Monthly Satellite Chlorophyll-a Climatology of the Canadian Pacific Exclusive Economic Zone (2003-2020) - 1 km Resolution

Monthly Satellite Chlorophyll-a Climatology of the Canadian Pacific Exclusive Economic Zone (2003-2020) - 1 km Resolution Description: Chlorophyll-a concentration (a proxy for phytoplankton biomass) was retrieved from the MODIS instrument on the Aqua satellite, with data distributed by the NASA Ocean Biology Processing Group, and averaged into monthly climatological composites. The data span the years 2003-2020 and this record includes data at 1 km pixel resolution. Methods: MODIS-Aqua Chlorophyll-a (Chl-a) was acquired from the NASA Ocean Biology Processing Group at processing Level-2 (version 2018), 1-km resolution, where Chl-a concentration was calculated using the OC3/OCI method. The months of January and December were excluded from this dataset, as data in the winter months at higher latitudes are missing due to low sun angle preventing acquisition. The pixels were aligned on a regular grid using the SeaDAS program, after which the monthly geometric mean value at all pixels was calculated for individual years. Finally, the geometric mean and geometric standard deviation factor of chlorophyll-a were calculated by month from these images. These methods of calculating mean and standard deviation were used due to the log-normal distribution of chlorophyll-a. The geometric standard deviation is a unitless factor, where the lower bound is the ratio of the geometric mean and geometric standard deviation, and the upper bound is the multiplication of the two. In addition to these variables, the number of occurrences of valid data at each pixel over the period of observation were calculated. Pixels with fewer than two occurrences over the entire period of observation were removed from these maps, and set to a NaN value in the tif files. A few small gaps between pixels (near the edges of individual images) were filled using the median value of surrounding pixels, provided there were greater than 4 values. Finally, all rasters were cropped to the Canadian Exclusive Economic Zone and assigned to the NAD83 geographic coordinate reference system (EPSG:4269), and have a final pixel resolution of approximately 0.01 degrees. The monthly geometric mean, monthly geometric standard deviation factor, and number of occurrences for all pixels are provided. Data Sources: NASA Ocean Biology Processing Group. (2017). MODIS-Aqua Level 2 Ocean Color Data Version R2018.0. NASA Ocean Biology Distributed Active Archive Center. https://doi.org/10.5067/AQUA/MODIS/L2/OC/2018 Uncertainties: Satellite values have been evaluated against global datasets, and datasets of samples in the Pacific region (see references). However, uncertainties are introduced when averaging together images over time as each pixel has a differing number of observations. Short-lived or spatially limited events may be missed. 2024-09-26 Fisheries and Oceans Canada Charles.Hannah@dfo-mpo.gc.ca Nature and EnvironmentScience and TechnologyClimatologyChlorophyll-aClimateOceansBiology Data DictionaryPDF https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/e16b99f1-cc7d-4f2b-8661-6a1706ee7386/attachments/Data_Dictionary_CHLA_EN_FR.pdf ReferencesPDF https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/e16b99f1-cc7d-4f2b-8661-6a1706ee7386/attachments/References_CHLA_EN_FR.pdf Satellite Chlorophyll-a Monthly Mean 2003-2020 - 1km resolution – GeoTIFGeoTIF https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/e16b99f1-cc7d-4f2b-8661-6a1706ee7386/attachments/CHLA_1km_monthly_geomean_tif_files.zip Satellite Chlorophyll-a Monthly Standard Deviation 2003-2020 - 1km resolution – GeoTIFGeoTIF https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/e16b99f1-cc7d-4f2b-8661-6a1706ee7386/attachments/CHLA_1km_monthly_geostdev_tif_files.zip Satellite Chlorophyll-a Monthly Mean 2003-2020 - 1km resolution – PNGPNG https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/e16b99f1-cc7d-4f2b-8661-6a1706ee7386/attachments/CHLA_1km_monthly_geomean_png_files.zip Satellite Chlorophyll-a Monthly Standard Deviation 2003-2020 - 1km resolution – PNGPNG https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/e16b99f1-cc7d-4f2b-8661-6a1706ee7386/attachments/CHLA_1km_monthly_geostdev_png_files.zip Satellite Chlorophyll-a Monthly Number of Occurrences 2003-2020 - 1km resolution – GeoTIFGeoTIF https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/e16b99f1-cc7d-4f2b-8661-6a1706ee7386/attachments/CHLA_1km_monthly_numtotal_tif_files.zip Satellite Chlorophyll-a Monthly Number of Occurrences 2003-2020 - 1km resolution - PNGPNG https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/e16b99f1-cc7d-4f2b-8661-6a1706ee7386/attachments/CHLA_1km_monthly_numtotal_png_files.zip Satellite Chlorophyll-a Monthly Mean 2003-2020 - 1km resolutionESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/Monthly_Satellite_CHLA_Climatology_CPEEZ_2003_2020_1km/MapServer Satellite Chlorophyll-a Monthly Mean 2003-2020 - 1km resolutionESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/Monthly_Satellite_CHLA_Climatology_CPEEZ_2003_2020_1km/MapServer

Description:

Chlorophyll-a concentration (a proxy for phytoplankton biomass) was retrieved from the MODIS instrument on the Aqua satellite, with data distributed by the NASA Ocean Biology Processing Group, and averaged into monthly climatological composites. The data span the years 2003-2020 and this record includes data at 1 km pixel resolution.

Methods:

MODIS-Aqua Chlorophyll-a (Chl-a) was acquired from the NASA Ocean Biology Processing Group at processing Level-2 (version 2018), 1-km resolution, where Chl-a concentration was calculated using the OC3/OCI method. The months of January and December were excluded from this dataset, as data in the winter months at higher latitudes are missing due to low sun angle preventing acquisition. The pixels were aligned on a regular grid using the SeaDAS program, after which the monthly geometric mean value at all pixels was calculated for individual years. Finally, the geometric mean and geometric standard deviation factor of chlorophyll-a were calculated by month from these images. These methods of calculating mean and standard deviation were used due to the log-normal distribution of chlorophyll-a. The geometric standard deviation is a unitless factor, where the lower bound is the ratio of the geometric mean and geometric standard deviation, and the upper bound is the multiplication of the two. In addition to these variables, the number of occurrences of valid data at each pixel over the period of observation were calculated. Pixels with fewer than two occurrences over the entire period of observation were removed from these maps, and set to a NaN value in the tif files. A few small gaps between pixels (near the edges of individual images) were filled using the median value of surrounding pixels, provided there were greater than 4 values. Finally, all rasters were cropped to the Canadian Exclusive Economic Zone and assigned to the NAD83 geographic coordinate reference system (EPSG:4269), and have a final pixel resolution of approximately 0.01 degrees. The monthly geometric mean, monthly geometric standard deviation factor, and number of occurrences for all pixels are provided.

Data Sources:

NASA Ocean Biology Processing Group. (2017). MODIS-Aqua Level 2 Ocean Color Data Version R2018.0. NASA Ocean Biology Distributed Active Archive Center. https://doi.org/10.5067/AQUA/MODIS/L2/OC/2018

Uncertainties:

Satellite values have been evaluated against global datasets, and datasets of samples in the Pacific region (see references). However, uncertainties are introduced when averaging together images over time as each pixel has a differing number of observations. Short-lived or spatially limited events may be missed.

Data and Resources

Contact Information

Delivery Point: Bedford Institute of Oceanography 1 Challenger Drive

City: Dartmouth

Administrative Area: Nova Scotia

Postal Code: B2Y 4A2

Country: Canada

Electronic Mail Address: Emmanuel.Devred@dfo-mpo.gc.ca

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