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| Conor Sweeney was born in Dublin, and went to school in St Conleth's, where the great teachings of Mr. Manning introduced him to the joys of Maths and Physics. This, coupled with a love of dismantling things, led him to do Mechanical Engineering in UCD. Despite a lack of engines to take apart, he thoroughly enjoyed himself, and left with a 2.1 degree. He then worked as a Design Engineer in Bergamo in northern Italy (fabulous food and wine) and Charlotte in North Carolina (lots of banks), before returning to pursue his love of research. This he did in Trinity College Dublin, where he was supervised by Dr Craig Meskell and had a great time with all the people in the Fluids group. This resulted in the production of a new vorticity-stream function CFD solver, a fast particle-in-mesh technique, and a Ph.D. After a further year doing a post-doc in TCD, he briefly thought about becoming a Patent Attorney (they do make a lot of money) but then an offer of working on climate change saw him join the C4I team in Met Eireann as a post-doc researcher in climate modelling. This took around four years, resulted in a nice Government report, and left him free to hop on his motorbike and travel overland from Dublin to Cape Town. He returned from his adventures back to Dublin, and back to UCD, where he did further post-doc research on forecasting for wind energy, and is now a lecturer in Applied and Computational Mathematics in the School of Mathematical Sciences, UCD. He is based in the Meteorology and Climate Centre, and his current research interests include:
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| Sweeney, Conor, Peter Lynch and Paul Nolan; (2011) 'Reducing errors of wind speed forecasts by an optimal combination of post-processing methods'. Meteorological Applications, . [DOI] [Details] |
C. Sweeney and P. Lynch; (2011) 'Adaptive post-processing of short-term wind forecasts for energy applications'. Wind Energy, 14 (3):317-325. [DOI] [Details] |
Wang, S. et al.; (2006) 'Validation of simulated precipitation patterns over Ireland for the period 1961-2000'. International Journal of Climatology, 26 (2):251-266. [DOI] [Details] |
Wang, S. et al.; (2006) 'The impact of the climate change on discharge of Suir River Catchment (Ireland) under different climate scenarios'. Natural Hazards and Earth System Sciences, 6 (3):387-395. [Details] |
Sweeney, C. and Meskell, C.; (2003) 'Fast numerical simulation of vortex shedding in tube arrays using a discrete vortex method'. Journal of Fluids and Structures, 18 (5):501-512. [DOI] [Details] |
McGrath, R. et al.; (2006) 'Impact of balloon drift errors in radiosonde data on climate statistics'. Journal of Climate, 19 (14):3430-3442. [DOI] [Details] |
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McGrath, R. et al.,; (2008) Ireland in a Warmer World: Scientific Predictions of the Irish Climate in the 21st Century. Met Éireann, Ireland. [Details] |
McGrath, R. et al.; (2005) CLIMATE CHANGE: Regional Climate Model Predictions for Ireland. Environmental Protection Agency, Ireland, Ireland. [Details] |
| Sweeney, C.; (2010) Adaptive post-processing of short-term wind forecasts for energy applications. [Oral Presentation], European Consortium for Mathematics in Industry, Wuppertal, Germany , 26-JUL-10 - 30-JUL-10. |
| Sweeney, C.; (2008) High resolution forecasts for wind energy applications. [Oral Presentation], European Consortium for Mathematics in Industry, London, UK , 30-JUN-08 - 04-JUL-08. |
| Sweeney, C; McGrath, R; Nolan, P; Semmler, T; Wang, S; (2005) The importance of boundary data resolution on regional climate modelling for extreme weather events. [Poster Presentation], General Assembly of EGU, Vienna, Austria , 24-APR-05 - 29-APR-05. |
| Client: : Airtricity |
| Client: : Mainstream Renewable Power |
| SMS postgrad open evening, April 2012 |
| SMS careers and postgrad opportunities seminar, April 2012 |
| Irish Mathematical Olympiad training, March 2012 |
| RDS Higher Options conference, September 2011 |
I am currently teaching the following modules:
I am co-supervising one Ph.D. student, Jennifer Courtney, who is working on the Zephyr project: Dynamical and statistical downscaling of ensemble forecasts for wind energy applications in Ireland. |