JpGU-AGU Joint Meeting 2020

Presentation information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[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)

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

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

Keywords:k-means method, Argo, signature

A k-means clustering of Argo profiles is performed. By using the signature of each data sequence as the coordinate system for feature space, major ocean ciculation patterns are better represented with distinct clusters, than by using conventional Temperature and Salinity coordinate. We will discuss why the signature, which is a key cencept in rough path theory, is relevant to representing a profile. Implications for its usage in data assimilation will also be discussed.