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Sid-Ahmed Boukabara on Muck Rack

Sid-Ahmed Boukabara

As seen in: Color Research & Application, SpaceNews
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Articles

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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AI for Earth observation and numerical weather prediction

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By Sid-Ahmed Boukabara, Brian Berger
| SpaceNews Verified
by Sid-Ahmed Boukabara — April 17, 2019 After substantial investments to build and launch sensors designed to observe the atmosphere, numerical weather and climate prediction have benefited greatly from the assimilation of satellite data.The overall improvement in forecasts include advances in modeling, computer power and observations. Satellite observations have also enabled fantastic advances in situational awareness for forecasters.
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Improvements on the ice cloud modeling capabilities of the Community Radiative Transfer Model

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By Ping Yang, Fuzhong Weng, Bingqi Yi, Quanhua Liu, Paul Delst, Sid-Ahmed Boukabara
| Color Research & Application Verified
Noticeable improvements on the ice cloud modeling capabilities of the Community Radiative Transfer Model (CRTM) are reported, which are based on the most recent advances in understanding ice cloud microphysical (particularly, ice particle habit/shape characteristics) and optical properties.
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