Quillon Harpham

发表

Towards standard metadata to support models and interfaces in a hydro-meteorological model chain

Quillon Harpham, Emanuele Danovaro, 2015 .

DRIHM: Distributed Research Infrastructure for Hydro-Meteorology

Quillon Harpham, Emanuele Danovaro, Andrea Clematis, 2012, 2012 7th International Conference on System of Systems Engineering (SoSE).

The FluidEarth 2 implementation of OpenMI 2.0

Quillon Harpham, Paul Cleverley, David M. Kelly, 2014 .

The DRIHM Project: A Flexible Approach to Integrate HPC, Grid and Cloud Resources for Hydro-Meteorological Research

Quillon Harpham, Emanuele Danovaro, Andrea Clematis, 2014, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis.

Using OpenMI and a Model MAP to Integrate WaterML2 and NetCDF Data Sources into Flood Modeling of Genoa, Italy

Quillon Harpham, Julien Lhomme, Antonella Galizia, 2016 .

A Bayesian method for data assimilation in probabilistic wave forecasting

Quillon Harpham, Paul Cleverley, David Wyncoll, 2016 .

Selection and integration of earth observation-based data for an operational disease forecasting system

Quillon Harpham, Sajni Malde, Darren Lumbroso, 2020 .

Corrigendum to "Using a model MAP to prepare hydro-meteorological models for generic use" [Environ. Model. Softw. 73 (2015) 260-271]

Quillon Harpham, 2016, Environ. Model. Softw..

Towards an interoperable and distributed e-Infrastructure for Hydro-Meteorology: the DRIHM project

Quillon Harpham, Emanuele Danovaro, Andrea Clematis, 2014 .

Using a Model MAP to prepare hydro-meteorological models for generic use

Quillon Harpham, 2015, Environ. Model. Softw..

Deconfliction and Surface Generation from Bathymetry Data Using LR B-splines pdf

Quillon Harpham, Heidi E. I. Dahl, Vibeke Skytt, 2016, MMCS.

Position paper: Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications

Anthony J. Jakeman, Alexey Voinov, Quillon Harpham, 2020, Earth-Science Reviews.

Introductory overview: The OpenMI 2.0 standard for integrating numerical models

Quillon Harpham, Andrew Hughes, R. V. Moore, 2019, Environ. Model. Softw..

Interoperability in physical model testing

Quillon Harpham, James Sutherland, 2018 .

Using spatio-temporal feature type structures for coupling environmental numerical models to each other and to data sources

Quillon Harpham, 2019 .

The IQmulus high volume fusion and analysis platform for Geospatial Point Clouds, featuring a marine bathymetry use case

Quillon Harpham, 2016, 2016 IEEE 12th International Conference on e-Science (e-Science).

A stakeholder consultation into hydro-meteorological e-science environments

Quillon Harpham, Daniele D'Agostino, Antonio Parodi, 2017, Earth Science Informatics.

A Bayesian method for improving probabilistic wave forecasts by weighting ensemble members

Quillon Harpham, Paul Cleverley, David Wyncoll, 2016, Environ. Model. Softw..

Setting Up an Hydro-Meteo Experiment in Minutes: The DRIHM e-Infrastructure for HM Research

Quillon Harpham, Emanuele Danovaro, Andrea Clematis, 2014, 2014 IEEE 10th International Conference on e-Science.

R code for the paper "Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles"

Quillon Harpham, Rachel Lowe, Darren Lumbroso, 2021 .

Interoperability engine design for model sharing and reuse among OpenMI, BMI and OpenGMS-IS model standards

Quillon Harpham, Guonian Lü, Albert J. Kettner, 2021, Environ. Model. Softw..

DRIHM(2US): An e-Science Environment for Hydrometeorological Research on High-Impact Weather Events

Quillon Harpham, Emanuele Danovaro, Andrea Clematis, 2017 .

The European Marine Observation and Data Network (EMODnet): Visions and Roles of the Gateway to Marine Data in Europe

Quillon Harpham, Matteo Vinci, Simon Claus, 2019, Front. Mar. Sci..