Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Arata Amemiya"'
Autor:
James Taylor, Takumi Honda, Arata Amemiya, Shigenori Otsuka, Yasumitsu Maejima, Takemasa Miyoshi
Publikováno v:
Weather and Forecasting. 38:611-632
A sensitivity analysis for the horizontal localization scale is performed for a numerical weather prediction (NWP) system that uses a 30-s update to refresh a 500-m mesh with observations from a new-generation multiparameter phased array weather rada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18fcec53b3222716a38225abe0eb30f3
https://doi.org/10.1175/waf-d-21-0177.1
https://doi.org/10.1175/waf-d-21-0177.1
Publikováno v:
Journal of Advances in Modeling Earth Systems. 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdf16c56a651da7edac346d6ce55b8b9
https://doi.org/10.1029/2022ms003164
https://doi.org/10.1029/2022ms003164
Autor:
Takemasa Miyoshi, Celeste Saulo, Shigenori Otsuka, Juan Ruiz, Yanina G. Skabar, Arata Amemiya, Tomoo Ushio, Hirofumi Tomita, Tomoki Ushiyama, Masaya Konishi
Publikováno v:
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
This presentation provides an overall summary of the project PREVENIR, an international cooperation project between Argentina and Japan since 2022 for five years under the Science and Technology Research Partnership for Sustainable Development (SATRE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06030135187ec55d1d40b042f68deece
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017261
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017261
Publikováno v:
SOLA. 2020, Vol. 16, p6-11. 6p.
Publikováno v:
SOLA. 17:48-56
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65ad2d193be4a83066ebc75a2e027dd1
https://doi.org/10.2151/sola.2021-008
https://doi.org/10.2151/sola.2021-008
Autor:
Arata Amemiya, Kaoru Sato
Publikováno v:
Atmospheric Chemistry and Physics, Vol 20, Pp 13857-13876 (2020)
The spatial pattern of subseasonal variability of the Asian monsoon anticyclone is analyzed using long-term reanalysis data, focusing on the large-scale longitudinal movement. The air inside the anticyclone is quantified by a thickness-weighted low-P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e80362911599bab07efd023d2ec537e2
https://acp.copernicus.org/articles/20/13857/2020/acp-20-13857-2020.pdf
https://acp.copernicus.org/articles/20/13857/2020/acp-20-13857-2020.pdf
As we enter the era of post peta-scale computing, convective-scale NWP will be performed at increasingly higher model resolutions, using more sophisticated data assimilation (DA) schemes and advanced observational datasets. Here we explore the implic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9169159ac4b60518ca07869ddea9b55e
https://doi.org/10.5194/egusphere-egu22-9244
https://doi.org/10.5194/egusphere-egu22-9244
Autor:
Tsuyoshi Yamaura, Tomoo Ushio, Takemasa Miyoshi, Kenta Sueki, Takumi Honda, Kengo Nakajima, Yutaka Ishikawa, Arata Amemiya, Erika Hoshi, Yasumitsu Maejima, Shigenori Otsuka, Hirofumi Tomita, James Taylor, Shinsuke Satoh, Seiya Nishizawa, Kana Koike
The Japan’s Big Data Assimilation (BDA) project started in October 2013 and ended its 5.5-year period in March 2019. Here, we developed a novel numerical weather prediction (NWP) system at 100-m resolution updated every 30 seconds for precise predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a71a75bbfc70e8124815275c50a5bf67
https://doi.org/10.5194/egusphere-egu21-6890
https://doi.org/10.5194/egusphere-egu21-6890
For any ensemble-based data assimilation system sampling errors are introduced as a consequence of limited ensemble size, generating spurious backgound error covariances and leading to erroneous adjustments to the analysis. As a way to reduce the imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa8e8f16f21d4631f354d07c4e604c1
https://doi.org/10.5194/egusphere-egu21-9533
https://doi.org/10.5194/egusphere-egu21-9533