Kalpesh Ravindra Patil

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Speaker, Author, Co-Author

Wed. May 29, 2024 3:30 PM - 4:45 PM 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

4:30 PM - 4:45 PM

[ATT30-05] Predictability of El Niño-Southern Oscillation (ENSO) Index Beyond 2-Year Lead Time Using Seasonally Optimized Deep Learning Models

*Kalpesh Ravindra Patil¹, Takeshi Doi², J. V. Ratnam², Swadhin Behera² (1.Young Research Fellow, APL, VAiG, JAMSTEC, 2.APL, VAiG, JAMSTEC)

Wed. May 29, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

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

5:15 PM - 6:45 PM

[ATT30-P05] Skillful prediction of the Indian Ocean Dipole using machine learning techniques

*Venkata Ratnam Jayanthi¹, Swadhin Behera¹, Masami Nonaka¹, Kalpesh Ravindra Patil¹ (1.Application Laboratory, JAMSTEC)

Thu. May 30, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

[E] Poster
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI24] Data assimilation: A fundamental approach in geosciences

5:15 PM - 6:45 PM

[MGI24-P06] Predictability of Kuroshio path using deep learning based uNet model at 30- and 60- days lead time

*Kalpesh Ravindra Patil¹, Toru Miyama², Yasumasa Miyazawa² (1.Young Research Fellow, APL, VAiG, JAMSTEC, 2.APL, VAiG, JAMSTEC)