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LOFAR lightning imaging: Mapping lightning with nanosecond precision
Lightning mapping technology has proven instrumental in understanding lightning. In this work we ...
BM Hare, O Scholten, A Bonardi, S Buitink, A Corstanje, U Ebert, H Falcke, JR Hörandel, H Leijnse, P Mitra, K Mulrey, A Nelles, JP Rachen, L Rossetto, C Rutjes | Status: published | Journal: J. Geophys. Res. | Volume: 123 | Year: 2018 | First page: 2861 | Last page: 2876 | doi: 10.1002/2017JD028132
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Extreme precipitation in the Netherlands: An event attribution case study
Attributing the change in likelihood of extreme weather events, particularly those occurring at s...
JM Eden, SF Kew, O Belprat, G Lenderink, I Manola, H Omrani, GJ van Oldenborgh | Status: published | Journal: Weather and Climate Extremes | Volume: 21 | Year: 2018 | First page: 90 | Last page: 101 | doi: 10.1016/j.wace.2018.07.003
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Improving precipitation forecasts using extreme quantile regression
Aiming to estimate extreme precipitation forecast quantiles, we propose a nonparametric regressio...
J Velthoen, J Cai, G Jongbloed, M Schmeits | Status: published | Journal: Extremes | Volume: 22 | Year: 2019 | First page: 599 | Last page: 622 | doi: 10.1007/s10687-019-00355-1
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A global empirical system for probabilistic seasonal climate prediction
Preparing for episodes with risks of anomalous weather a month to a year ahead is an important ch...
JM Eden, GJ van Oldenborgh, E Hawkins, EB Suckling | Status: published | Journal: Geoscientific Model Development | Volume: 8 | Year: 2015 | First page: 3947 | Last page: 3973 | doi: doi:10.5194/gmd-8-3947-2015
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A global empirical system for probabilistic seasonal climate prediction
Preparing for episodes with risks of anomalous weather a month to a year ahead is an important ch...
JM Eden, GJ van Oldenborgh, E Hawkins, EB Suckling | Status: published | Journal: Geoscientific Model Development | Volume: 8 | Year: 2015 | First page: 3947 | Last page: 3971 | doi: doi:10.5194/gmd-8-3947-2015
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