Výsledky vyhledávání - "Tadashi, Fujita"

Akademický článek

The origin of lumbar subcutaneous edema: two case reports

Autor: Keiji Nakajima, MD, PhD, Tadashi Fujita, MD, Ryota Nakano, MD

Publikováno v: Radiology Case Reports, Vol 17, Iss 9, Pp 3209-3213 (2022)

Since magnetic resonance imaging (MRI) is widely used to evaluate complaints of low back pain, there have been many reports of lumbar subcutaneous edema (LSE). However, the mechanism underlying its development is unknown. We herein report 2 cases tha

Externí odkaz: https://doaj.org/article/6ae05b49395e472ead8da1d021fb1fc4

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Effects of Flow Dependency Introduced by Background Error in Frequent and Dense Assimilation of Radial Winds Using Observation Error Correlated in Time and Space

Autor: Tadashi Fujita, Hiromu Seko, Takuya Kawabata

Publikováno v: Monthly Weather Review. 150:481-503

We investigated the effect of flow dependency in the assimilation of high-density, high-frequency observations. Radial winds from a Doppler radar are assimilated using a regional hybrid four-dimensional variational data assimilation (4D-Var) scheme w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aeb8169a7e350b5cbe5b46074985b303
https://doi.org/10.1175/mwr-d-21-0121.1

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Akademický článek

Ensemble Kalman Filter data assimilation and storm surge experiments of tropical cyclone Nargis

Autor: Le Duc, Tohru Kuroda, Kazuo Saito, Tadashi Fujita

Publikováno v: Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 67, Iss 0, Pp 1-21 (2015)

Data assimilation experiments on Myanmar tropical cyclone (TC), Nargis, using the Local Ensemble Transform Kalman Filter (LETKF) method and the Japan Meteorological Agency (JMA) non-hydrostatic model (NHM) were performed to examine the impact of LETK

Externí odkaz: https://doaj.org/article/0b3d2078a25441278cc69536d1ed136b

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Akademický článek

Mesoscale Observing System Simulation Experiment (OSSE) to Evaluate the Potential Impact from a Geostationary Hyperspectral Infrared Sounder.

Autor: Tadashi FUJITA, Kozo OKAMOTO, Hiromu SEKO, Michiko OTSUKA, Hiromi OWADA, Masahiro HAYASHI

Publikováno v: Journal of the Meteorological Society of Japan; 2023, Vol. 101 Issue 5, p371-390, 20p

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