Flood forecasting in transboundary catchments using the Open Modeling Interface

Fotopoulos, F; Makropoulos, C; Mimikou, MA

dc.contributor.author	Fotopoulos, F	en
dc.contributor.author	Makropoulos, C	en
dc.contributor.author	Mimikou, MA	en
dc.date.accessioned	2014-03-01T01:33:29Z
dc.date.available	2014-03-01T01:33:29Z
dc.date.issued	2010	en
dc.identifier.issn	1364-8152	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20451
dc.subject	3B42	en
dc.subject	3B42RT	en
dc.subject	Early warning	en
dc.subject	Evros	en
dc.subject	Flood forecasting	en
dc.subject	Open modeling interface	en
dc.subject	OpenMI	en
dc.subject	Rainfall - runoff	en
dc.subject	Remote sensing	en
dc.subject	Satellite	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Environmental	en
dc.subject.classification	Environmental Sciences	en
dc.subject.other	3B42	en
dc.subject.other	3B42RT	en
dc.subject.other	Early warning	en
dc.subject.other	Evros	en
dc.subject.other	Flood forecasting	en
dc.subject.other	Open modeling interface	en
dc.subject.other	OpenMI	en
dc.subject.other	Rainfall runoff	en
dc.subject.other	Catchments	en
dc.subject.other	Computer simulation	en
dc.subject.other	Flood control	en
dc.subject.other	Floods	en
dc.subject.other	NASA	en
dc.subject.other	Rain	en
dc.subject.other	Rain gages	en
dc.subject.other	Remote sensing	en
dc.subject.other	Runoff	en
dc.subject.other	Satellites	en
dc.subject.other	Standardization	en
dc.subject.other	Weather forecasting	en
dc.subject.other	catchment	en
dc.subject.other	data set	en
dc.subject.other	flood forecasting	en
dc.subject.other	rainfall	en
dc.subject.other	real time	en
dc.subject.other	remote sensing	en
dc.subject.other	satellite data	en
dc.subject.other	software	en
dc.subject.other	spatial resolution	en
dc.subject.other	sustainability	en
dc.subject.other	Bulgaria	en
dc.subject.other	Evros River	en
dc.subject.other	Greece	en
dc.subject.other	Turkey	en
dc.title	Flood forecasting in transboundary catchments using the Open Modeling Interface	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.envsoft.2010.06.013	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.envsoft.2010.06.013	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	Using satellite data for flood forecasting in catchments located in mid-latitudes is challenging to engineers and model developers, in no small part due to the plethora of data sets that need to be retrieved, combined, calibrated and used for simulation in real time. The differences between the various satellite rainfall data products and the continuous improvement in their quantity and quality render the development of a single software tool, able to read and process all the different data sets, particularly difficult. Even if such an endeavour was undertaken, the degree of flexibility and extensibility that such a tool would require to accommodate future versions of data sets, available in different file formats as well as different temporal and spatial resolution should not be underestimated. This paper describes the development of a flood forecasting system that addresses this issue through a modular architecture based on the use of the Open Modeling Interface (OpenMI) standard, which facilitates the interaction between a number of separate software components. It is suggested that this approach greatly simplifies programming and debugging and eliminates the need to create spatial and temporal transformation functions without significantly compromising the overall execution speed. The approach and system were tested for forecasting flood events within a particularly challenging transboundary catchment, the Evros catchment, extending between Greece, Bulgaria and Turkey. The system uses two sets of data sources, as an example (NASA's TRMM 3B42 and 3B42RT satellite data sets) to forecast flooding in the Evros catchment. Results indicate that OpenMI greatly facilitates the complex interaction of various software components and considerably increases the flexibility and extensibility of the overall system and hence its operational value and sustainability. (C) 2010 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Environmental Modelling and Software	en
dc.identifier.doi	10.1016/j.envsoft.2010.06.013	en
dc.identifier.isi	ISI:000282655200014	en
dc.identifier.volume	25	en
dc.identifier.issue	12	en
dc.identifier.spage	1640	en
dc.identifier.epage	1649	en