文献
J-GLOBAL ID:201802259058246269
整理番号:18A0800484
洪水予測のためのデータ同化における観測インパクト,領域長およびパラメータ推定【JST・京大機械翻訳】
Observation impact, domain length and parameter estimation in data assimilation for flood forecasting
著者 (7件):
Cooper E.S.
(Department of Meteorology, University of Reading, United Kingdom)
,
Dance S.L.
(Department of Meteorology, University of Reading, United Kingdom)
,
Dance S.L.
(Department of Mathematics and Statistics, University of Reading, United Kingdom)
,
Garcia-Pintado J.
(MARUM Center for Marine Environmental Sciences and Department of Geosciences, University of Bremen, Germany)
,
Nichols N.K.
(Department of Meteorology, University of Reading, United Kingdom)
,
Nichols N.K.
(Department of Mathematics and Statistics, University of Reading, United Kingdom)
,
Smith P.J.
(Department of Mathematics and Statistics, University of Reading, United Kingdom)
資料名:
Environmental Modelling & Software
(Environmental Modelling & Software)
巻:
104
ページ:
199-214
発行年:
2018年
JST資料番号:
W1588A
ISSN:
1364-8152
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)