Cloud physics
Cloud physics research is a vital branch of atmospheric sciences that investigates the physical processes governing cloud formation, development, and precipitation. This field is essential for understanding weather patterns, climate dynamics, and water cycle regulation. Researchers and students alike benefit from studying cloud microphysics, including droplet interactions and ice formation. JoVE Visualize enriches this exploration by pairing detailed PubMed articles with JoVE’s experiment videos, offering a dynamic view of the research methods and findings integral to meteorology and environmental science.
Traditional approaches in cloud physics often involve in situ measurements using cloud probes aboard aircraft and ground-based remote sensing techniques such as lidar and radar. Laboratory experiments simulating cloud microphysics help in interpreting cloud formation, droplet growth, and ice nucleation processes. These well-established methods provide critical data to improve weather models and climate forecasts. Researchers frequently consult resources like the Cloud Physics book and PDFs for comprehensive theoretical and practical insights into these processes.
Recent advancements in cloud physics research embrace high-performance computing and machine learning to analyze vast atmospheric datasets, enhancing the accuracy of cloud representation in climate models. Novel airborne platforms equipped with sophisticated sensors enable detailed observation of microphysical cloud properties. Integrating these data streams with numerical simulations offers promising avenues for better understanding complex phenomena such as cloud electrification and aerosol-cloud interactions. These innovations support assessments that answer questions like 'What is the physics behind clouds?' and explore debates on whether 'cloud microphysics is real.'
Bintao Fu, Zhiwen Zhang, Zefu Liu, Kang Wang, Liwei Song, Wenkai Li, Vasily A Kostin, Alexander A Silaev, Longzhen Zhuang, Chenhui Lu, Yi Liu
Kyle Jorgensen, Alexey Silakov
Jorge Silva, Martin Plöschner, Karl Bertling, Mukund Ghantala, Tim Gillespie, Jari Torniainen, Jeremy Herbert, Yah Leng Lim, Thomas Taimre, Xiaoqiong Qi, Bogdan C Donose, Tao Zhou, Hoi-Shun Lui, Dragan Indjin, Yingjun Han, Lianhe Li, Alexander Valavanis, Edmund H Linfield, A Giles Davies, Paul Dean, Aleksandar D Rakić
Hongye Wang, Zhenyu Zhao, Jiang Yu, Chenhao Zhang, Ye Dai, Takeshi Moriyasu, Yuya Ishikawa, Hui Li, Masahiko Tani
Linlong Tang, Yu Jia, Shan Yang, Xinhao Wen, Jiduo Dong, Peng Luo, Wei Wei, Haofei Shi
Lu Li, Feng Qin, Zhiguo Zhang, Tao Jia
Ying Liu, Tao Luo, Kaixuan Yang, Haoda Yang, Chun Qing, Gang Sun, Qing Liu, Xuebin Li, Shengcheng Cui, Ningquan Weng
Mengmeng Shen, Liangbo He, Haihua Zhang, Lihong Ma, Yong Li