Zobrazeno 1 - 10
of 301
pro vyhledávání: '"Toshio Yamagata"'
Autor:
Fenghua Ling, Zeyu Lu, Jing-Jia Luo, Lei Bai, Swadhin K. Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract As our planet is entering into the “global boiling” era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are crucial for this target. Traditional approaches, includi
Externí odkaz:
https://doaj.org/article/43d223d7bb744dd89a5066d157088930
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 15, Pp n/a-n/a (2024)
Abstract In July and August 2022, the Yangtze River basin (YRB) experienced its hottest summer since 1961. The SINTEX‐F2 seasonal prediction system initialized in early May predicted the hotter‐than‐normal summer due to its successful predictio
Externí odkaz:
https://doaj.org/article/a7a306187d9e43f2896ab01d027f1a23
Autor:
Shixin Wang, Tiexi Chen, Jing-Jia Luo, Meng Gao, Hongchao Zuo, Fenghua Ling, Jianlin Hu, Chaoxia Yuan, Yuanjian Yang, Lina Wang, Huaming Huang, Naiang Wang, Yaojun Li, Toshio Yamagata
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Understanding both positive and negative impacts of climate change is essential for comprehensively assessing and well adapting to the impacts of changing climate. Conventionally, climate warming is revealed to negatively impact human activi
Externí odkaz:
https://doaj.org/article/a959ea0822d5430eaffb467e4847bd9c
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 13, Pp n/a-n/a (2024)
Abstract Accurate detection and attribution of past climate change are crucial for projecting future climate change and formulating proper policies. In this study, we show that the warming of the tropical Indian Ocean contributes to the observed wett
Externí odkaz:
https://doaj.org/article/0ca2173d6dd74a42be26a1d285c2ec54
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract During the summer of 2022, Pakistan and northwestern India were hit by an unprecedented spell of heavy rainfall. Despite capturing major tropical climate anomalies, almost all seasonal prediction systems failed to predict the extreme event,
Externí odkaz:
https://doaj.org/article/e08572e80b3b4924afa972520b955f1e
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 1, Pp n/a-n/a (2024)
Abstract Investigating the Indian Ocean Dipole (IOD) during the Last Interglacial (LIG) can advance knowledge of IOD behaviors in orbitally‐induced warmer‐than‐present scenarios. Based on multiple model outputs from the Paleoclimate Modeling In
Externí odkaz:
https://doaj.org/article/225ba684ab3040edace08d3696cbecb1
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
A multi-task learning model is proposed to improve seasonal-to-annual prediction of the Indian Ocean Dipole (IOD). This model captures the inter-basin interactions between ENSO and IOD and distinctive precursors of positive and negative IOD events.
Externí odkaz:
https://doaj.org/article/3d029dd86bca46aa83ccf66b3627c4ea
Autor:
Wenju Cai, Guojian Wang, Bolan Gan, Lixin Wu, Agus Santoso, Xiaopei Lin, Zhaohui Chen, Fan Jia, Toshio Yamagata
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
It is unclear how extreme positive Indian Ocean Dipole will respond to 1.5 °C of warming. Here the authors show that the frequency of these events increases linearly with warming, doubling at 1.5 °C from the pre-industrial level, but plateaus there
Externí odkaz:
https://doaj.org/article/d78354573ab644d1b54abbb39f1d54b7
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
Abstract Multi-year La Niña events often induce persistent cool and wet climate over global lands, altering and in some case mitigating regional climate warming impacts. The latest event lingered from mid-2010 to early 2012 and brought about intensi
Externí odkaz:
https://doaj.org/article/3e5f32cd799a44d08f8bab82e5eb4a9c
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 8, Iss 4, Pp 1847-1867 (2016)
Abstract The SINTEX‐F1 Coupled General Circulation Model (CGCM) was developed within the EU‐Japan collaborative framework to study global climate variability and its predictability by use of the Earth Simulator. The seasonal prediction system bas
Externí odkaz:
https://doaj.org/article/2ead857b3cf54df28f18de8c28f7db25