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A Neural Network Parametrization of Volumetric Cloud Fraction Profiles Using Satellite Observations and MERRA‐2 Reanalysis Meteorological Data

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By Shan Zeng, Kuan-Man Xu, Yongxiang Hu, Coherent Applications
| Wiley Online Library Verified
1 Introduction Clouds cover approximately 67% of Earth's surface and play a critical role in regulating both the hydrological cycle and the Earth's radiative energy budget (e.g., Allen & Ingram, 2002). Cloud feedback, the amplification or dampening of climate change due to cloud-induced radiative imbalances, remains one of the critical uncertainties in climate change projections (e.g., Bony & Dufresne, 2005; Boucher et al., 2013; Randall et al., 2003).
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