A comparison of global estimates of marine primary production from ocean color

• Published in: Deep Sea Research Part II: Topical Studies in Oceanography
• Main Authors: Carr, 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, Ishizaka, Joji, Kameda, Takahiko, Le Quere, Corinne, Lohrenz, Steven, Marra, John, Melin, Frederic, Moore, Keith, Morel, Andre, Reddy, Tasha E., Ryan, John, Scardi, Michele, Smyth, Tim, Turpie, Kevin, Tilstone, Gavin, Waters, Kirk, Yamanaka, Yasuhiro
• Other Authors: Virginia Institute of Marine Science (VIMS), Laboratoire d'océanographie de Villefranche (LOV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Geophysics Stanford, Stanford EARTH, Stanford University-Stanford University, Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Oregon State University (OSU), Max-Planck-Institut für Biogeochemie (MPI-BGC), Ocean Process Analysis Laboratory (OPAL), University of New Hampshire (UNH), Universidade de São Paulo = University of São Paulo (USP), Department of Chemistry York, UK, University of York York, UK, Global Modeling and Assimilation Office (GMAO), NASA Goddard Space Flight Center (GSFC), Remote Sensing Group, Plymouth Marine Laboratory, Joint Research Centre of the European Commission, JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre Ispra (JRC), Monterey Bay Aquarium Research Institute (MBARI), Department of Biology, University of Roma, Plymouth Marine Laboratory (PML), Frontier Research Center for Global Change (FRCGC), Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2006
• Subjects: [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography; Southern Ocean
• Online Access: https://hal.science/hal-03494195; https://doi.org/10.1016/j.dsr2.2006.01.028

International audience 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 degrees C, and chlorophyll concentration exceeding 1 mg 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. (c) 2006 Elsevier Ltd. All ...