publication . Article . 2017

Comparative Study on Assimilating Remote Sensing High Frequency Radar Surface Currents at an Atlantic Marine Renewable Energy Test Site

Lei Ren; Michael Hartnett;
Open Access
  • Published: 01 Dec 2017 Journal: Remote Sensing, volume 9, page 1,331 (eissn: 2072-4292, Copyright policy)
  • Publisher: MDPI AG
Abstract
A variety of data assimilation approaches have been applied to enhance modelling capability and accuracy using observations from different sources. The algorithms have varying degrees of complexity of implementation, and they improve model results with varying degrees of success. Very little work has been carried out on comparing the implementation of different data assimilation algorithms using High Frequency radar (HFR) data into models of complex inshore waters strongly influenced by both tides and wind dynamics, such as Galway Bay. This research entailed implementing four different data assimilation algorithms: Direct Insertion (DI), Optimal Interpolation (O...
Subjects
free text keywords: General Earth and Planetary Sciences, Hindcast, Wind stress, Forcing (mathematics), Radar, law.invention, law, Geology, Interpolation, Data assimilation, Forecast skill, Remote sensing, Ocean current, surface currents, direct insertion, optimal interpolation, nudging, radars, EFDC, Galway Bay, Science, Q
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publication . Article . 2017

Comparative Study on Assimilating Remote Sensing High Frequency Radar Surface Currents at an Atlantic Marine Renewable Energy Test Site

Lei Ren; Michael Hartnett;