文献
J-GLOBAL ID:202202276195662149
整理番号:22A0703092
雷クラスタと機械学習を用いた深い対流活動のモデル化【JST・京大機械翻訳】
Modelling deep convective activity using lightning clusters and machine learning
著者 (8件):
Shi Manxing
(School of Geography and Information Engineering, China University of Geosciences, Wuhan, China)
,
Zhang Wei
(School of Geography and Information Engineering, China University of Geosciences, Wuhan, China)
,
Fan Peng
(NARI Group (State Grid Electric Power Research Institute) Co., Ltd., Nanjing, China)
,
Fan Peng
(Wuhan NARI Limited Liability Company, State Grid Electric Power Research Institute, Wuhan, China)
,
Chen Qihao
(School of Geography and Information Engineering, China University of Geosciences, Wuhan, China)
,
Liu Zhipeng
(School of Geography and Information Engineering, China University of Geosciences, Wuhan, China)
,
Li Qin
(School of Geography and Information Engineering, China University of Geosciences, Wuhan, China)
,
Liu Xiuguo
(School of Geography and Information Engineering, China University of Geosciences, Wuhan, China)
資料名:
International Journal of Climatology
(International Journal of Climatology)
巻:
42
号:
2
ページ:
952-973
発行年:
2022年
JST資料番号:
E0905A
ISSN:
0899-8418
CODEN:
IJCLEU
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)