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dc.contributor.authorInjan, Sittisak
dc.contributor.authorWangwongchai, Angkool
dc.contributor.authorHumphries, Usa
dc.contributor.authorKhan, Amir
dc.contributor.authorYusuf, Abdullahi
dc.date.accessioned2022-01-20T13:59:35Z
dc.date.available2022-01-20T13:59:35Z
dc.date.issued09.2021en_US
dc.identifier.issn20751680
dc.identifier.urihttps://doi.org/10.3390/axioms10030189
dc.identifier.urihttps://hdl.handle.net/20.500.12445/1748
dc.description.abstractThe Ensemble Intermediate Coupled Model (EICM) is a model used for studying the El Niño-Southern Oscillation (ENSO) phenomenon in the Pacific Ocean, which is anomalies in the Sea Surface Temperature (SST) are observed. This research aims to implement Cressman to improve SST forecasts. The simulation considers two cases in this work: the control case and the Cressman initialized case. These cases are simulations using different inputs where the two inputs differ in terms of their resolution and data source. The Cressman method is used to initialize the model with an analysis product based on satellite data and in situ data such as ships, buoys, and Argo floats, with a resolution of 0.25 × 0.25 degrees. The results of this inclusion are the Cressman Initialized Ensemble Intermediate Coupled Model (CIEICM). Forecasting of the sea surface temperature anomalies was conducted using both the EICM and the CIEICM. The results show that the calculation of SST field from the CIEICM was more accurate than that from the EICM. The forecast using the CIEICM initialization with the higher-resolution satellite-based analysis at a 6-month lead time improved the root mean square deviation to 0.794 from 0.808 and the correlation coefficient to 0.630 from 0.611, compared the control model that was directly initialized with the low-resolution in-situ-based analysis.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.isversionofhttps://doi.org/10.3390/axioms10030189en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectCressman Methoden_US
dc.subjectEICMen_US
dc.subjectENSOen_US
dc.subjectSSTAen_US
dc.titleReinitializing sea surface temperature in the ensemble intermediate coupled model for improved forecastsen_US
dc.typearticleen_US
dc.relation.journalAxiomsen_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.contributor.authorID0000-0002-2550-5932en_US
dc.contributor.authorID0000-0001-6629-2331en_US
dc.contributor.authorID0000-0002-8308-7943en_US
dc.identifier.volume10en_US
dc.identifier.issue3en_US
dc.identifier.startpage1en_US
dc.identifier.endpage17en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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