From data to action in flood forecasting leveraging graph neural networks and digital twin visualization

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: From data to action in flood forecasting leveraging graph neural networks and digital twin visualization ; volume:14 ; number:1 ; day:10 ; month:8 ; year:2024 ; pages:1-15 ; date:12.2024
Scientific reports ; 14, Heft 1 (10.8.2024), 1-15, 12.2024

Creator: Roudbari, Naghmeh Shafiee
Punekar, Shubham Rajeev
Patterson, Zachary
Eicker, Ursula
Poullis, Charalambos

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-68857-y

URN: urn:nbn:de:101:1-2410292103347.535639188330

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:20 AM CEST

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Roudbari, Naghmeh Shafiee
Punekar, Shubham Rajeev
Patterson, Zachary
Eicker, Ursula
Poullis, Charalambos
SpringerLink (Online service)

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From data to action in flood forecasting leveraging graph neural networks and digital twin visualization

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Other Objects (12)

VISUALIZATION OF FLOOD SCENARIOS IN GERMANY IN 2021 AND FORECASTING FLOOD USING MACHINE-LEARNING MODELS

Foreword "Advances in flood forecasting"

Recent advances in flood forecasting and flood risk assessment

Public perception of flood risks, flood forecasting and mitigation

Weather radar enhanced flash flood forecasting

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Foreword "Advances in flood forecasting"

Recent advances in flood forecasting and flood risk assessment

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Foreword "Advances in flood forecasting"

Recent advances in flood forecasting and flood risk assessment

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Leveraging BC6H Texture Compression and Filtering for Efficient Vector Field VisualizationVision, Modeling, and Visualization

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