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Articles

Estimating full longwave and shortwave radiative transfer with neural networks of varying complexity

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By Ryan Lagerquist, David Turner, Imme Ebert-Uphoff, Jebb Q. Stewart
| ametsoc.org
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Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

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By Sid-Ahmed Boukabara, Stephen G. Penny, Vladimir Krasnopolsky, Jebb Q. Stewart
| Bulletin of the American Meteorological Society (BAMS)
Keywords: Artificial intelligence; Data mining; Machine learning; Numerical weather prediction/forecasting; Remote sensing; Satellite observations The Earth and environmental sciences (collectively Earth science in what follows) stand to benefit from leveraging rapid advances in artificial intelligence (AI) from diverse applied science fields due to the combination of fast paced increases in data availability and computational capabilities.
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