Measured and remotely sensed estimates of primary production in the Atlantic Ocean from 1998 to 2005 |
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| Institution: | 1. Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, United States;2. Wisconsin Department of Natural Resources, 2801 Progress Road, Madison, WI 53716, United States;3. Science Systems and Applications, NASA Goddard Space Flight Center, Code 616, Bldg. 22, Room 248, Greenbelt, MD 20771, United States;4. NOAA/NESDIS Center for Satellite Applications and Research, 5830 University Research Ct., College Park, MD 20740, United States;5. University of Massachusetts-Boston, 100 Morrissey Blvd., Boston MA 02125, United States;6. WETLabs Inc., 70 Dean Knauss Dr., Narragansett, RI 02882, United States;7. Environment Canada, 867 Lakeshore Road, Burlington, Ontario, Canada;8. University of South Florida, College of Marine Science, 140 Seventh Ave. South, St. Petersburg, FL 33701, United States;9. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, PR China;10. University of New Hampshire, 8 College Road, OPAL/Morse Hall, Durham, NH 03824, United States;11. Naval Research Laboratory, 4555 Overlook Ave SW, Washington, D.C. 20375, United States;12. Department of Oceanography, Dalhousie University, Halifax B3H 4R2, Canada |
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| Abstract: | Primary production (PP) was determined using 14C uptake at 117 stations in the Atlantic Ocean to validate three PP satellite algorithms of varying complexity. An empirical satellite algorithm based on log chlorophyll-a had the highest bias and root-mean square error compared with measured 14C PP and tended to under-estimate PP. The vertical generalised production model improved PP estimates and was the most accurate algorithm in the Eastern Tropical Atlantic (ETRA) and Western Tropical Atlantic (WTRA), but tended to over-estimate PP in eutrophic provinces. A photosynthesis-light wavelength-resolved model was the most accurate over the Atlantic basin, having the lowest mean log-difference error, root-mean square error and bias, and exhibited a superior performance in six out of the nine ecological provinces surveyed. Using this algorithm and mean monthly SeaWiFS fields, a PP time series was generated for the Atlantic Ocean from 1998 to 2005 which was compared with Advanced Very High Resolution Radiometer (AVHRR) sea-surface temperature (SST) data. There was a significant negative correlation between SST and PP in the North Atlantic Subtropical Gyre Province (NAST), North Atlantic Tropical Gyre (NATR), and WTRA suggesting that recent warming trends in these provinces are coupled with a decrease in phytoplankton production. |
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