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Detection of the effects of climate change on ocean ecosystems is often limited by the short duration of available time series. Here, we use ocean transparency measurements (the Secchi disk depth, ZSD) in the California Current Ecosystem since 1949 and combine them with satellite estimates. Historic in situ measurements of ZSD were irregular in space and time and are difficult to interpret in time series due to biases introduced by changing locations and timing. We normalize historic ZSD measurements with satellite-derived mean climatology and create a merged in situ—satellite time series of ZSD for the last
73 yr. Although interannual variability in ZSD is dominated by El Niño Southern Oscillation-related variability (
50% of the total variance in many areas), a secular trend of decreasing transparency that is correlated with increasing productivity is detected 0–300 km from the coast in an area affected by coastal upwelling north of 27N. In contrast, increasing transparency (correlated with decreasing productivity) is detected offshore (> 1000 km from the coast). In addition to those general trends, transparency is also increasing in coastal area off Baja California south of 27N. 

Abstract This study investigated how ocean optical properties and solar attenuation may affect the upper ocean temperature structure and ocean heat content (OHC). We employed a realistic three‐dimensional ocean circulation model for the northwestern Atlantic to simulate ocean states during the active Atlantic hurricane season of 2017. Sensitivity experiments were performed by coupling the ocean circulation prediction with either a conventional water type‐based solar attenuation model or an inherent optical properties (IOP)‐based model. Validations against in‐situ ocean temperature observations and remote sensing‐derived OHC showed that ocean simulations using the IOP‐based model outperformed simulations using the conventional water type‐based model in predicting sea surface temperature, upper ocean thermal structure, and OHC. An OHC‐hurricane intensity relationship derived for five major hurricanes in 2017 suggests that the ocean optical properties and the application of an appropriate solar attenuation model are important for the forecast of hurricane intensity.