Oral session

Exploration of machine learning (ML) approaches in the context of reanalysis

2024年10月30日(水) 17:30 〜 18:15 Ito Hall (Ito International Research Center)

Chair:Laura Slivinski

講演取消

[OX1-02] Comparison of offline data assimilation methods using WW2 US Naval weather observations: a case study

*Praveen Rao Teleti¹, Ed Hawkins¹ (1. NCAS, University of Reading, UK)

17:30 〜 17:45

[OX1-03] Machine Learning-Based Estimation of Cloud Condensation Nuclei and Cloud Droplet Number Concentration from Reanalysis Products

*Katherine H Breen^1,2, Donifan Barahona¹ (1. NASA Goddard Space Flight Center, 2. Morgan State University)

17:45 〜 18:00

[OX1-04] Enhancing probabilistic monthly precipitation forecast in Argentina combining data mining techniques and reanalysis data

*Eugenia Maria Garbarini¹, Marcela Hebe González^2,3,4, Alfredo Luis Rolla^2,4 (1. Servicio Meteorológico Nacional, SMN, Buenos Aires, Argentina, 2. CIMA – CONICET, Buenos Aires, Argentina., 3. DCAO, FCEN, Universidad de Buenos Aires, Buenos Aires, Argentina., 4. Institut Franco-Argentin d'etudes Sur Le Climat Et Ses Impacts, Unite Mixte Internationale, Buenos Aires, Argentina)

18:00 〜 18:15

[OX1-05] High spatial resolution climate scenarios built by reanalysis-based machine learning models

*Alessandro Damiani¹, Noriko N Ishizaki ¹, Hidetaka Sasaki¹, Sarah Feron², Raul R Cordero³ (1. Center for Climate Change Adaptation, National Institute for Environmental Studies, 2. University of Groningen, Leeuwarden, The Netherlands, 3. Universidad de Santiago de Chile, Santiago, Chile)