Zobrazeno 1 - 10
of 127
pro vyhledávání: '"DAISUKE NOHARA"'
Autor:
Yu Fujimoto, Masamichi Ohba, Yujiro Tanno, Daisuke Nohara, Yuki Kanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama
Publikováno v:
Big Earth Data, Vol 8, Iss 4, Pp 732-754 (2024)
Wind power is crucial for achieving carbon neutrality, but its output can vary due to local wind conditions. The spatio-temporal behavior of wind power generation connected to the power grid can have a significant impact on system operations. To asse
Externí odkaz:
https://doaj.org/article/3cc3431c64a34601be0ce3ed812fe376
Autor:
Kenichiro Kobayashi, Le Duc, Takuya Kawabata, Atsushi Tamura, Tsutao Oizumi, Kazuo Saito, Daisuke Nohara, Tetsuya Sumi
Publikováno v:
Progress in Earth and Planetary Science, Vol 10, Iss 1, Pp 1-22 (2023)
Abstract This paper presents the 1000 ensemble flood simulations using ensemble rainfalls simulated by 4D LETKF. The number of ensemble rainfall members is large as 1000 compared to the operational rainfall products of two-digit numbers to avoid samp
Externí odkaz:
https://doaj.org/article/d6500eef64044c00be6b03d8e9c04e8f
Publikováno v:
Journal of Hydroinformatics, Vol 24, Iss 2, Pp 223-242 (2022)
Reservoirs have been installed as long-term assets to guarantee water and energy security for decades, if not centuries. However, the effect of siltation undermines reservoirs' sustainability because it significantly reduces the reservoirs' original
Externí odkaz:
https://doaj.org/article/01e7ba769f7047bdb26d45172ba78362
Publikováno v:
Earth and Space Science, Vol 7, Iss 11, Pp n/a-n/a (2020)
Abstract A clustering and classification method using a Gaussian mixture model (GMM) is used to summarize and simplify meteorological data from a numerical weather prediction (NWP) model. Each horizontal grid in the integration domain of the NWP mode
Externí odkaz:
https://doaj.org/article/a5f8f72f263f4a91b47a47860aef4b54
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 68, Iss 0, Pp 1-15 (2016)
This study presents an application of self-organising maps (SOMs) to downscaling medium-range ensemble forecasts and probabilistic prediction of local precipitation in Japan. SOM was applied to analyse and connect the relationship between atmospheric
Externí odkaz:
https://doaj.org/article/d4d9372a0dd44e9ba7440301a1450dd3
Publikováno v:
Atmosphere, Vol 9, Iss 11, p 423 (2018)
This study shows the application of self-organizing maps (SOMs) to probabilistic forecasts of wind power generation and ramps in Japan. SOMs are applied to atmospheric variables obtained from the Japanese 55-year atmospheric Reanalysis JRA-55 over th
Externí odkaz:
https://doaj.org/article/49ebcba859ba4179b440fbaa79ec38ee
Publikováno v:
Environmental Research Letters, Vol 10, Iss 9, p 095005 (2015)
Long-term climate experiments up to the year 2300 have been conducted using two full-scale complex Earth system models (ESMs), CESM1(BGC) and MIROC-ESM, for a CO _2 emissions reduction pathway, termed Z650, where annual CO _2 emissions peak at 11 PgC
Externí odkaz:
https://doaj.org/article/3f1f99eecbf2497781f9bfc32d0bd100
Publikováno v:
Environmental Research Letters, Vol 8, Iss 1, p 014047 (2013)
Previous research has indicated that the response of globally average temperature is approximately proportional to cumulative CO _2 emissions, yet evidence of the robustness of this relationship over a range of CO _2 emission pathways is lacking. To
Externí odkaz:
https://doaj.org/article/3d6407c70374463988f836d4e556d3d3
Autor:
Daisuke NOHARA, Masamichi OHBA
Publikováno v:
The Journal of The Institute of Electrical Engineers of Japan. 143:271-274
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4617d37c00586938a6296218705359a5
https://doi.org/10.1541/ieejjournal.143.271
https://doi.org/10.1541/ieejjournal.143.271
Publikováno v:
Journal of Mountain Science. 19:1738-1747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e356f97a605f706a1f71db13d56d1ff
https://doi.org/10.1007/s11629-022-7309-6
https://doi.org/10.1007/s11629-022-7309-6