Alessandro Damiani

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Speaker, Author, Co-Author

Mon. May 27, 2024 1:45 PM - 3:15 PM 104 (International Conference Hall, Makuhari Messe)

[J] Oral
| A (Atmospheric and Hydrospheric Sciences )
| A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS09] Atmospheric Chemistry

3:00 PM - 3:15 PM

[AAS09-18] Long-term observations of planetary-boundary-layer mean sulfur dioxide concentrations by MAX-DOAS in Japan, including the COVID-19 pandemic period

*Kometani Sota¹, Hitoshi Irie¹, Alessandro Damiani² (1.Center for Environmental Remote Sensing Chiba University, 2.NIES/CCCA)

Thu. May 30, 2024 9:00 AM - 10:15 AM 304 (International Conference Hall, Makuhari Messe)

[E] Oral
| A (Atmospheric and Hydrospheric Sciences )
| A-TT Technology &Techniques

[A-TT30] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

9:00 AM - 9:15 AM

[ATT30-06] Estimation of past and future snow depth over Japan using machine learning techniques

★Invited Papers

*Noriko N Ishizaki¹, Hidetaka Sasaki¹, Alessandro Damiani¹ (1.National Institute for Environmental Studies)

9:30 AM - 9:45 AM

[ATT30-08] Machine learning regression for building climate and weather-driven scenarios

*Alessandro Damiani¹, Noriko N Ishizaki¹, Hidetaka Sasaki¹, Hitoshi Irie², Dmitry Belikov², Sarah Feron³, Raul R. Cordero⁴ (1.National Institute for Environmental Studies, 2.CEReS, Chiba University, 3.University of Groningen, The Netherlands, 4.Universidad de Santiago de Chile, Chile)

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