Preprints
https://doi.org/10.5194/egusphere-2024-1742
https://doi.org/10.5194/egusphere-2024-1742
26 Jun 2024
 | 26 Jun 2024
Status: this preprint is open for discussion.

Brief communication: Forecasting extreme precipitation from atmospheric rivers in New Zealand

Daniel G. Kingston, Liam Cooper, David A. Lavers, and David M. Hannah

Abstract. With mountainous topography and exposure to mid-latitude westerly storms causing frequent atmospheric river landfall and associated hydro-hazards, medium-range forecasting of extreme precipitation is a critical imperative for New Zealand. Here, the European Centre for Medium-Range Weather Forecasts Extreme Forecast Index (EFI) is applied to two variables in forecast week 2, total precipitation (TP-EFI) and vertically integrated water vapour transport (IVT-EFI). Results reveal the TP-EFI sometimes outperforms the IVT-EFI in capturing extreme precipitation events – in contrast to past Europe-based research and indicating a need to develop further our conceptual understanding of the predictability of extreme precipitation in different geographical contexts.

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Daniel G. Kingston, Liam Cooper, David A. Lavers, and David M. Hannah

Status: open (until 07 Aug 2024)

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Daniel G. Kingston, Liam Cooper, David A. Lavers, and David M. Hannah
Daniel G. Kingston, Liam Cooper, David A. Lavers, and David M. Hannah

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Short summary
Extreme rainfall comprises a major hydro-hazard for New Zealand, and is commonly associated with atmospheric rivers – narrow plumes of very high atmospheric moisture transport. Here, we focus on improved forecasting of these events by testing a forecasting tool previously applied to similar situations in western Europe. However, our results for New Zealand suggest the performance of this forecasting tool may vary depending on geographic setting.