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Aoife McCloskey
Aoife McCloskey
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A comparison of flare forecasting methods. II. Benchmarks, metrics, and performance results for operational solar flare forecasting systems
KD Leka, SH Park, K Kusano, J Andries, G Barnes, S Bingham, ...
The Astrophysical Journal Supplement Series 243 (2), 36, 2019
1182019
A comparison of flare forecasting methods. III. Systematic behaviors of operational solar flare forecasting systems
KD Leka, SH Park, K Kusano, J Andries, G Barnes, S Bingham, ...
The Astrophysical Journal 881 (2), 101, 2019
672019
A comparison of flare forecasting methods. IV. Evaluating consecutive-day forecasting patterns
SH Park, KD Leka, K Kusano, J Andries, G Barnes, S Bingham, ...
The Astrophysical Journal 890 (2), 124, 2020
442020
Flaring rates and the evolution of sunspot group McIntosh classifications
AE McCloskey, PT Gallagher, DS Bloomfield
Solar Physics 291 (6), 1711-1738, 2016
422016
Flare forecasting using the evolution of McIntosh sunspot classifications
AE McCloskey, PT Gallagher, DS Bloomfield
Journal of Space Weather and Space Climate 8, A34, 2018
362018
Timing of the solar wind propagation delay between L1 and Earth based on machine learning
C Baumann, AE McCloskey
Journal of Space Weather and Space Climate 11, 41, 2021
142021
Assessing the risk of geomagnetically induced currents in the German power grid
L Pick, A McCloskey, A Guimarães Carvalho, J Berdermann
2022
Geomagnetically induced currents in the German power grid
L Pick, A Guimarães Carvalho, A McCloskey, J Berdermann
2022
Solar wind propagation delay predictions between L1 and Earth based on machine learning
C Baumann, AE McCloskey
EGU General Assembly Conference Abstracts, EGU21-9624, 2021
2021
Sunspot Classifications & Solar Flare Prediction: Does machine learning improve upon Poisson-based prediction models?
A McCloskey, S Bloomfield, P Gallagher
EGU General Assembly Conference Abstracts, EGU21-10107, 2021
2021
Propagate L1 solar wind measurements to Earth with the help of machine learning
C Baumann, A McCloskey
2021
Prediction of the solar wind propagation delay for L1 to Earth using machine learning
C Baumann, AE McCloskey
AGU Fall Meeting Abstracts 2020, NG006-03, 2020
2020
Flare forecasting using the evolution of McIntosh sunspot
AE McCloskey, PT Gallagher, DS Bloomfield
2018
A Comparison of Flare Forecasting Methods. IV. Evaluating Consecutive-Day Forecasting Patterns View all abstracts by submitter
SH Park, KD Leka, K Kusano, J Andries, G Barnes, S Bingham, ...
Timing of the solar wind propagation delay
C Baumann, AE McCloskey
Flaring Rates and the Evolution of Sunspot Group McIntosh Classifications View all abstracts by submitter
AE McCloskey, PT Gallagher, DS Bloomfield
Magnetic Characteristics of Sunspot Groups and their Role in Producing Adverse Space Weather
A McCloskey
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