{"refrec":{"BRefID":36295,"RR":"<b>Sztobryn, M.</b> (2003). Forecast of storm surge by means of artificial neural network. <i>J. Sea Res. 49(4)</i>: 317-322. <a href=\"https://dx.doi.org/10.1016/s1385-1101(03)00024-8\" target=\"_blank\">https://dx.doi.org/10.1016/s1385-1101(03)00024-8</a>","BEntID":36295,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>J. Sea Res. 49(4)</i>: 317-322. <a href=\"https://dx.doi.org/10.1016/s1385-1101(03)00024-8\" target=\"_blank\">https://dx.doi.org/10.1016/s1385-1101(03)00024-8</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Sztobryn, M.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Sztobryn, M.","Englishabstract":"This study describes the construction and verification of a model of sea level changes during a storm surge, applying artificial neural network (ANN) methodology in hydrological forecasting in a tideless sea where the variation of water level is only wind generated. Some neural networks were tested to create the forecast model. The results of ANN were compared with observed sea-level values, and with the forecasts calculated by different routine methods. The results of verification show that the neural network methodology could be successfully applied in the routine, operational forecast service.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Forecast of storm surge by means of artificial neural network","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-06-11 01:31:26.158879","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"sea-level forecast; artifical neural network; Baltic Sea","OtherDescriptors":"Artificial neural networks","Notes":null,"AnaPub":2003,"MonPub":null,"DateUpdate":"2021-02-18","DateCreate":"2003-07-15","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000183922600009","VABBcode":null,"OpenAcc":0,"DOI":"10.1016/s1385-1101(03)00024-8"},"refs":null,"anarec":{"AnaID":36295,"PubliDate":2003,"Pagination":"317-322","XtraPublOfAnaID":null,"ISBN":null,"Volume":"49","Issue":"4","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":43261,"SerRR":"Journal of Sea Research. Elsevier/Netherlands Institute for Sea Research: Amsterdam; Den Burg.  ISSN 1385-1101; e-ISSN 1873-1414","StandardTitleSer":"Journal of Sea Research","ISSN":"1385-1101","AbbrevSer":"J. Sea Res.","StandardTitleMon":null,"StartPage":317,"Pages":6,"ToPubliDate":null,"BRefBibLvlCode":"S","SerNotes":null},"monrec":null,"serrec":null,"relations":[{"YBRefID":36284,"RefStrFull":"<b>Ohlson, M.; Omstedt, A.; Turner, D. (Ed.)</b> (2003). Proceedings of the 22nd Conference of the Baltic Oceanographers (CBO), Stockholm, Sweden, 25-29 November 2001. <i>Journal of Sea Research</i>, 49(4). Elsevier: Amsterdam.  227-374 pp.","RelID":10,"Relation":"Also appears in","StandardTitle":"Proceedings of the 22nd Conference of the Baltic Oceanographers (CBO), Stockholm, Sweden, 25-29 November 2001"}],"relationsRev":null,"addrec":{"Line1":"Oddzial Morski, ul. Waszyngtona 42,81-342","Email":"sztobryn@imgw.gydynia.pl","Line2":null,"EnvName":"Poland"},"othpubs":null,"ownerships":null,"authors":[{"AutName":"Sztobryn","Firstname":"Marzenna","Initials":"M.","Affiliation":null,"Discriminator":null,"CorporateFlag":0,"BEntID":36295,"AutID":5664,"OrderNr":1,"DegrID":null,"EditorFlag":0,"CorrespFlag":0,"IllustratorFlag":0,"ReviserFlag":0,"TranslatorFlag":0,"InsAcronym":null,"InsFSN":null,"ORCID":null,"PersID":null,"InsID":null}],"mapdetails":null,"datasets":null,"monographs":null,"monparts":null,"serparts":null,"BEntOpen":null,"BEntPrivate":null,"availability":[{"BInstID":56710,"LibID":36,"BRefID":36295,"EmbargoDate":null,"FullEmbargoDate":null,"PhysMedID":16,"hasOCRd":1,"ShelfLocCode":"56710","RFID":null,"PaidValue":null,"Medium":"Server","Description":"Interne VLIZ documenten","Acronym":"VLIZ","Library":"Vlaams Instituut voor de Zee","DutchTerm":"Non-open access","URL":null,"ClassifID":228,"Classification":"Non-open access","ReqLink":1,"ClassifTypID":3,"URLLocation":"https://www.vliz.be/imisdocs/publications/","SubDir":1,"InternalReq":1,"LoggedInReq":1,"Disclaimer":"Disclaimer_VLIZ_Intern","DutchDisclaimer":"<p>Deze publicatie is enkel beschikbaar voor persoonlijk gebruik binnen de Innovocean site <br />en mag op geen enkele manier verder worden verspreid.</p>","FileFormat":".pdf","FileDescr":"pdf","InsPub":1,"InsID":36,"FileFormID":6,"LendableFlag":1,"PublicFlag":1,"orderLib":"A","Notes":null,"AccConID":null,"AccessConstraint":null,"LicURL":null}],"litstyles":null,"thespers":null,"arch2discl":null,"SERpubls":[{"PublName":"Elsevier","City":"Amsterdam; Den Burg"},{"PublName":"Netherlands Institute for Sea Research","City":"Amsterdam; Den Burg"}],"MONpubls":null,"pictures":[],"thestermsPath":[{"ThesaurusTerm":"ANE, Baltic","ThestID":181795,"Acronym":"ASFA_GEOT","ThesTermPath":"ANE, Baltic"},{"ThesaurusTerm":"Artificial intelligence","ThestID":565,"Acronym":"ASFA","ThesTermPath":"Artificial intelligence"},{"ThesaurusTerm":"Artificial neural networks","ThestID":92318,"Acronym":"CSA","ThesTermPath":"Artificial neural networks"},{"ThesaurusTerm":"Artificial neural networks","ThestID":103995,"Acronym":"TRT","ThesTermPath":"Artificial neural networks"},{"ThesaurusTerm":"Sea level","ThestID":7262,"Acronym":"ASFA","ThesTermPath":"Levels > Water levels > Sea level"},{"ThesaurusTerm":"Methodology","ThestID":5176,"Acronym":"ASFA","ThesTermPath":"Methodology"},{"ThesaurusTerm":"Modelling","ThestID":5269,"Acronym":"ASFA","ThesTermPath":"Modelling"},{"ThesaurusTerm":"Prediction","ThestID":6510,"Acronym":"ASFA","ThesTermPath":"Prediction"},{"ThesaurusTerm":"Storm surges","ThestID":9693,"Acronym":"ASFA","ThesTermPath":"Surges > Surface water waves > Storm surges"}],"thestermsASFA":[{"ThesaurusTerm":"ANE, Baltic"},{"ThesaurusTerm":"Artificial intelligence"},{"ThesaurusTerm":"Artificial neural networks"},{"ThesaurusTerm":"Artificial neural networks"},{"ThesaurusTerm":"Methodology"},{"ThesaurusTerm":"Modelling"},{"ThesaurusTerm":"Prediction"},{"ThesaurusTerm":"Sea level"},{"ThesaurusTerm":"Storm surges"}],"taxtermsASFA":null,"geotermsASFA":[{"GeoTerm":"Baltic Sea"}],"collections":null,"conf":null,"proj":null,"Physdatasets":null,"spcols":null,"doi":null,"publs":null,"serparttypes":null,"monauthors":null,"MParts":null,"SParts":null,"hLibs":null,"langs":[{"BEntID":36295,"AbstractFlag":-1,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"},{"BEntID":36295,"AbstractFlag":0,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"}],"urls":[{"URL":"https://dx.doi.org/10.1016/s1385-1101(03)00024-8","externalID":"10.1016/s1385-1101(03)00024-8","URLTypeCode":"DOI","URLID":2282,"URLTypID":13,"URLType":"DOI","URLPrefix":"http://dx.doi.org/"}],"thesterms":[{"ThesaurusTerm":"ANE, Baltic","ThestID":181795,"Acronym":"ASFA_GEOT","ThesTypID":34,"ThesType":"ASFA Geoterms"},{"ThesaurusTerm":"Artificial intelligence","ThestID":565,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Artificial neural networks","ThestID":92318,"Acronym":"CSA","ThesTypID":2,"ThesType":"CSA Technology Research Database Master Thesaurus"},{"ThesaurusTerm":"Artificial neural networks","ThestID":103995,"Acronym":"TRT","ThesTypID":3,"ThesType":"Transportation Research Thesaurus"},{"ThesaurusTerm":"Methodology","ThestID":5176,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Modelling","ThestID":5269,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Prediction","ThestID":6510,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Sea level","ThestID":7262,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Storm surges","ThestID":9693,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"}],"taxterms":null,"geoterms":[{"GeoTerm":"Baltic Sea","GeoObjectID":2401,"GeotID":77}],"othterms":null,"asfacodes":[{"Code":2167,"QCode":"Q2"}],"asfa2codes":null,"thestermsFRIS":[{"ThesaurusTerm":"ANE, Baltic","DutchTerm":null,"ThestID":181795,"Acronym":"ASFA_GEOT","ThesTypID":34,"ThesType":"ASFA Geoterms"},{"ThesaurusTerm":"Artificial intelligence","DutchTerm":null,"ThestID":565,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Artificial neural networks","DutchTerm":null,"ThestID":92318,"Acronym":"CSA","ThesTypID":2,"ThesType":"CSA Technology Research Database Master Thesaurus"},{"ThesaurusTerm":"Artificial neural networks","DutchTerm":null,"ThestID":103995,"Acronym":"TRT","ThesTypID":3,"ThesType":"Transportation Research Thesaurus"},{"ThesaurusTerm":"Methodology","DutchTerm":"methodologie","ThestID":5176,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Modelling","DutchTerm":"Modellering","ThestID":5269,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Prediction","DutchTerm":"Voorspelling","ThestID":6510,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Sea level","DutchTerm":"Zeeniveau","ThestID":7262,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"},{"ThesaurusTerm":"Storm surges","DutchTerm":"Stormvloeden","ThestID":9693,"Acronym":"ASFA","ThesTypID":1,"ThesType":"ASFA Thesaurus List"}],"taxtermsFRIS":null,"geotermsFRIS":[{"GeoTerm":"Baltic Sea","DutchTerm":null}],"othtermsFRIS":null,"resmessage":"","complete":1,"sessions":{"newSesName":"Chisala, Chilekwa, C.","newSesDate":{"date":"2003-07-15 09:17:34.080000","timezone_type":3,"timezone":"Europe/Brussels"},"updSesName":"Bouchti, Zohra, Z.","updSesDate":{"date":"2021-02-18 06:35:39.387000","timezone_type":3,"timezone":"Europe/Brussels"}}}