著者
Ryo Onishi Daisuke Sugiyama Keigo Matsuda
出版者
Meteorological Society of Japan
雑誌
SOLA (ISSN:13496476)
巻号頁・発行日
vol.15, pp.178-182, 2019 (Released:2019-09-05)
参考文献数
21
被引用文献数
6

We propose a super-resolution (SR) simulation system that consists of a physics-based meteorological simulation and an SR method based on a deep convolutional neural network (CNN). The CNN is trained using pairs of high-resolution (HR) and low-resolution (LR) images created from meteorological simulation results for different resolutions so that it can map LR simulation images to HR ones. The proposed SR simulation system, which performs LR simulations, can provide HR prediction results in much shorter operating cycles than those required for corresponding HR simulation prediction system. We apply the SR simulation system to urban micrometeorology, which is strongly affected by buildings and human activity. Urban micrometeorology simulations that need to resolve urban buildings are computationally costly and thus cannot be used for operational real-time predictions even when run on supercomputers. We performed HR micrometeorology simulations on a supercomputer to obtain datasets for training the CNN in the SR method. It is shown that the proposed SR method can be used with a spatial scaling factor of 4 and that it outperforms conventional interpolation methods by a large margin. It is also shown that the proposed SR simulation system has the potential to be used for operational urban micrometeorology predictions.
著者
Taiki Miyazawa Keigo Matsuda Atsuhiro Fujimori Yoshimune Nonomura
出版者
The Chemical Society of Japan
雑誌
Chemistry Letters (ISSN:03667022)
巻号頁・発行日
vol.40, no.11, pp.1262-1263, 2011-11-05 (Released:2011-10-15)
参考文献数
15
被引用文献数
1

Manganese oxide nanoparticles can be obtained simply by mixing surfactant/water/oil ternary systems containing dialkyldimethylammonium chloride, manganese(II) nitrate hexahydrate, and n-hexane. This finding is valuable in the design of a one-pot synthesis of nanoparticles from microemulsion systems.