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DC Field | Value | Language |
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dc.contributor.author | Galdies, Charles | - |
dc.contributor.author | Donoghue, D. N. M. | - |
dc.date.accessioned | 2022-03-16T07:30:50Z | - |
dc.date.available | 2022-03-16T07:30:50Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | Galdies, C., & Donoghue, D. N. M. (2009). A first attempt at assimilating microwave-derived SST to improve the predictive capability of a coupled, high-resolution Eta-POM forecasting system. International Journal of Remote Sensing, 30(23), 6169-6197. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/91495 | - |
dc.description.abstract | This study implements the assimilation of sea surface temperature (SST) data acquired by passive microwave remote sensing to a high-resolution, primitive-equation ocean model. The aim was to improve a forecasting tool capable of predicting the surface ocean processes linked to the air–sea interactions at sub-mesoscale level using one-way coupled, atmosphere–ocean modelling. An assimilation scheme based on a Newtonian relaxation scheme was fine-tuned to improve the forecasting skill of the ocean model. The ocean model was driven by predicted, synchronous air–sea fluxes derived by an overlying atmosphere model, remotely sensed SST and lateral boundary conditions derived from its previous run. The estimation of the model forecasting error was based on statistical and spatial comparison with remotely sensed observations. The optimal nudging coefficient was found to be 5 × 10−4 for 12 hours, giving a mean bias of −0.07°C. Forecast validation was done against calibrated AVHRR scenes using a new approach to calibrate region-specific scenes based on the split-window technique. This work demonstrates the benefit of using passive microwave remote sensing to improve high-resolution ocean forecasting systems. It also shows the high complementarity of infrared and passive microwave satellite sensors to provide information on the surface thermodynamics of the Ionian Sea. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Taylor & Francis | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Ocean temperature | en_GB |
dc.subject | Ocean temperature -- Remote sensing | en_GB |
dc.subject | Ocean temperature -- Observations | en_GB |
dc.subject | Ocean temperature -- Environmental aspects | en_GB |
dc.subject | Ocean temperature -- Charts, diagrams, etc. | en_GB |
dc.title | A first attempt at assimilating microwave-derived SST to improve the predictive capability of a coupled, high-resolution Eta-POM forecasting system | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1080/01431160902842334 | - |
dc.publication.title | International Journal of Remote Sensing | en_GB |
Appears in Collections: | Scholarly Works - InsESEMP |
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File | Description | Size | Format | |
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A first attempt at assimilating microwave-derived SST to improve the predictive capability of a coupled.pdf Restricted Access | 3.04 MB | Adobe PDF | View/Open Request a copy | |
ManuscriptGaldiesCDonoghueD2009.pdf | 1.59 MB | Adobe PDF | View/Open |
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