Marine Hydrology

Analysis of advection effects using four-dimensional variational data assimilation in storm surge simulation

  • LI Yi-Nai ,
  • BANG Shi-Qiu ,
  • SHU Ye-Jiang ,
  • LAI Zhi-Juan-
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  • State Key Laboratory of Tropical O c eanography South China Sea Institute of Oceanology, CAS , Guangzhou 510301, China

Received date: 2011-11-01

  Revised date: 2011-11-01

  Online published: 2011-11-01

Abstract

A four-dimensional variational data assimilation (4DVAR) algorithm based on the three-dimensional Princeton Ocean Model (POM) and the adjoint of its tangent linear model was applied to a storm surge simulation using model-generated ‘‘pseudo-observations.’’ The analysis was focused on the role of horizontal advection in improving storm surge simulation by the 4DVAR. It is found that the significant impact of 4DVAR on the storm surge simulation is only seen in the first five hours of the simulation, with its maximum impact during the first 3 - 4 hours. The results show that the alongshore currents and the shoreward currents became greater after data assimilation. It is also found that the improvement of storm surge simulation by 4DVAR is from the increase in shoreward flux of water mass. However, the increase of the water level reduced the pressure gradient, leading to the weakening of the shoreward currents when only assimilating water level data. Assimilating both the water level and the surface currents helped to keep the intensity of the shoreward currents, and thus led to a better simulation of storm surge.

Cite this article

LI Yi-Nai , BANG Shi-Qiu , SHU Ye-Jiang , LAI Zhi-Juan- . Analysis of advection effects using four-dimensional variational data assimilation in storm surge simulation[J]. Journal of Tropical Oceanography, 2011 , 30(5) : 19 -26 . DOI: 10.11978/j.issn.1009-5470.2011.05.019

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