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February 22, 20260 citationsOpen Access

Characterizing Sequences and Duration of Atmospheric Rivers Driving Heavy Rainfall in Japan

STSohta TADAKIYHYusuke HIRAGAJHJose Angelo Hokson

Key Points

  • To clarify the physical characteristics of atmospheric rivers (ARs) that contribute to heavy rainfall in Japan.
  • Analyzed atmospheric river characteristics from 1988 to 2023 using ERA5 reanalysis data.
  • Calculated Integrated Water Vapor Transport (IVT) and linked it to precipitation data from Radar-AMeDAS.
  • Defined AR events using a 24-hour moving average of IVT and threshold comparison.
  • Grouped consecutive ARs within 24 hours into single AR events.
  • Quantified AR numbers and event duration, analyzing relationships with precipitation and IVT.
  • Found that the number of ARs in an event influences total precipitation more than IVT magnitude.
  • Identified that multi-AR events lead to increased precipitation in regions with higher frequencies of such events.

Abstract

In recent years, East Asia has experienced a significant increase in the frequency and intensity of heavy rainfall events. Such events are often driven by strong moisture transport in the form of atmospheric rivers (ARs). While previous studies investigated the association of ARs with rainfall events (i.e., rainfall-centric), our understanding of the physical characteristics of ARs causing heavy rainfall (i.e., AR-centric) remained unclear. Previous AR-centric studies in the region have primarily been event-based, making it difficult to generalize the physical characteristics of ARs responsible for heavy rainfall. In this study, we examined the characteristics of ARs—specifically their sequence and duration—from the AR perspective, using data from 1988 to 2023. We first calculated Integrated Water Vapor Transport (IVT) based on ERA5 reanalysis and extracted the associated precipitation from the Radar-AMeDAS. ARs were defined by applying a 24-hour moving average to IVT and comparing it to a grid-specific threshold. Consecutive ARs separated by intervals of less than 24 hours were grouped into a single "AR event." For each event, we quantified the number of ARs and event duration, and analyzed their relationships with precipitation and IVT. Our results showed that the number of ARs within an event has a stronger influence on total precipitation than IVT magnitude alone. Moreover, multi-AR events are causing higher precipitation in regions experiencing higher frequency of multi-AR events. These findings underscore the importance of understanding sequenced AR activity as a distinct mechanism for generating extreme precipitation, which will be further investigated in future research.

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Cite This Study

TADAKI et al. (2026) studied this question.

synapsesocial.com/papers/699a9d14482488d673cd2b27https://doi.org/10.2208/journalofjscesp.25-16087
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