Analysis of satellite-derived time series of particulate organic carbon concentrations in surface layers of the global ocean

Ishan Joshi1, Dariusz Stramski2, Rick A Reynolds2 and Dr. Dale H Robinson3, (1)University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States, (2)University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, (3)NOAA Southwest Fisheries Science Center, Environmental Research Division, Santa Cruz, CA, United States
Abstract:
The standing stock of particulate organic carbon (POC) is a key component of the oceanic carbon pool and linked to several biogeochemical and ecological processes. Remote-sensing observations provide a means to monitor large scale spatial and temporal variations of this carbon pool in support of ocean carbon science and ecosystem studies. Using a new algorithm developed from high-quality field observations, we generated monthly maps of POC in the surface layer of the global ocean using ocean color data from 3 satellite missions (SeaWiFS, MODIS-AQUA, SNPP-VIIRS). Continuity of the POC product between missions was evaluated using periods of mission overlap, and the results used to generate a single multi-sensor time series of POC spanning a 21-year period. This dataset is used to quantify variability in the seasonal magnitudes and phenology of surface POC concentrations, and to examine long-term trends in POC at both the global scale and for specific ocean regions and biogeochemical provinces.
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