Items where Author is "Harpham, Q."

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Number of items: 21.

Article

Singh, S. and Chee Heng, L. and Hakim Sulaiman, L. and Fung Wong, S. and Jelip, J. and Mokhtar, N. and Harpham, Q. and Tsarouchi, G. and Singh Gill, B. (2022) The effects of meteorological factors on dengue cases in Malaysia. Int J Environ Res Public Health, 19 (11).

Colón-González, F. and Soares Bastos, L. and Hofmann, B. and Hopkin, A. and Harpham, Q. and Crocker, T. and Amato, R. and Ferrario, I. and Moschini, F. and James, S. and Malde, S. and Ainscoe, E. and Nam, V. and Tan, D. and Khoa, N. and Harrison, M. and Tsarouchi, G. and Lumbroso, D. and Brady, O. and Lowe, R. (2021) Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles. PLoS Med, 18 (3).

Harpham, Q. (2020) A simple taxonomy for describing the spatio-temporal structure of environmental modelling data. Environmental Modelling and Software, 133.

Chen, M. and Voinov, A. and Ames, D. and Kettner, A. and Goodall, J. and Jakeman, A. and Barton, M. and Harpham, Q. and Cuddy, S. and DeLuca, C. and Yue, S. and Wang, J. and Zhang, F. and Wen, Y. and Lu, G. (2020) Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications (Position paper). Earth-Science Reviews, 207.

Harpham, Q. and Hughes, A. and Moore, R. (2019) Introductory overview: The OpenMI 2.0 standard for integrating numerical models. Environmental Modelling & Software, 122.

Martín Míguez, B. and Harpham, Q. (2019) The European Marine Observation and Data Network (EMODnet): Visions and Roles of the Gateway to Marine Data in Europe. Frontiers in Marine Science.

Harpham, Q. and Gimeno, O. and Parodi, A. and D'Agostino, D. (2017) A stakeholder consultation into hydro-meteorological e-science environments. Earth Science Informatics, 10 (2). pp. 219-234.

Harpham, Q. and Lhomme, J. and Parodi, A. and Fiori, E. and Jagers, B. and Galizia, A. (2016) Using OpenMI and a Model MAP to integrate WaterML2 and NetCDF data sources into flood modelling of Genoa, Italy. Journal of the American water resources association, 52 (4). pp. 933-949.

Harpham, Q. and Tozer, N.P. and Cleverley, P. and Wyncoll, D. and Cresswell, D. (2016) A Bayesian method for improving probabilistic wave forecasts by weighting ensemble members. Environmental Modelling & Software, 84. pp. 482-493.

Harpham, Q. and Danovaro, E. (2015) Towards standard metadata to support models and interfaces in an hydro-meteorological model chain. Journal of Hydroinformatics, 17 (2). pp. 260-274.

Harpham, Q. and Cleverley, P. and Kelly, D.M. (2014) The FluidEarth 2 implementation of OpenMI 2.0. Journal of HydroInformatics, 16 (4). pp. 890-906.

Sutherland, J. and Townend, I. and Harpham, Q. and Pearce, G. (2014) From integration to fusion: the challenges ahead. Integrated Environmental Modelling to Solve Real World Problems: Methods, Visions and Challenges, Geological Society, London, Special Publications, 408.

Gemmell, A. and Barciela, R. and Blower, J. and Haines, K. and Harpham, Q. and Millard, T.K. and Price, M. and Saulter, A. (2011) An ECOOP web portal for visualising and comparing distributed coastal oceanography model and in situ data. Ocean Science, 7. pp. 445-454.

Conference or Workshop Item

Tsarouchi, G. and Lumbroso, D. and Hofmann, B. and Harpham, Q. (2020) The D-MOSS Dengue Fever Forecasting System. In: AGU Fall Meeting 2020, 1-17 December 2020, Online.

Hofmann, B. and Reece, S. and Harpham, Q. (2020) Impact Assessment of Major Flood Events on Agriculture and Infrastructure in Kerala, India from Remote Sensing Data. In: AGU Fall Meeting 2020, 1-17 December 2020, Online.

Ainscoe, E. and Hofmann, B. and Colon, F. and Ferrario, I. and Harpham, Q. and James, S. and Lumbroso, D. and Malde, S. and Moschini, F. and Tsarouchi, G. (2020) Selection and integration of earth observation-based data for an operational disease forecasting system. In: EGU General Assembly 2020, 4-8 May 2020, Online.

Ainscoe, E. and Hofmann, B. and Reece, S. and Harpham, Q. (2020) Using remote sensing to collect data on the impact of flooding on the built environment in Kerala, India. In: AGU Fall Meeting 2020, 1-17 December 2020, Online.

Sutherland, J. and Harpham, Q. (2018) Interoperability in physical model testing. In: Coastlab18 (7th International Conference on the Application of Physical Modelling in Coastal and Port Engineering and Science), 22-26 May, 2018, Santander, Spain.

Sutherland, J. and Awre, C. and Malvarez, G. and Van Gils, A. and Harpham, Q. (2017) Open data from physical model tests: Lessons learned from related initiatives. In: IAHR World Congress 2017, 13 - 18 August 2017, Kuala Lumpur, Malaysia.

Millard, T.K. and Atkinson, R. and Woolf, A. and Lowry, R. and Haaring, P. and Hernandez, F. and Hamre, T. and Pillich, D. and Bothien, H. and Vanden Berghe, W. and Johnson, I. and Matthews, B. and Dahlin, H. and Flemming, N. and Vladymyrov, V. and Meckenzie, B. and Edwards, A. and van der Hoeven, W. and Harpham, Q. and Ross, G. and Petersson, S. (2006) MarineXML – Have we achieved pre standardisation? In: EuroGOOS 2005, 6-9 June 2005, Brest, France.

Thesis

Harpham, Q. (2019) Using spatio-temporal feature type structures for coupling environmental numerical models to each other and to data sources. ["eprint_fieldopt_thesis_type_phd" not defined] thesis, The Open University.

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