Chao Xiong - Profile and Journalist Details
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Verified
Managing Editor, Sahan Journal
Saint Paul, Minneapolis
Beats
tutorials and garden travel destinations. plant profilesTeresa writes about all things gardening -- garden features
Content
Interpretable Machine Learning for Thermospheric Mass Density Modeling Using GRACE/GRACE‐FO Satellite Data
By Qian Pan, Chao Xiong Verified, Shunzu Gao, Zhou Chen Verified| Wiley Online Library Verified 1 Introduction Thermospheric mass density (TMD) is an important parameter in the Earth's thermosphere that causes atmospheric drag on the low-Earth orbit (LEO) satellites. Atmospheric drag, as a typical non-conservative force, can lead to the decay of satellite orbits and increase the risk of collisions during extreme space weather conditions (e.g., Dang et al., 2022; Zhang et al., 2022). Therefore, predicting the TMD is crucial for practical operation of satellite missions.
Advancing Propylene Epoxidation: The Role of Ethyl Acetate Autoxidation via Cobalt‐Nickel Catalyzed C(acyl)‐O Bond Scission
By Yaorong He, Chao Xiong Verified, Luotian Lv, Dongpo Li| Wiley Online Library Verified Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.
Interpretable Machine Learning for Thermospheric Mass Density Modeling Using GRACE/GRACE‐FO Satellite Data
By Qian Pan, Chao Xiong Verified, Shunzu Gao, Zhou Chen Verified| Wiley Online Library Verified 1 Introduction Thermospheric mass density (TMD) is an important parameter in the Earth's thermosphere that causes atmospheric drag on the low-Earth orbit (LEO) satellites. Atmospheric drag, as a typical non-conservative force, can lead to the decay of satellite orbits and increase the risk of collisions during extreme space weather conditions (e.g., Dang et al., 2022; Zhang et al., 2022). Therefore, predicting the TMD is crucial for practical operation of satellite missions.
Company Info
Sahan Journal
Sahan Journal is a nonprofit digital news organization based in Minnesota, established in 2019 by journalist Mukhtar M. Ibrahim. The organization focuses on providing news and information to immigrant communities and communities of color in Minnesota, with a mission to promote racial equity through its journalism. The journalistic services offered by Sahan Journal include reporting on local government policies, environmental issues, criminal justice matters, and arts and culture events. It also covers education and health topics relevant to these communities. Sahan Journal is dedicated to investigative and accountability journalism, aiming to highlight stories and voices that have been historically overlooked by mainstream media. With a budget of $3 million and a team of 23 full-time staff members, Sahan Journal plays a crucial role in serving its audience by delivering tailored news and information that meets their needs.
Saint Paul, Minnesota, United States
+1 612-548-4344
Founded: 2019