Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Takeshi ENOMOTO"'
Publikováno v:
Atmospheric Science Letters, Vol 25, Iss 8, Pp n/a-n/a (2024)
Abstract The Aeroclipper is a new balloon device that can be attracted and captured by tropical cyclones (TC) and perform continuous in situ measurements at the air–sea interfaces. To estimate the potential effect of Aeroclipper observations on the
Externí odkaz:
https://doaj.org/article/715db2e7d130457fa25b060a5e363e47
Autor:
Takeshi Enomoto, Saori Nakashita
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 76, Iss 1, Pp 42–56-42–56 (2024)
The Newton method is used for optimisation in the maximum likelihood ensemble filter (MLEF) to improve analysis convergence and accuracy. The proposed method is compared against the original method using the conjugate gradient (CG) method preconditio
Externí odkaz:
https://doaj.org/article/2af51af559a843d2858bfaf03752911b
Autor:
Yukiko Fujisawa, Shin-ya Murakami, Norihiko Sugimoto, Masahiro Takagi, Takeshi Imamura, Takeshi Horinouchi, George L. Hashimoto, Masaki Ishiwatari, Takeshi Enomoto, Takemasa Miyoshi, Hiroki Kashimura, Yoshi-Yuki Hayashi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract The planetary missions including the Venus Climate Orbiter ‘Akatsuki’ provide new information on various atmospheric phenomena. Nevertheless, it is difficult to elucidate their three-dimensional structures globally and continuously only
Externí odkaz:
https://doaj.org/article/964ed056d2fc4300bfd16136d43e166e
Autor:
Hiroki Kashimura, Norihiko Sugimoto, Masahiro Takagi, Yoshihisa Matsuda, Wataru Ohfuchi, Takeshi Enomoto, Kensuke Nakajima, Masaki Ishiwatari, Takao M. Sato, George L. Hashimoto, Takehiko Satoh, Yoshiyuki O. Takahashi, Yoshi-Yuki Hayashi
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019)
A planetary-scale streak structure in the Venusian lower-cloud layer was observed by the Akatsuki orbiter. Here the authors present numerical simulations that reproduce such structure and reveal that a low-stability layer, which induces baroclinic di
Externí odkaz:
https://doaj.org/article/31d1db3a6f414d6eb3f361a520ae66fd
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 67, Iss 0, Pp 1-20 (2015)
Given an ensemble of forecasts, it is possible to determine the leading ensemble singular vector (ESV), that is, the linear combination of the forecasts that, given the choice of the perturbation norm and forecast interval, will maximise the growth o
Externí odkaz:
https://doaj.org/article/6c9ab5100e96449688f2590b30d5b095
Publikováno v:
Journal of Pharmacological Sciences, Vol 127, Iss 3, Pp 326-331 (2015)
Antagonism of the dopamine D3 receptor has been hypothesized to be beneficial for schizophrenia cognitive deficits, negative symptoms and extrapyramidal symptoms. However, recent animal and human studies have shown that most antipsychotics do not occ
Externí odkaz:
https://doaj.org/article/d26f7a87f9fb4fddbde7da8c50bd6a1d
Autor:
Takeshi Enomoto, Shin Tochinai
Publikováno v:
Clinical and Developmental Immunology, Vol 7, Iss 1, Pp 23-32 (1999)
Externí odkaz:
https://doaj.org/article/eb5db63860d5431ea315b1c30047c95f
Publikováno v:
Journal of the Meteorological Society of Japan; 2024, Vol. 102 Issue 6, p599-631, 33p
Autor:
Saori Nakashita, Takeshi Enomoto
The maximum likelihood ensemble filter (MLEF) can handle nonlinearity of observation operators more appropriately than conventional ensemble Kalman filters. Here we consider the observation space localization method for MLEF to enable application to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40ea9f0c93e445b99ea193548ac19038
https://doi.org/10.5194/egusphere-egu23-3761
https://doi.org/10.5194/egusphere-egu23-3761
Autor:
Takeshi Enomoto, Saori Nakashita
The Newton method, which requires the Hessian matrix, is prohibitively expensive in adjoint-based variational data assimilation (VAR). It may be rather attractive for ensemble-based VAR because the ensemble size is usually several orders of magnitude
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a40d1169abfce06303bca5c5c81924
https://doi.org/10.5194/egusphere-egu23-3086
https://doi.org/10.5194/egusphere-egu23-3086