文献
J-GLOBAL ID:202102226510946808
整理番号:21A0676594
ニューヨーク州におけるPM_2.5濃度の推定:機械学習を用いた表面PM_2.5に及ぼす垂直混合の影響の理解【JST・京大機械翻訳】
Estimation of PM2.5 Concentrations in New York State: Understanding the Influence of Vertical Mixing on Surface PM2.5 Using Machine Learning
著者 (6件):
Hung Wei-Ting
(Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12222, USA)
,
Lu Cheng-Hsuan (Sarah)
(Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12222, USA)
,
Lu Cheng-Hsuan (Sarah)
(Joint Center for Satellite Data Assimilation, Boulder, CO 80301, USA)
,
Alessandrini Stefano
(Research Applications Laboratory, National Center of Atmospheric Research, Boulder, CO 80305, USA)
,
Kumar Rajesh
(Research Applications Laboratory, National Center of Atmospheric Research, Boulder, CO 80305, USA)
,
Lin Chin-An
(Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY 12222, USA)
資料名:
Atmosphere (Web)
(Atmosphere (Web))
巻:
11
号:
12
ページ:
1303
発行年:
2020年
JST資料番号:
U7137A
ISSN:
2073-4433
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)