Nivmar: a storm surge forecasting system for Spanish waters

Authors

  • Enrique Álvarez Fanjul Área de Conocimiento y Análisis del Medio Físico, Ente Público Puertos del Estado
  • Begoña Pérez Gómez Área de Conocimiento y Análisis del Medio Físico, Ente Público Puertos del Estado
  • Ignacio Rodríguez Sánchez Arévalo Área de Conocimiento y Análisis del Medio Físico, Ente Público Puertos del Estado

DOI:

https://doi.org/10.3989/scimar.2001.65s1145

Keywords:

Nivmar, sea level, storm surge, forecast, Redmar, tide gauge

Abstract


In this paper, a storm surge prediction system for the Spanish Waters is presented. The system, named Nivmar, is based on the ocean circulation Hamsom model and on the harmonical prediction of tides computed from data measured by the tide gauge network Redmar, managed by Puertos del Estado. Nivmar is executed twice a day, running Hamsom forced by meteorological fields derived from the INM (Instituto Nacional de Meteorología) operational application of Hirlam atmospheric model. Data from Redmar tide gauges is used to to forecast the tidal elevations, to validate the system and to perform data assimilation, correcting systematic errors in the mean sea level due to physicals processes that are not included in the ocean model (i. e. steric height). The forecast horizon is 48 hours. In order to validate the system with measured data from Redmar a very stormy 5 months period was selected. Results from this test (November 95 to March 96) are presented. Data from this experiment shown that Nivmar is able to correctly predict sea level in the region. A simple data assimilation scheme for sea level is described and results from its application are studied. Finally, special focus is made in future plans and potential developments and applications of the system.

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Published

2001-07-30

How to Cite

1.
Álvarez Fanjul E, Pérez Gómez B, Rodríguez Sánchez Arévalo I. Nivmar: a storm surge forecasting system for Spanish waters. Sci. mar. [Internet]. 2001Jul.30 [cited 2024Mar.29];65(S1):145-54. Available from: https://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/710

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Section

Articles