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Discussion papers | Copyright
https://doi.org/10.5194/gmd-2018-98
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model evaluation paper 04 Jul 2018

Model evaluation paper | 04 Jul 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Reanalysis of the PacIOOS Hawaiian Island Ocean Forecast System, an implementation of the Regional Ocean Modeling System v3.6

Dale Partridge and Brian S. Powell Dale Partridge and Brian S. Powell
  • University of Hawaii at Manoa, Department of Oceanography, Marine Sciences Building, 1000 Pope Road, Honolulu, Hawaii 96822, USA

Abstract. A 10-year reanalysis of the PacIOOS Hawaiian Island Ocean Forecast System was produced using an incremental strong constraint 4D-Variational data assimilation with the Regional Ocean Modeling System (ROMS). Observations were assimilated from a range of sources: satellite-derived sea surface temperature (SST), salinity (SSS), and height anomalies (SSHA); depth profiles of temperature and salinity from Argo floats, autonomous SeaGliders, shipboard conductivity-temperature-depth (CTDs); and surface HFR velocity measurements from high frequency radar (HFR). The performance of the state-estimate is examined against a free-running forecast showing an improved representation of the observations, especially the realization of HFR surface currents. EOFs of the increments made during the assimilation to the initial conditions and atmospheric forcing components are computed, revealing the variables that are influential in producing the state-estimate solution and the spatial structure the increments form.

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Dale Partridge and Brian S. Powell
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Dale Partridge and Brian S. Powell
Dale Partridge and Brian S. Powell
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Latest update: 20 Sep 2018
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Short summary
This paper demonstrates the improvements made to an operational ocean forecast model around the Hawaiian Islands by performing a reanalysis of the model over a 10-year period. Using a number of different measurements we show the role a variety of observations play in producing the forecast, in particular the contribution of High Frequency Radar.
This paper demonstrates the improvements made to an operational ocean forecast model around the...
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