Clustering of ATTILA Trajectories using a Neuroscience Algorithm (QuickBundles) for the Characterization of Emission Transport Pathways

Research output: Contribution to conference › Poster › Scientific

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Original language	English
Number of pages	1
Publication status	Published - 2021
Event	10th EMAC Symposium - Duration: 31 May 2021 → 2 Jun 2021

Conference	10th EMAC Symposium
Period	31/05/21 → 2/06/21

Keywords

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@conference{37b5f878dede4039a30c29e647ba7b42,

title = "Clustering of ATTILA Trajectories using a Neuroscience Algorithm (QuickBundles) for the Characterization of Emission Transport Pathways",

keywords = "Clustering algorithms, Lagrangian, Machine Learning, Trajectory clustering, Atmospheric dynamics",

author = "J. Maruhashi and I.C. Dedoussi and V. Grewe",

year = "2021",

language = "English",

note = "10th EMAC Symposium ; Conference date: 31-05-2021 Through 02-06-2021",

}

TY - CONF

T1 - Clustering of ATTILA Trajectories using a Neuroscience Algorithm (QuickBundles) for the Characterization of Emission Transport Pathways

AU - Maruhashi, J.

AU - Dedoussi, I.C.

AU - Grewe, V.

PY - 2021

Y1 - 2021

KW - Clustering algorithms

KW - Lagrangian

KW - Machine Learning

KW - Trajectory clustering

KW - Atmospheric dynamics

M3 - Poster

T2 - 10th EMAC Symposium

Y2 - 31 May 2021 through 2 June 2021

ER -