ד"ר מיכל סגל-רוזנהיימר
מדעים מדויקים
Atmospheric Processes and observations, machine learning applications
Study complex processes and the ways they can be better represented in predictive global climate models.
מדעים מדויקים
- מדעי האטמוספירה
- גיאופיזיקה
Che Haochi, M. Segal-Rozenhaimer, **Lu Zhang, **Caroline Dang, Paquita Zuidema , Amie Dobracki, Arthur Sedlacek , Hugh Coe , Huihui Wu , Jonathan Taylor , Jens Redemann , Jim Haywood, Cloud processing and weeklong ageing significantly affect the biomass burning aerosols over the south-eastern Atlantic, Communications Earth & Environment, https://doi.org/10.1038/s43247-022-00517-3, (2022).
Che, H., Segal-Rozenhaimer, M., **Zhang, L., **Dang, C., Zuidema, P., Sedlacek III, A.J., Zhang, X. and Flynn, C., 2022. Seasonal variations in fire conditions are important drivers to the trend of aerosol optical properties over the south-eastern Atlantic, Atmos. Chem. Phys., 22, 8767–8785, 2022, https://doi.org/10.5194/acp-22-8767-2022, (2022).
Lu Zhang, Michal Segal-Rozenhaimer, **Haochi Che, **Caroline Dang, Arthur J. Sedlacek III, Ernie R. Lewis, Amie Dobracki, Jenny P.S. Wong, Paola Formenti, Steven G. Howell, and Athanasios Nenes, Light Absorption by Brown Carbon over the South-East Atlantic Ocean, Atmos. Chem. Phys., 22, 9199–9213, 2022, https://doi.org/10.5194/acp-22-9199-2022, (2022).
Michal Segal Rozenhaimer, Alan Li, Kamalika Das and Ved Chirayath, Cloud Detection Algorithm for Multi-Modal Satellite Imagery using Convolutional Neural-Networks (CNN), Remote Sensing of Environment, Remote Sensing of Environment 237, (2020).
