Item type |
デフォルトアイテムタイプ(フル)(1) |
公開日 |
2018-01-12 |
タイトル |
|
|
タイトル |
Mesoscale Hybrid Data Assimilation System based on JMA Nonhydrostatic Model |
|
言語 |
en |
作成者 |
Ito, Kosuke
Kunii, Masaru
Kawabata, Takuya
Saito, Kazuo
Aonashi, Kazumasa
Le, Duc
|
アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
権利情報 |
|
|
言語 |
ja |
|
権利情報 |
© 2016 American Meteorological Society |
主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Circulation/ Dynamics |
主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Convective clouds |
主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Atm/Ocean Structure/ Phenomena |
主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Tropical cyclones |
主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Forecasting |
主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Numerical weather prediction/forecasting |
主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Models and modeling |
主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Data assimilation |
内容記述 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
This paper discusses the benefits of using a hybrid ensemble Kalman filter and four-dimensional variational (4D-Var) data assimilation (DA) system rather than a 4D-Var system employing the National Meteorological Center (NMC, now known as NCEP) method (4D-Var-Bnmc) to predict severe weather events. An adjointbased 4D-Var system was employed with a background error covariance matrix B constructed from theNMC method and perturbations in a local ensemble transform Kalman filter system. The DA systems are based on the Japan Meteorological Agency’s nonhydrostatic model. To reduce the sampling noise, three types of implementation (the spatial localization, spectral localization, and neighboring ensemble approaches) were tested. The assimilation of a pseudosingle observation of sea level pressure located at a tropical cyclone (TC) center yielded analysis increments physically consistent with what is expected of a mature TC in the hybrid systems at the beginning of the assimilation window, whereas analogous experiments performed using the 4D-Var-Bnmc system did not. At the end, the structures of the 4D-Var-based increments became similar to one another, while the analysis increment by the 4D-Var-Bnmc system was broad in the horizontal direction. Realistic DA experiments showed that all of the hybrid systems provided initial conditions that yielded more accurate TC track and intensity forecasts than those achievable by the 4D-Var-Bnmc system. The hybrid systems also yielded some statistically significant improvements in forecasting local heavy rainfall events in terms of fraction skill scores when a 160 km 3 160 km window size was used. The overall skills of the hybrid systems were relatively independent of the choice of implementation. |
内容記述 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
論文 |
出版者 |
|
|
言語 |
en |
|
出版者 |
American Meteorological Society |
言語 |
|
|
言語 |
eng |
資源タイプ |
|
|
資源タイプ |
journal article |
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
識別子 |
|
|
識別子 |
http://hdl.handle.net/20.500.12000/37528 |
|
識別子タイプ |
HDL |
関連情報 |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1175/MWR-D-16-0014.1 |
関連情報 |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
info:doi/10.1175/MWR-D-16-0014.1 |
収録物名 |
|
|
言語 |
en |
|
収録物名 |
MONTHLY WEATHER REVIEW |
書誌情報 |
巻 144,
p. 3417-3439,
発行日 2016-08-26
|