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Photosynthetically Active Radiation (PAR) Average Annual Frequency of Anomalies, 2003-2018 - American Samoa

Published by Pacific Islands Ocean Observing System (PacIOOS) | National Oceanic and Atmospheric Administration, Department of Commerce | Metadata Last Checked: January 26, 2026 | Last Modified: 2021-09-07T00:00:00.000+00:00
Solar irradiance is one of the most important factors influencing coral reefs. As a majority of their nutrients are obtained from symbiotic photosynthesizing organisms, reef-building corals need sunlight as a fundamental source of energy. Seasonally low irradiance at high latitudes may be linked to reduced growth rates in corals and may limit reef calcification to shallower depths than that observed at lower latitudes. However, high levels of irradiance can lead to light-induced damage, production of free radicals, and in combination with increased temperatures, can exacerbate coral bleaching. Irradiance is here represented by PAR (photosynthetically active radiation), which is the spectrum of light that is important for photosynthesis. This layer represents the annual average number of anomalies of PAR (mol/m2/day) from 2003-2018, with values presented as fraction of a year. Data for PAR for the time period 2003-2018 were obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua satellite instrument from the NASA OceanColor website as 8-day 4-km composites. The PAR average annual frequency of anomalies was calculated by taking the average number of weeks that exceeded the maximum monthly climatological PAR value from 2003-2018 for each pixel. A quality control mask was applied to remove spurious data associated with shallow water, following Gove et al., 2013. Time series of anomalies were calculated by quantifying the number and magnitude of events from the 8-day time series that exceed the maximum climatological monthly mean. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS then converting points to raster. Data source: https://oceanwatch.pifsc.noaa.gov/erddap/griddap/aqua_par_8d_2018_0.graph

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