Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Ryohei Misumi"'
Publikováno v:
Atmospheric Science Letters, Vol 22, Iss 7, Pp n/a-n/a (2021)
Abstract The seeder–feeder interactions (SFIs), where raindrops from upper clouds grow by accreting cloud droplets in the lower clouds, have been extensively studied. However, there are few studies on the modification of raindrop size distribution
Externí odkaz:
https://doaj.org/article/62b9efda667c4508adedbccdd3aba29b
Autor:
Jun Uetake, Yutaka Tobo, Yasushi Uji, Thomas C. J. Hill, Paul J. DeMott, Sonia M. Kreidenweis, Ryohei Misumi
Publikováno v:
Frontiers in Microbiology, Vol 10 (2019)
In order to study airborne bacterial community dynamics over Tokyo, including fine-scale correlations between airborne microorganisms and meteorological conditions, and the influence of local versus long-range transport of microbes, air samples were
Externí odkaz:
https://doaj.org/article/063d074040384be9b6e939ea045e302d
Publikováno v:
Water, Vol 12, Iss 4, p 1005 (2020)
During the first week of July 2018, widespread flooding caused extensive damage across several river basins in western Japan. Among the affected basins were the Mabicho district of Kurashiki city in the lower part of the Oda river basin of the Okayam
Externí odkaz:
https://doaj.org/article/be1a23b4873c4b809932e3c8a439d865
Publikováno v:
Water, Vol 11, Iss 8, p 1703 (2019)
Recently, the use of gridded rainfall data with high spatial resolutions in hydrological applications has greatly increased. Various types of radar rainfall data with varying spatial resolutions are available in different countries worldwide. As a re
Externí odkaz:
https://doaj.org/article/6a543b6fb35642adbd27342ad0e20df2
Autor:
Tsuyoshi Inoue, Ryohei Misumi
Publikováno v:
Weather and Forecasting. 37:1013-1026
Deep learning models have been shown to perform well in terms of the radar-based precipitation nowcasting problem when compared with advection-based models. Yet, most of the existing literature has used locally trained models, and relatively little i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aba7d27916fd6c84593847cef51e67f5
https://doi.org/10.1175/waf-d-21-0078.1
https://doi.org/10.1175/waf-d-21-0078.1
Publikováno v:
Weather & Forecasting. Feb2021, Vol. 36 Issue 1, p253-264. 12p.
Autor:
Mamoru Miyamoto, Yousuke Nakamura, Daiki Kakinuma, Supattra Visessri, Ryohei Misumi, P C Shakti, Anurak Sriariyawat
Publikováno v:
Journal of Disaster Research. 15:1025-1039
The Chao Phraya River Basin is one of the largest in Asia and is highly vulnerable to water-related disasters. Based on rainfall gauge data over 36 years (1981–2016), a frequency analysis was performed for this basin to understand and evaluate its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e5feb0eae592a867053d7aacca65e24
https://doi.org/10.20965/jdr.2020.p1025
https://doi.org/10.20965/jdr.2020.p1025
Publikováno v:
Journal of Disaster Research. 15:676-687
It is important to discern in real time the risk level of rain-related disasters such as floods and landslides in order to maintain readiness against heavy-rainfall disasters and to decide on the suitable response measures. In this study, we develope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::080e491ec31b43d6a05b1c56842366c6
https://doi.org/10.20965/jdr.2020.p0676
https://doi.org/10.20965/jdr.2020.p0676
Publikováno v:
SOLA. 16:51-56
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5494352f2c7a834ef6f8bd2e9a591f4b
https://doi.org/10.2151/sola.2020-009
https://doi.org/10.2151/sola.2020-009
Autor:
Yukari Shusse, Kazuo Saito, Augusto José Pereira Filho, Dong-In Lee, Stéphane Bélair, Tsuyoshi Nakatani, Kohin Hirano, Ryohei Misumi, Masayuki Maki, Hiromu Seko, Naoko Seino, Shin-ichi Suzuki, Yoshinori Shoji, V. Chandrasekar
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities (TOMACS) began as a Japanese domestic research project in 2010 and aimed to elucidate the mechanisms behind local high-impact weather (LHIW) in urban areas, to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ed2abcc5df0fda8de2b3736a150bfe8
https://doi.org/10.1175/bams-d-18-0316.1
https://doi.org/10.1175/bams-d-18-0316.1