GI_Forum 2015, Volume 3 Journal for Geographic Information Science
Geospatial Minds for Society
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2015, Volume 3 Journal for Geographic Information Science
Geospatial Minds for Society ISSN 2308-1708 Online Edition ISBN 978-3-87907-558-4 Print Edition ISBN 978-3-7001-7826-2 Online Edition
doi:10.1553/giscience2015
GI_Forum, 2015Volume 3 2015, 645 pages Print edition is available at Wichmann-Verlag, Berlin
Hermann Klug,
Liviu Oana
S. 600 - 609 doi:10.1553/giscience2015s600 Verlag der Österreichischen Akademie der Wissenschaften
Abstract: In the course of climate change, extreme weather events and their consequences are likely to increase in the next decades. To enable publicly available predictions preceding an event, we operate an Advanced Research Weather Research & Forecasting (WRF-ARW) limited area model to ensure pro-active mitigation strategies before the start of a storm event. To demonstrate the actual model performance for multiple stakeholders, we compared the prediction with publicly available measurements from nearby stations recorded during the extreme event, starting in the evening of October 22nd, 2014 in the Mondsee catchment. In the beginning, the model prediction highly underestimated the rainfall at most of the weather stations. However, the prediction accuracy increased from 54 to 30 hours in advance to the event. For the Mondsee weather station located inside the catchment, the predictions 30 and 6 hours in advance had an accuracy of -32% and -28%, respectively. However, the prediction was challenged by extremely unstable weather conditions. Nevertheless, the prediction forecasted an event where flooding was a very likely consequence, considering the spatial-temporal amount of rainfall predicted. Thus, an early warning message to responsible stakeholders would have been appropriate for pro-active mitigation action in this case. Published Online: 2015/06/29 12:42:23 Object Identifier: 0xc1aa5576 0x00324b0e Rights:https://creativecommons.org/licenses/by-nd/4.0/
The Journal for Geographic Information Science issue 1-2015 presents peer-reviewed papers
presented at the Geoinformatics
Forum (www.gi-forum.org), held in Salzburg from July 7-10,
2015. The annual GI_Forum symposium provides a platform for dialogue among geospatial minds
in an ongoing effort to support the creation of an informed GISociety.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |