[A-CG50] Earth & Environmental Sciences and Artificial Intelligence

convener:Tomohiko Tomita(Faculty of Advanced Science and Technology, Kumamoto University), Shigeki Hosoda(Japan Marine-Earth Science and Technology), Ken-ichi Fukui(Osaka University), Satoshi Ono(Kagoshima University)

In recent years, we have been required to explore various gigantic data leading earth and environmental sciences such as modern meteorology, oceanography, hydrology and so on, to accomplish Society 5.0 and Sustainable Development Goals (SDGs). To examine such environmental big data faithfully, it may be required to use the techniques of artificial intelligence (AI) including spatiotemporal data modeling of AI, prediction and detection by machine learning, techniques of automated data mining, and so forth. At the present, AI is also expected to lead the data-driven science as a bridge connecting science and big data. This session first calls for various studies applying the techniques of AI to global environmental issues and then will discuss them in both natural and information sciences.

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[ACG50-P01] A precipitation prediction using an artificial neural network model based on observation time series data

He Zhang¹, Naoki Matsumoto¹, *Tomohiko Tomita² (1.Graduate School of Science and Technology, Kumamoto University, 2.Faculty of Advanced Science and Technology, Kumamoto University)

[ACG50-P02] Climate Prediction by Using Periodic Convolutional Recurrent Network

*Ekasit Phermphoonphiphat¹, Tomohiko Tomita², Masayuki Numao¹, Ken-ichi Fukui¹ (1.Osaka University, 2.Kumamoto University)

[ACG50-P03] K-means clustering of Argo profiles for identifying circulation patterns

*Nozomi Sugiura¹ (1.Japan Agency of Marine-Earth Science and Technology)

[ACG50-P04] A Preliminary Study on Algo Float Trajectory Prediction using Multimodal Convolutional LSTM

*Serina Higashi¹, Takahiro Kinoshita¹, Shigeki Hosoda³, Ken-ichi Fukui², Satoshi Ono¹ (1.Kagoshima University, 2.Osaka University, 3.Japan Marine-Earth Science and Technology)