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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/40993

Title: A comparison of global estimates of marine primary production from ocean color
Authors: Carra, Mary-Elena
Friedrichs, Marjorie A.M.
Schmeltz, Marjorie
Aita, Maki Noguchi
Antoine, David
Arrigo, Kevin R.
Asanuma, Ichio
Aumont, Olivier
Barber, Richard
Behrenfeld, Michael
Bidigare, Robert
Buitenhuis, Erik T.
Campbell, Janet
Ciotti, Aurea
Dierssen, Heidi
Dowell, Mark
Dunne, John
Esaias, Wayne
Gentili, Bernard
Gregg, Watson
Groom, Steve
Hoepffner, Nicolas
Ishizakas, Joji
Kameda, Takahiko
Le Quere, Corinne
Lohrenz, Steven
Marra, John
Melino, Frederic
Moore, Keith
Andre´ Morel
Reddy, Tasha E.
Ryan, John
Scardi, Michele
Smyth, Tim
Turpie, Kevin
Tilstone, Gavin
Watersa, Kirk
Yamanaka, Yasuhiro
Keywords: primary production algorithm round robin (PPARR3)
satellite measurements
ocean color
photosynthesis
Issue Date: Apr-2006
Publisher: Elsevier Ltd.
Citation: Deep-Sea Research II 53 (2006) 741–770 doi:10.1016/j.dsr2.2006.01.028
Abstract: The third primary production algorithm round robin (PPARR3) compares output from 24 models that estimate depth-integrated primary production from satellite measurements of ocean color, as well as seven general circulation models (GCMs) coupled with ecosystem or biogeochemical models. Here we compare the global primary production fields corresponding to eight months of 1998 and 1999 as estimated from common input fields of photosynthetically-available radiation (PAR), sea-surface temperature (SST), mixed-layer depth, and chlorophyll concentration. We also quantify the sensitivity of the ocean-color-based models to perturbations in their input variables. The pair-wise correlation between ocean-color models was used to cluster them into groups or related output, which reflect the regions and environmental conditions under which they respond differently. The groups do not follow model complexity with regards to wavelength or depth dependence, though they are related to the manner in which temperature is used to parameterize photosynthesis. Global average PP varies by a factor of two between models. The models diverged the most for the Southern Ocean, SST under 10 C, and chlorophyll concentration exceeding 1mg Chlm-3. Based on the conditions under which the model results diverge most, we conclude that current ocean-color-based models are challenged by high-nutrient low-chlorophyll conditions, and extreme temperatures or chlorophyll concentrations. The GCM-based models predict comparable primary production to those based on ocean color: they estimate higher values in the Southern Ocean, at low SST, and in the equatorial band, while they estimate lower values in eutrophic regions (probably because the area of high chlorophyll concentrations is smaller in the GCMs). Further progress in primary production modeling requires improved understanding of the effect of temperature on photosynthesis and better parameterization of the maximum photosynthetic rate.
URI: http://hdl.handle.net/2014/40993
Appears in Collections:JPL TRS 1992+

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