## 5 Conclusions  
The Chlorophyll-\(a\) satellite images are one of the most used products in oceanography [39]. However, the global algorithms applied are biased because their parameters are obtained with data from all around the globe and for a particular sensor. Therefore, it is important to assess their efficiency in order to determine if they are regionally appropriate before use [39]. Off the coast of California, the global algorithms underestimate the Chlorophyll-\(a\) concentration by a factor of 5 [2,6]. However, for the IMECOCAL area, these algorithms retrieved mChl-\(a\) of the same order of magnitude as the in situ Chl-\(a\) data. The CalCOFI 2 algorithm, on the contrary, drastically underestimates the in situ Chl-\(a\) concentration in the IMECOCAL area, suggesting that there are significantly different bio-optical properties between these sections of the CC. The fact that the Ensenada Front works as a dynamic boundary that greatly alters the bio-optical properties in different sections of the CCS suggests that the boundary at around 28\({}^{\circ}\) N [14] that reduces ecological connectivity would do the same. Nonetheless, the data are not significantly different, showing that this dynamic boundary does not have a perceptible effect on the bio-optical properties of seawater in the area. The differences observed in the algorithms could be due not only to the bio-optical differences in the data per se but also to the differences in the merged satellite data. Therefore, it is important to establish accurate parameters for the specific merged satellite data.  
The regional algorithm differs from the global OCx mainly in oligotrophic waters, with higher Chlorophyll-\(a\) values that could be due to the presence of small cells characteristic of tropical and subtropical waters. The database was then classified according to the green/blue ratio of reflectance (\(\mathfrak{R}^{-1}\)), which allowed for a distinction between coastal, transitional, and oceanic waters, each with a polynomial function fitted to it. Though the differences between the regional algorithm and this set of algorithms are small, the classification in coastal, transitional, and oceanic waters allows for a better parameterization for different properties compared with the combined use of CI and OCx by NASA. The weighted approach used for CI and OCx is based on the Chl-\(a\) value, which requires retrieval for the determination of an adequate algorithm. The use of this set allows for a distinction of properties based on a value of \(\mathfrak{N}\), that is, the classification of the data is performed before the retrieval.  
The evaluation of the algorithms using merged satellite data provides a deeper understanding of the area and a better option for constructing long time series that can aid in the comprehension of the processes in the area. With the Copernicus satellite data, the climatic conditions algorithm allows for the construction of a more consistent time series for the IMEOCAL region.  
Conceptualization, P.A.-G. and B.M.-A.; Data curation, R.S.-A.; Formal analysis, P.A.-G. and B.M.-A.; Investigation, P.A.-G. and R.S.-A.; Methodology, P.A.-G., B.M.-A., R.S.-A. and R.H.-W.; Resources, R.D.; Software, P.A.-G.; Supervision, B.M.-A.; Writing--original draft, P.A.-G.; Writing--review and editing, B.M.-A., R.S.-A., R.D. and R.H.-W. All authors have read and agreed to the published version of the manuscript.  
[PERSON] received a scholarship from the SEP-PRODEP project \"Productividad primaria y procesos de mesoescala en la costa de Baja California\", within the 2018 call for proposals \"Fortalecimiento de Cuerpos Academicos\".  
The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.  
The authors declare no conflicts of interest.