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

Abstract. With mountainous topography and exposure to midlatitude westerly storms causing frequent atmospheric river landfall and associated hydrohazards, medium-range forecasting of extreme precipitation is 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. Importantly, these case studies highlight the need to develop further understanding of sources of predictability for extreme precipitation in different geographical contexts.

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Publication Details

Journal
Natural hazards and earth system sciences
Published
2025-02-13
DOI
https://doi.org/10.5194/nhess-25-675-2025
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

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article

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

David M. Hannah, David A. Lavers, Liam Cooper, Daniel G. Kingston
1 citations
Natural hazards and earth system sciences
Climate variability and models
1.11
article

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

David M. Hannah, David A. Lavers, Liam Cooper, Daniel G. Kingston
article en
1 citations

Abstract

Abstract. With mountainous topography and exposure to midlatitude westerly storms causing frequent atmospheric river landfall and associated hydrohazards, medium-range forecasting of extreme precipitation is 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. Importantly, these case studies highlight the need to develop further understanding of sources of predictability for extreme precipitation in different geographical contexts.

Natural hazards and earth system sciencesVol. 25(2)
European Centre for Medium-Range Weather Forecasts (GB), University of Birmingham (GB), University of Otago (NZ)
University of Otago, European Commission, University of Birmingham
Openalex Percentile: Top 27%
Climate variability and models
1.11
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Brief communication: Forecasting extreme precipitation from atmospheric rivers in New Zealand — David M. Hannah, David A. Lavers, et al. · Natural hazards and earth system sciences (2025) | TGRS Research Map | TGRS