Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Automated Meteorological Data Acquisition System"'
Autor:
Yasuhiko Okada, Chisato Konishi
Publikováno v:
Landslides. 16:2469-2483
Heavy precipitation accompanied by a typhoon and a seasonal rain front fell over the main island of Japan on 9–11 September 2015, causing severe damage due to landslides and river flooding. In the Kanto and Tohoku regions, some automated meteorolog
Autor:
Tatsuo Shiina
Publikováno v:
Advances in Solid State Lasers Development and Applications
Prediction of local and steep weather change such as heavy rain and lightning strike are urgently needed for disaster prevention. In Japan, Automated Meteorological Data Acquisition System (AMeDAS) has been operational throughout the country, with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b744965133dde45493b4f115586cb8b
http://www.intechopen.com/articles/show/title/in-line-typed-high-precision-polarization-lidar-for-disaster-prevention
http://www.intechopen.com/articles/show/title/in-line-typed-high-precision-polarization-lidar-for-disaster-prevention
Autor:
Takashi Yasuno, Takahiro Kitajima, Hiroshi Suzuki, Anggraini Puspita Sari, Abd. Rabi, Dwi Arman Prasetya
Publikováno v:
SICE
Scopus-Elsevier
Scopus-Elsevier
This paper presents the prediction system of wind speed and direction one hour ahead using encoding-forecasting network with convolutional long short-term memory (ConvLSTM). The input of prediction system is wind speed and direction which are represe
Autor:
Takayuki Suzuki, Muhammad Ali Hafeez, Yoshitaka Matsuzaki, Abdul Moiz, Yoshiyuki Nakamura, Kangnian Wang, Tetsunori Inoue
Publikováno v:
The Science of the total environment. 771
Regional ocean models require accurate weather data for atmospheric boundary conditions such as air temperature, wind speed, and direction to simulate the coastal environment. In this study, a numerical modelling framework was developed to simulate d
Autor:
Dwi Arman Prasetya, Takashi Yasuno, Hiroshi Suzuki, Takahiro Kitajima, Anggraini Puspita Sari
Publikováno v:
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science). 3
This paper presents the prediction system of wind speed and direction using a feed-forward backpropagation neural network (FFBPNN). The input of the prediction system is wind speed and direction which are numerical data and provided by Automated Mete
Publikováno v:
Urban Climate. 24:276-286
In the design of irrigation and other hydraulic structures, evaluating the extreme rainfall for a specific probability of occurrence is important. The capacity of such structures is usually designed to cater to the probability of occurrence of extrem
Publikováno v:
International Journal of Climatology. 37:5154-5169
We investigate the relationship between sea breeze penetration and anomalously high summer daytime temperatures in the inland suburbs of Tokyo, with consideration of the relative position of sea breeze fronts. We use data from the high-density temper
Akademický článek
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Publikováno v:
International Journal of Satellite Communications and Networking. 35:281-293
Summary The effects of rain attenuation on communication systems will become more pronounced in future satellite communication systems, especially with the planned use of the 21-GHz band or higher-frequency bands. Diversity techniques provide a solut
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 479:012011
Recently in the field of disaster risk management, the applications of x display--inline-block" style="background: var(--highlight-yellow); color: inherit;">rainfall data from X-band Polarimetric radar are rapidly increasing due to the advancement of