NDLI: A data assimilation scheme to improve the wave predictions in the Black Sea

Content Provider	IEEE Xplore Digital Library
Author	Butunoiu, D. Rusu, E.
Copyright Year	2015
Description	Author affiliation: Dept. of Mech. Eng., Univ. `Dunarea de Jos', Galaţi, Romania (Butunoiu, D.; Rusu, E.)
Abstract	The objective of the work is to evaluate a data assimilation scheme for improving the reliability of the wave predictions in the Black Sea. A wave modeling system, SWAN based, has been implemented in the Black Sea and it was extensively tested against both in situ and remotely sensed measurements. Subsequently, this system was focused on various coastal environments in a multi-level nested scheme. In order to assimilate the satellite data, for the wave generation level that covers the entire basin of the Black Sea, an Optimal Interpolation (OI) technique has been implemented. SWAN model simulations have been performed covering a 10-year time interval (1999-2008). For this period, Hs measurements from the following satellites were available: ERS-2, Poseidon, JASON-1, JASON-2, GEOSAT Follow-On (GFO), ENVISAT, TOPEX. The assimilation technique was performed for a time window of 24h considering the first 5 satellites for assimilation and the last two (ENVISAT and TOPEX) for validations. The results show that the assimilation scheme implemented induces a visible improvement of all the statistical parameters evaluated, increasing in this way the reliability of the wave predictions. The work is still ongoing being focused on the prediction of the major storms and as a further step all the satellites will be considered for assimilation, while validations are going to be performed against various in situ measurements.
Starting Page	1
Ending Page	6
File Size	508092
Page Count	6
File Format	PDF
e-ISBN	9781479987368
DOI	10.1109/OCEANS-Genova.2015.7271242
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-18
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Sea measurements Computational modeling Image color analysis Data assimilation Reliability Predictive models satellite data Black Sea waves SWAN data assimilation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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