A characterisation of sea-breeze events in the eastern Cantabrian coast (Spain) from observational data and WRF simulations

  • Jon A. Arrillaga*
  • , Carlos Yagüe
  • , Mariano Sastre
  • , Carlos Román-Cascón
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

The behaviour of the sea breeze along the north coast of Spain is investigated using observations of two topographically contrasting sites together with simulations from the Weather Research and Forecasting (WRF) model. An objective and systematic selection method is used to detect sea-breeze days from a database of two summer months. The direction and intensity of the sea breeze are significantly affected by the topography of the area; indeed, the estimated sea-breeze intensity shows an opposite relationship with the cross-shore temperature gradient for both sites. WRF simulations reproduce the onset of the sea breeze, but some characteristics are not adequately simulated: they generally overestimate the wind speed, smooth the temperature evolution and they do not represent the correct interaction with the terrain-induced flows. Additionally, four sensitivity experiments are performed with the WRF model varying the Planetary Boundary Layer (PBL) scheme, as well as the grid analysis nudging for an anomalous case study which is incorrectly filtered. As the two simulations considering nudging reproduce an unreal (not observed) sea breeze, this day turns out to be of great interest: it allows to evaluate the influence of the passage of the sea-breeze front (SBF) in other variables mainly related to turbulence. Furthermore, the best model scores are obtained for the PBL scheme that does not use a TKE closure.

Original languageEnglish
Pages (from-to)265-280
Number of pages16
JournalAtmospheric Research
Volume181
DOIs
Publication statusPublished - 15 Nov 2016
Externally publishedYes

Keywords

  • Cantabrian coast
  • Complex topography
  • PBL
  • Sea breeze
  • Turbulence
  • WRF

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