文献
J-GLOBAL ID:201802226396574078
整理番号:18A2081997
決定論的モデルと機械学習アルゴリズムを用いた西アジアにおけるエアロゾル光学深度の予測【JST・京大機械翻訳】
Prediction of aerosol optical depth in West Asia using deterministic models and machine learning algorithms
著者 (5件):
Nabavi Seyed Omid
(Department of Meteorology and Geophysics, University of Vienna, Faculty of Earth Sciences, Geography and Astronomy, UZA II, Althanstrasse 14, A-1010 Vienna, Austria)
,
Haimberger Leopold
(Department of Meteorology and Geophysics, University of Vienna, Faculty of Earth Sciences, Geography and Astronomy, UZA II, Althanstrasse 14, A-1010 Vienna, Austria)
,
Abbasi Reyhaneh
(The Austrian Academy of Sciences Acoustics Research Institute, Wohllebengasse 12-14, A-1040 Vienna, Austria)
,
Samimi Cyrus
(Faculty of Biology, Chemistry and Earth Sciences, University of Bayreuth, Universitaetsstr. 30, 95447 Bayreuth, Germany)
,
Samimi Cyrus
(Bayreuth Center of Ecology and Environmental Research, BayCEER, Dr. Hans-Frisch-Strasse 1-3, 95448 Bayreuth, Germany)
資料名:
Aeolian Research
(Aeolian Research)
巻:
35
ページ:
69-84
発行年:
2018年
JST資料番号:
W3266A
ISSN:
1875-9637
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)