首页|Study Findings on Artificial Intelligence Reported by Researchers at Johannes Gutenberg University Mainz [Artificial intelligence (AI)- derived 3D cloud tomography from geostationary 2D satellite data]
Study Findings on Artificial Intelligence Reported by Researchers at Johannes Gutenberg University Mainz [Artificial intelligence (AI)- derived 3D cloud tomography from geostationary 2D satellite data]
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NETL
NSTL
Copernicus Gesellschaft Mbh
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting from Mainz, Germany, by NewsRx journalists, research stated, “Satellite instruments provide high-temporal- resolution data on a global scale, but extracting 3D information from current instruments remains a challenge.” Financial supporters for this research include Carl-zeiss-stiftung. Our news reporters obtained a quote from the research from Johannes Gutenberg University Mainz: “Most observational data are two-dimensional (2D), offering either cloud top information or vertical profiles. We trained a neural network (Res-UNet) to merge high-resolution satellite images from the Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) with 2D CloudSat radar reflectivities to generate 3D cloud structures. The Res-UNet extrapolates the 2D reflectivities across the full disk of MSG SEVIRI, enabling a reconstruction of the cloud intensity, height, and shape in three dimensions. The imbalance between cloudy and clear-sky CloudSat profiles results in an overestimation of cloud-free pixels. Our root mean square error (RMSE) accounts for 2.99 dBZ. This corresponds to 6.6 % error on a reflectivity scale between -25 and 20 dBZ.”
Johannes Gutenberg University MainzMainzGermanyEuropeArtificial IntelligenceEmerging TechnologiesMachine Learning
NETL
NSTL
Copernicus Gesellschaft Mbh
