Abstract
This study investigates the seasonal and regional variability in the chlorophyll-specific absorption coefficient of phytoplankton at 443 nm ((Formula presented.) ; unit: m2 mg−1) in surface oceans. It is focused on the time series data derived from the satellite products of chlorophyll-a (Chl-a) concentration and the phytoplankton absorption coefficient. Global estimates of (Formula presented.) reveal a decreasing gradient from the open ocean toward the coastal environment, with considerable spatial variance. Seasonal variations are prominent over most oceans, resulting in substantial deviations from the climatological means. A sinusoidal model was fitted to the monthly time series data to characterize the annual and semiannual features. The amplitudes and the phases of the monthly data were latitudinally dependent. The occurrence times of the maximum (Formula presented.) values were six months out of phase between the northern and southern hemispheres. Satellite observations present a global mean relationship between (Formula presented.) and Chl-a comparable with those obtained via in situ measurements. However, the seasonal/regional (Formula presented.) and Chl-a relationships can significantly depart from the global mean relationship. We propose a hypothesis that (Formula presented.) can be predicted as a function of geolocation and time. Preliminary validations with in situ matchup data confirm that the proposed model is a promising alternative to the traditional approaches requiring Chl-a as the input. The present exploration helps understand the phytoplankton biogeography and facilitates future efforts to improve bio-optical modeling, including estimating the primary production.
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Wei, J., Wang, M., Mikelsons, K., & Jiang, L. (2023). Chlorophyll-Specific Absorption Coefficient of Phytoplankton in World Oceans: Seasonal and Regional Variability. Remote Sensing, 15(9). https://doi.org/10.3390/rs15092423
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