Advances in Science and Research
Advances in Science and Research
ASR
Articles | Volume 18
Articles | Volume 18
https://doi.org/10.5194/asr-18-145-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/asr-18-145-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18
17 Sep 2021
 | 17 Sep 2021

Addressing up-scaling methodologies for convection-permitting EPSs using statistical and machine learning tools

Tiziana Comito, Colm Clancy, Conor Daly, and Alan Hally

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Latest update: 20 Nov 2024
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Short summary
Convection-permitting models allow for prediction of rainfall events with increasing levels of detail. However, this increased resolution can create problems such as the so-called double penalty problem when attempting to verify model forecast accuracy. This problem is amplified when trying to maximise the value of a convection-permitting ensemble prediction system (EPS). Post-processing of the EPS can help to overcome these issues. In this spirit, two new up-scaling algorithms based on Machine
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