Wallingford Ltd
Item ID: 62783
Depositing User: Quillon Harpham
Date Deposited: 16 Aug 2019 08:28
Last Modified: 23 Jan 2020 20:20
URI: http://oro.open.ac.uk/id/eprint/62783
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