DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

The Decision Support System for improved Tsunami Early Warning in Indonesia: Approach and Implementation

Riedlinger, Torsten and Steinmetz, Tilmann and Raape, Ulrich and Teßmann, Sven and Wnuk, Monika and Strobl, Christian and Mikusch, Eberhard and Dech, Stefan (2009) The Decision Support System for improved Tsunami Early Warning in Indonesia: Approach and Implementation. 33rd International Symposium on Remote Sensing of Environment (ISRSE), 4.-8. Mai 2009, Stresa, Italien.



In recent years numerous tsunami events in the Indian Ocean have shown how vulnerable human society and the environment is to this sudden-onset type of disaster. Especially the December 2004 tsunami demonstrated the need for an effective tsunami early warning system for the Indian Ocean. The German-Indonesian Early Warning System (GITEWS) project uses the best sensor technologies available today to detect indicators or evidence for a tsunami, combining those information with up-to-date modelling techniques and integrating them in a newly developed Decision Support System. Combining a-priori knowledge, simulation runs and analysis results with real-time information from different types of sensors, the newly developed Decision Support System (DSS) serve as a back-bone to allow an assessment for the tsunami threat at the earliest time possible and support the decision maker whether to issue a tsunami warning or not. GITEWS therefore adds additional components in order to achieve the best situation awareness possible by compiling a huge scenario-based repository of a-priori knowledge: A tsunami simulation system generates a large number of pre-calculated tsunami scenarios; in case of a potential tsunami, sensor observations can be compared and matched with these scenarios in order to find the most likely tsunami scenario descriptions, and a risk and vulnerability analysis component that helps to assess probable consequences and impacts on coastal communities exposed to tsunamis. Once the decision to disseminate a warning has been made, the DSS is able to generate regionalized warning messages, which are then transmitted to different dissemination systems using the standardized Common Alerting Protocol (CAP).

Item URL in elib:https://elib.dlr.de/64526/
Document Type:Conference or Workshop Item (Speech)
Title:The Decision Support System for improved Tsunami Early Warning in Indonesia: Approach and Implementation
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Riedlinger, Torstentorsten.riedlinger (at) dlr.deUNSPECIFIED
Steinmetz, Tilmanntilmann.steinmetz (at) dlr.deUNSPECIFIED
Raape, UlrichUlrich.Raape (at) dlr.deUNSPECIFIED
Teßmann, SvenSven.Tessmann (at) dlr.deUNSPECIFIED
Wnuk, Monikamonika.wnuk (at) dlr.deUNSPECIFIED
Strobl, ChristianChristian.Strobl (at) dlr.deUNSPECIFIED
Mikusch, Eberhardeberhard.mikusch (at) dlr.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:May 2009
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:tsunami early warning, decision support system, GITEWS, disaster management, situation awareness
Event Title:33rd International Symposium on Remote Sensing of Environment (ISRSE)
Event Location:Stresa, Italien
Event Type:international Conference
Event Dates:4.-8. Mai 2009
Organizer:ISRSE Committee
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Projekt sicherheitsrelevante Erdbeobachtung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Environment and Security
Deposited By: Riedlinger, Dr.rer.nat. Torsten
Deposited On:16 Sep 2010 12:52
Last Modified:31 Jul 2019 19:28

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.