Future Changes in Monthly Extreme Precipitation in Japan Using Large-Ensemble Regional Climate Simulations

Hatsuzuka, Daisuke; Sato, Toru

doi:10.1175/jhm-d-18-0095.1

Cited by 19 publications

(11 citation statements)

References 40 publications

(54 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, several issues remain to be addressed. First, there is limited literature attributing the observed trends in Japan to anthropogenic forcing or natural variability, although some studies have addressed the changes in the frequency of heavy precipitation in future projections (Hatsuzuka & Sato, 2019). Recent studies (Hatsuzuka et al., 2020; Kawase et al., 2019) reported the potential effect of anthropogenic warming on heavy precipitation on Kyushu Island over the past few decades.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to the 2020 and 2021 events, the scientific community is aware of more frequent heavy precipitation events over the last decade in Japan (e.g., July 2012, August 2014, June 2017, and July 2018), especially in Western Japan (see Figure 1 for regional names in Japan) at the end of the rainy season (i.e., between late July and early August; JMA, 2019; Kawano & Kawamura, 2020; Tsuji et al., 2020). Indeed, several studies have reported increasing trends in the observed frequency of heavy precipitation events in Japan (Fujibe, 2013; JMA, 2019; Ohba et al., 2015) and projected future increases by the end of this century (Hatsuzuka & Sato, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…regional names in Japan) at the end of the rainy season (i.e., between late July and early August; JMA, 2019; Kawano & Kawamura, 2020;Tsuji et al, 2020). Indeed, several studies have reported increasing trends in the observed frequency of heavy precipitation events in Japan (Fujibe, 2013;JMA, 2019;Ohba et al, 2015) and projected future increases by the end of this century (Hatsuzuka & Sato, 2019).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Increasing Frequency of Anomalous Precipitation Events in Japan Detected by a Deep Learning Autoencoder

et al. 2022

View full text Add to dashboard Cite

The frequency of large‐scale anomalous precipitation events associated with heavy precipitation has been increasing in Japan. However, it is unclear if the increase is due to anthropogenic warming or internal variability. Also, it is challenging to develop an objective methodology to identify anomalous events because of the large variety of anomalous precipitation cases. In this study, we applied a deep learning technique to objectively detect anomalous precipitation events in Japan for both observations and simulations using high‐resolution climate models. The results show that the observed increases in anomalous heavy precipitation events in Western Japan during 1977–2015 were not made only by internal variability but the increases in anthropogenic forcing played an important role. Such events will continue to increase in frequency this century. The increases are attributable to the increasing frequency of tropical cyclones and enhanced frontal rainbands near Japan. These results highlight the mitigation challenge posed by the increasing occurrence of unprecedented precipitation events in the future.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Increasing Frequency of Anomalous Precipitation Events in Japan Detected by a Deep Learning Autoencoder

et al. 2022

View full text Add to dashboard Cite

show abstract

“…S1a), which produced a finer-scale distribution of precipitation (Mizuta et al 2017). This dataset has been used widely in future projections of low-frequency events such as precipitation and snowfall extremes (Endo et al 2017;Hatsuzuka and Sato 2019;Kawase et al 2016), global TC activity and associated precipitation (Yoshida et al 2017;Kitoh and Endo 2019), and Northern Hemisphere blocking (Matsueda and Endo 2017). In this study, we examined future changes in extreme precipitation associated with TCs around Japan and their possible influencing factors using the RCM downscaling simulations of d4PDF.…”

Section: Introductionmentioning

confidence: 99%

Regional Projection of Tropical-Cyclone-Induced Extreme Precipitation around Japan Based on Large Ensemble Simulations

Hatsuzuka

Sato

Yoshida³

et al. 2020

SOLA

Self Cite

View full text Add to dashboard Cite

This study investigated future changes in extreme precipitation associated with tropical cyclones (TCs) around Japan using large ensemble regional climate simulations for historical and +4 K climates. Under the warmer climate, extreme TC precipitation, defined as the 90th percentile value of the maximum daily precipitation derived from each TC (TCP90), is projected to increase throughout Japan from Kyushu to Kanto. We attributed most of the increase in TCP90 to increased atmospheric moisture due to global warming. Furthermore, it was found that TCP90 is projected to increase for all TC intensity categories. However, the projected increase in intense TCs affects TCP90 in only a limited area. Stronger TCs enhance TCP90 over east-and north-facing slopes of mountainous terrain, while TCP90 in most other areas is insensitive to TC intensity. These results suggest that even relatively weak TCs could have potential to produce extreme precipitation that might cause natural disasters.

show abstract

“…Climate simulation models have demonstrated an elevated risk of heavy rainfall in early summer (May-July) in Japan (Yokoyama et al, 2019). Another climate simulation model has also indicated that monthly precipitation in Japan during summer (June-August) will increase as temperature increases over wide areas of Japan (Hatsuzuka and Sato, 2019). Thus, at least in Japan, an excess of water in vineyard soils during grapevine growing season is expected to become a critical issue.…”

Section: Introductionmentioning

confidence: 99%

Effects of constantly high soil water content on vegetative growth and grape quality in Japan with high rainfall during grapevine growing season

Kobayashi

Yamamoto

Ikeda

et al. 2020

Folia Horticulturae

View full text Add to dashboard Cite

Excess water in vineyard soils during grapevine growing season is expected to become a critical issue in Japan. The objective of this study was to investigate the effects of constantly high soil water content which was controlled at constantly more than 20% water content in soil on vegetative growth and berry quality of Cabernet Sauvignon over a 3-year growing season. A wireless sensor networking system for real-time monitoring of soil moisture was used to check that the experimental plot had constantly more than 20% water content in soil. Véraison in the experimental plot controlled at constantly high soil water content started 10 days, 4 days and 1 day later than that in the non-irrigated experimental plot in the 2017, 2018 and 2019 growing seasons, respectively. The constantly high soil water content had no notable effects on berry quality, such as berry characteristics and berry composition, at harvest compared with the non-irrigated experimental plot, although there was a certain tendency that constantly high soil water content decreased anthocyanin contents in berry skins compared with those of non-irrigated grapevines during the three growing seasons. We postulated that waterlogging damage due to the increase in soil water content by frequent rainfall would be minimised by the selection of rootstock that confers tolerance to waterlogging stress for scion cultivars and/or viticultural practices to prevent decrease in soil temperature. Also, the introduction of Internet of Things technology for monitoring water status in vineyard soil is expected to contribute to improving practical approaches to vineyard soil water management.

show abstract

Future Changes in Monthly Extreme Precipitation in Japan Using Large-Ensemble Regional Climate Simulations

Cited by 19 publications

References 40 publications

Increasing Frequency of Anomalous Precipitation Events in Japan Detected by a Deep Learning Autoencoder

Increasing Frequency of Anomalous Precipitation Events in Japan Detected by a Deep Learning Autoencoder

Regional Projection of Tropical-Cyclone-Induced Extreme Precipitation around Japan Based on Large Ensemble Simulations

Effects of constantly high soil water content on vegetative growth and grape quality in Japan with high rainfall during grapevine growing season

Contact Info

Product

Resources

About