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\begin{document}

\title{On the seasonal cycle of the statistical properties of Sea Surface
Temperature}



\author[1]{Jordi Isern-Fontanet}%
\author[2]{Xavier Capet}%
\author[1]{Antonio Turiel}%
\author[1]{Estrella Olmedo}%
\author[1]{Cristina González-Haro}%
\affil[1]{Institut de Ciències del Mar (CSIC)}%
\affil[2]{French National Centre for Scientific Research (CNRS)}%


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  \date{May 28, 2024}


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\begin{abstract}
The contribution of ocean fronts to the properties and temporal
evolution of Sea Surface Temperature (SST) structure functions have been
investigated using a numerical model of the California Current system.
First, the intensity of fronts have been quantified by using singularity
exponents. Then, leaning on the multifractal theory of turbulence, we
show that the departure of the scaling of the structure functions from a
straight line, known as anomalous scaling, depends on the intensity of
the strongest fronts. These fronts, at their turn, are closely related
to the seasonal change of intensity of the coastal upwelling
characteristics of this area. Our study points to the need to correctly
reproduce the intensity of the strongest fronts and, consequently,
properly model processes such as coastal upwelling in order to reproduce
SST statistics in ocean models.%
\end{abstract}%



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