Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Seán Donegan"'
Autor:
Seán Donegan, Conor Murphy, Ciaran Broderick, Dáire Foran Quinn, Saeed Golian, Shaun Harrigan
Ensemble streamflow prediction (ESP) is a well-established and widely used approach to hydrological forecasting, the application of which requires a hydrological model that can contribute to forecast skill by providing: (i) accurate initial hydrologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c8a9f398649186618e0258b6aebb5ea
https://doi.org/10.5194/egusphere-egu22-12775
https://doi.org/10.5194/egusphere-egu22-12775
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Finding alloys with specific design properties is challenging due to the large number of possible compositions and the complex interactions between elements. This study introduces a multi-objective Bayesian optimization approach guiding mole
Externí odkaz:
https://doaj.org/article/84151a0e7249455f9cb54ba0a10aa2ad
Autor:
Seán Donegan, Sasha Brown, Louise Sarsfield Collins, Caspar Menkman, Simon Noone, Niamh Cantwell, Michael Murphy, Caoilfhionn D’Arcy, Dick Dee, Rowan Fealy, Christopher Phillips, Alison Brody, Peter Thorne, Rhonda McGovern, Martha Coleman, Martina Roche, Padraig Flattery
Publikováno v:
Geoscience Communication, Vol 2, Pp 157-171 (2019)
The Global Land and Marine Observations Database aims to produce a comprehensive land based meteorological data archive and inventory. This requires the compilation of available land-based station meteorological data information from all known availa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a83b7a0b7d06d0d5d7c97a0a9121a58
https://www.geosci-commun.net/2/157/2019/gc-2-157-2019.pdf
https://www.geosci-commun.net/2/157/2019/gc-2-157-2019.pdf
Autor:
Saeed Golian, Conor Murphy, Robert L. Wilby, Tom Matthews, Seán Donegan, Dáire Foran Quinn, Shaun Harrigan
Publikováno v:
International journal of climatology : a journal of the Royal Meteorological Society. 42(11)
Seasonal precipitation forecasting is highly challenging for the northwest fringes of Europe due to complex dynamical drivers. Hybrid dynamical-statistical approaches offer potential to improve forecast skill. Here, hindcasts of mean sea level pressu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccbc3b58121e3b85e021739992cee93d
https://pubmed.ncbi.nlm.nih.gov/36245684
https://pubmed.ncbi.nlm.nih.gov/36245684
Autor:
Conor Murphy, Tom Matthews, Ciaran Broderick, Saeed Golian, Daire Quinn, Seán Donegan, Shaun Harrigan, Robert L. Wilby
This study assesses the seasonal forecast skill of river flow persistence in 46 catchments representing a range of hydrogeological conditions across Ireland. Skill is evaluated against a climatology benchmark forecast and by examining correlations be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3575fd685cd988cfd6f61b44e955535f
Autor:
Seán Donegan, Conor Murphy, Shaun Harrigan, Ciaran Broderick, Saeed Golian, Jeff Knight, Tom Matthews, Christel Prudhomme, Dáire Foran Quinn, Adam A. Scaife, Nicky Stringer, Robert L. Wilby
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530a02f634f6930a73e6f1facc16dbb2
https://doi.org/10.5194/hess-2020-604-supplement
https://doi.org/10.5194/hess-2020-604-supplement
Autor:
Daire Quinn, Conor Murphy, Robert L. Wilby, Tom Matthews, Ciaran Broderick, Saeed Golian, Seán Donegan, Shaun Harrigan
In this study we assess the seasonal hydrological forecast skill of river flow persistence across a sample of 46 catchments representative of Ireland’s diverse range of hydrogeological conditions. This statistical approach is straightforward to imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab639b7beee557af8dda246572989a2
https://doi.org/10.5194/egusphere-egu2020-17646
https://doi.org/10.5194/egusphere-egu2020-17646
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Three dimensional electron back-scattered diffraction (EBSD) microscopy is a critical tool in many applications in materials science, yet its data quality can fluctuate greatly during the arduous collection process, particularly via serial-s
Externí odkaz:
https://doaj.org/article/a9dfd7baf3f94f54994c0050177ab59c