{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T11:16:49Z","timestamp":1772191009970,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T00:00:00Z","timestamp":1715731200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fortalecimiento de Cuerpos Acad\u00e9micos"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Mathematical algorithms relate satellite data of ocean color with the surface Chlorophyll-a concentration (Chl-a), a proxy of phytoplankton biomass. These mathematical tools work best when they are adapted to the unique bio-optical properties of a particular oceanic province. Ocean color algorithms should also consider that there are significant differences between datasets derived from different sensors. Common solutions are to provide different parameters for each sensor or use merged satellite data. In this paper, we use satellite data from the Copernicus merged product suite and in situ data from the southernmost part of the California Current System to test two widely used global algorithms, OCx and CI, and a regional algorithm, CalCOFI2. The OCx algorithm yielded the most favorable results. Consequently, we regionalized it and conducted further testing, leading to significant improvements, especially in eutrophic and oligotrophic waters. The database was then separated according to (a) dynamic boundaries in the area, (b) bio-optical properties, and (c) climatic conditions (El Ni\u00f1o\/La Ni\u00f1a). Regional algorithms were obtained and tested for each partition. The Chl-a retrievals for each model were tested and compared. The best fit for the data was for the regional algorithms that considered the climatic conditions (El Ni\u00f1o\/La Ni\u00f1a). These results will allow for the construction of consistent regionally adapted time series and, therefore, will demonstrate the importance of El Ni\u00f1o\/La Ni\u00f1a events on the bio-optical properties of the area.<\/jats:p>","DOI":"10.3390\/rs16101748","type":"journal-article","created":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T06:59:32Z","timestamp":1715756372000},"page":"1748","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Evaluation of Ocean Color Algorithms to Retrieve Chlorophyll-a Concentration in the Mexican Pacific Ocean off the Baja California Peninsula, Mexico"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6660-0664","authenticated-orcid":false,"given":"Patricia","family":"Alvarado-Graef","sequence":"first","affiliation":[{"name":"Facultad de Ciencias Marinas, Universidad Aut\u00f3noma de Baja California, Ensenada 22860, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4874-3917","authenticated-orcid":false,"given":"Beatriz","family":"Mart\u00edn-Atienza","sequence":"additional","affiliation":[{"name":"Facultad de Ciencias Marinas, Universidad Aut\u00f3noma de Baja California, Ensenada 22860, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5768-8737","authenticated-orcid":false,"given":"Ram\u00f3n","family":"Sosa-\u00c1valos","sequence":"additional","affiliation":[{"name":"Centro Universitario de Investigaciones Oceanol\u00f3gicas, Universidad de Colima, Manzanillo 28060, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3290-8633","authenticated-orcid":false,"given":"Reginaldo","family":"Durazo","sequence":"additional","affiliation":[{"name":"Facultad de Ciencias Marinas, Universidad Aut\u00f3noma de Baja California, Ensenada 22860, Mexico"}]},{"given":"Rafael","family":"Hern\u00e1ndez-Walls","sequence":"additional","affiliation":[{"name":"Facultad de Ciencias Marinas, Universidad Aut\u00f3noma de Baja California, Ensenada 22860, Mexico"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.rse.2004.08.014","article-title":"Consistent merging of satellite ocean color data sets using a bio-optical model","volume":"94","author":"Maritorena","year":"2005","journal-title":"Remote Sens. 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