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Phenology of Chlorophyll Concentrations from Satellite Ocean Color Measurements
Christopher
W.
Brown, NOAA, christopher.w.brown@noaa.gov
(Presenter)
Phytoplankton standing stocks and productivity exhibit variability in the timing and magnitude within different regions of the ocean because processes affecting their growth and demise, such as incident solar irradiance, nutrient supply, and grazing pressure, vary with latitude and oceanographic conditions. Climate change will affect many of these oceanic conditions and will thus affect the timing and magnitude of primary production with important consequences for aquatic life and the ocean carbon cycle. Satellite estimates of ocean color have now obtained sufficient temporal length that we can begin to study these links between phytoplankton and climate variability and change. To that end, we estimated four phenological characteristics of the annual cycle of phytoplankton biomass in the global ocean by statistically analyzing 10 years of satellite-derived chlorophyll concentrations to detect these changes. The time series of daily mean SeaWiFS chlorophyll concentration in each 1° x 1°grid box was modeled using a Generalized Linear Model (GLM) and the dates of bloom onset, maturity, start of bloom decay, and bloom termination were extracted from the fitted functions. The GLM approach is a statistically suitable approach to detect and account for changes in the annual cycle of phytoplankton biomass and the results, which will be detailed in the poster, were consistent with known patterns of phytoplankton bloom dynamics. Presentation Type: Poster Session: Other (Wed 10:00 AM) Associated Project(s):
Poster Location ID: 128
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