Northwest Atlantic per-pixel spring bloom metrics derived from OC-CCI POLY4 satellite Chlorophyll-a, 1998-present

NWA OCCCI spring bloom metrics 2024

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
t_start (Day of year of the start of the spring phytoplankton bloom)
t_duration (Duration of the spring phytoplankton bloom, days)
amplitude_real (Maximum concentration during the spring phytoplankton bloom period, mg/m3)
magnitude_real (Total chlorophyll-a produced during the spring phytoplankton bloom period, days*mg/m3)
annual_mean (Average chlorophyll-a over the year, mg/m3)
NRMSE_bloom (Root mean square error between the fitted Gaussian and real chl-a values during the bloom period, normalized to amplitude_real, mg/m3)
percent_dineof (Percentage of days with pixel values estimated using DINEOF)


NWA OCCCI CHL_POLY4 2025-03-31

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll-a Concentration (POLY4 model with coefficients optimized to OC-CCI multisensor product in the Northwest Atlantic), mg m-3)


OCxSPMcor Chlorophyll-a OC-CCI Data in the Bay of Fundy, 1997-Present

Chlorophyll-a concentration (Chl-a) is used as a proxy for phytoplankton biomass to track blooms and monitor the state of the ecosystem. This dataset is made of daily 1-km resolution images containing satellite Chl-a values computed using the OCxSPM-cor algorithm, covering the period from Sep 1997 to present day over the Bay of Fundy (43.1-46.2°N, 63.1-68.8°W). Regionally-tuned coefficients for OCxSPM-cor Chl-a (Wilson et al., 2024, see resources) were obtained by matching satellite pixels to in situ Turner fluorometry Chl-a samples within the region of interest. OCxSPM-cor Chl-a optimization used a linear regression of OCxSPM-cor against Turner that was forced to the 1:1 line to reduce the negative bias observed in higher concentrations in the default global Chl-a models. Daily Chl-a images were generated by applying the optimized OCxSPM-cor algorithm on level-3 binned remote sensing reflectance (Rrs) data from the OC-CCI multisensor product generated by the Plymouth Marine Laboratory (PML) as part of the European Space Agency (ESA) climate change initiative. The Chl-a data were then projected onto an Equidistant Cylindrical grid (1x1 km per pixel) using a nearest neighbour method. This model and the coefficients computed for the Northwest Atlantic and Bay of Fundy are available in the R package oceancolouR (https://github.com/BIO-RSG/oceancolouR).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlor_a (Chlorophyll-a Concentration (OCxSPMcor model with coefficients optimized to OC-CCI multisensor product  in the Bay of Fundy), mg/m3)