Causal Discovery to Improve Machine Learning-Based Tropical Cyclone Intensity Predictions

Sudheesh, Saranya Ganesh and Beucler, Tom Georges and Tam, Frederick Iat-Hin and Gerhardus, Andreas and Runge, Jakob (2023) Causal Discovery to Improve Machine Learning-Based Tropical Cyclone Intensity Predictions. 103rd AMS annual meeting, Denver, CO, USA und Online.

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Official URL: https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/416696

Item URL in elib:

https://elib.dlr.de/194315/

Document Type:

Conference or Workshop Item (Speech)

Title:

Causal Discovery to Improve Machine Learning-Based Tropical Cyclone Intensity Predictions

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Sudheesh, Saranya Ganesh	University of Lausanne	UNSPECIFIED	UNSPECIFIED
Beucler, Tom Georges	University of Lausanne	UNSPECIFIED	UNSPECIFIED
Tam, Frederick Iat-Hin	University of Lausanne	UNSPECIFIED	UNSPECIFIED
Gerhardus, Andreas	UNSPECIFIED	https://orcid.org/0000-0003-1868-655X	UNSPECIFIED
Runge, Jakob	UNSPECIFIED	https://orcid.org/0000-0002-0629-1772	UNSPECIFIED

Date:

January 2023

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

causal feature selection, tropical cyclones, multiple linear regression, statistical intensity prediction

Event Title:

103rd AMS annual meeting

Event Location:

Denver, CO, USA und Online

Event Type:

international Conference

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

other

DLR - Research area:

Raumfahrt

DLR - Program:

R - no assignment

DLR - Research theme (Project):

R - no assignment

Location:

Jena

Institutes and Institutions:

Institute of Data Science > Data Analysis and Intelligence

Deposited By:

Gerhardus, Andreas

Deposited On:

14 Apr 2023 11:32

Last Modified:

14 Apr 2023 11:32

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