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Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques.

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Title: Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques.
Authors: Mostajabi, Amirhossein1, Finney, Declan L.2, Rubinstein, Marcos3, Rachidi, Farhad1 farhad.rachidi@epfl.ch
Source: NPJ Climate & Atmospheric Science. 11/8/2019, Vol. 2 Issue 1, pN.PAG-N.PAG. 1p.
Database: Environment Complete
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PubType: Academic Journal
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  Data: Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques.
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  Data: <searchLink fieldCode="AR" term="%22Mostajabi%2C+Amirhossein%22">Mostajabi, Amirhossein</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Finney%2C+Declan+L%2E%22">Finney, Declan L.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Rubinstein%2C+Marcos%22">Rubinstein, Marcos</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Rachidi%2C+Farhad%22">Rachidi, Farhad</searchLink><relatesTo>1</relatesTo><i> farhad.rachidi@epfl.ch</i>
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  Data: <searchLink fieldCode="JN" term="%22NPJ+Climate+%26+Atmospheric+Science%22">NPJ Climate & Atmospheric Science</searchLink>. 11/8/2019, Vol. 2 Issue 1, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=139568506
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        Value: 10.1038/s41612-019-0098-0
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        Text: English
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