Changes in the Southern Ocean biological export production over the period 1968-2004 Marie-F. Racault, Corinne Le Quéré & Erik Buitenhuis.

Slides:

Advertisements

Similar presentations

Assessing the efficiency of iron fertilization on atmospheric CO2 using an intermediate complexity ecosystem model of the global ocean Olivier Aumont 1.

Advertisements

Physical / Chemical Drivers of the Ocean in a High CO 2 World Laurent Bopp IPSL / LSCE, Gif s/ Yvette, France.

Simulated and observed geopotential height and temperature changes.

1 Margaret Leinen Chief Science Officer Climos Oceans: a carbon sink or sinking ecosystems?

REMOTE SENSING OF SOUTHERN OCEAN AIR-SEA CO 2 FLUXES A.J. Vander Woude Pete Strutton and Burke Hales.

Zuchuan Li, Nicolas Cassar Division of Earth and Ocean Sciences Nicholas School of the Environment Duke University Estimation of Net Community Production.

NPZD DGOM Interannual chla variability (mgChl/m3) PISCES-T Observations (SeaWiFS) Calcifiers PO 4 Fe PO 4 DOCZoo POC export.

Particle transport and organic carbon fluxes off NW Africa: impact of dust and carbonate G. Fischer (1), M. Iversen (3, 4), G. Karakas (3), N. Nowald (1),

Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.

Working Group 4 Coastal Biogeochemistry Forum, June 23-25, 2004 K. Lindsay, G. McKinley, C. Nevison, K. Plattner, R. Seifert Can coastal ecosystems be.

Lecture 10: Ocean Carbonate Chemistry: Ocean Distributions Controls on Distributions What is the distribution of CO 2 added to the ocean? See Section 4.4.

Macro-zooplankton and PlankTOM10 Róisín Moriarty.

Impact of river sources of P, Si and Fe on coastal biogeochemistry da Cunha 1, L.C., Le Quéré 1, C., Buitenhuis 1, E.T., Giraud 1, X. & Ludwig 2, W. 1.

OCN520 Fall 2009 Mid-Term #2 Review Since Mid-Term #1 Ocean Carbonate Distributions Ocean Acidification Stable Isotopes Radioactive Isotopes Nutrients.

Ecosystem composition and CO 2 flux variability Corinne Le Quéré Max-Planck-Institut für Biogeochemie, Jena, Germany now at University of East Anglia/British.

6 th Green Ocean Workshop Villefranche sur mer Spring 2007.

Modelling the export of biogenic particulates from upper ocean Philip Boyd.

MODELLING THE FEEDBACKS BETWEEN PHYTOPLANKTON AND GLOBAL OCEAN PHYSICS 1 Max-Planck-Institut für Biogeochemie, Jena, Germany. 2 University of East Anglia,

The Ocean’s Role in the Carbon Cycle in Relation to Increased Atmospheric CO 2 Paul Loikith.

Nick Stephens Greencycles Mid-Term Review meeting 21/02/2007 1/18 Ocean Biogeochemistry Nicholas Stephens Max-Planck-Institut für Biogeochemie, Jena.

Lecture 16 Oxygen distributions and ocean ventilation Thermocline Ventilation and Deep Water Formation Oxygen Utilization rates.

Ecosystem composition and export production variability Corinne Le Quéré, Erik Buitenhuis, Christine Klaas Max-Planck-Institute for Biogeochemistry, Germany.

OPA – PlankTOM5.0 - DMS Meike Vogt * Corinne Le Quéré Erik T. Buitenhuis Sergio Vallina * Laurent Bopp.

Vulnerability of the ocean biological pump Corinne Le Quéré University of East Anglia and British Antarctic Survey See notes in individual slides.

5-9 Oct 2009 Bergen Final CarboOcean Meeting 1 Continental Shelf Pump Revisited K.-K. Liu Inst. of Hydrological & Oceanic Sciences National Central University,

Lecture 13 Export Production Lecture 12 summary: Primary Productivity is limited mostly by nutrients. In low latitudes (< 45 o ), the limiting nutrient.

Evaluating satellite ocean color-derived export production in the Southern Ocean using atmospheric O 2 /N 2 data Cindy Nevison University of Colorado Mati.

Climate sensitivity: what observations tell us about model predictions Corinne Le Quéré Max-Planck-Institut für Biogeochemie, Jena, Germany Acknowledgements:

Understanding the Ocean Carbon Cycle from Atmospheric Measurements of O 2 and CO 2 Andrew Manning, UEA, UK.

Drivers of multidecadal variability in JJA ozone concentrations in the eastern United States Lu Shen, Loretta J. Mickley School of Engineering and Applied.

Ocean circulation, carbon cycle and oxygen cycle Anand Gnanadesikan FESD Meeting January 13, 2012.

Results from the NCAR CSM1.4- carbon model at Bern Thomas Frölicher Climate and Environmental Physics, Physics Institute, University of Bern 1.Modeled.

T, light/UV, mixing, Fe, Si, …. Climate change C export CO 2, CH 4, COV CH 3 I DMS DMSe N2ON2O aérosols Structure of the phytolankton community CHX General.

Iron and Biogeochemical Cycles

Impact of vertical flux simulation on surface pCO 2 Joachim Segschneider 1, Iris Kriest 2, Ernst Maier-Reimer 1, Marion Gehlen 3, Birgit Schneider 3 1.

Third annual CarboOcean meeting, 4.-7.December 2007, Bremen, Segschneider et al. Uncertainties of model simulations of anthropogenic carbon uptake J. Segschneider,

Coordinated by: CARBOOCEAN Integrated ProjectContract No (GOCE) Global Change and Ecosystems Core Theme V report on future work.

45 th Liège Colloquium May 13 – 17, 2013 Fabian Große 1 *, Johannes Pätsch 2 and Jan O. Backhaus 2 1 Research Group Scientific Computing, Department of.

First results from the isopycnic ocean carbon cycle model HAMOCC & MICOM/BCM Karen Assmann, Christoph Heinze, Mats Bentsen, Helge Drange Bjerknes Centre.

CLIVAR/OCB Working Group: Oceanic Carbon Uptake in CMIP5 Models Ocean CO 2 uptake (Gt/yr) (climate change - control) Friedlingstein et al. [2006]

Yvette H. Spitz Oregon State University, CEOAS Carin J. Ashjian (1), Robert G. Campbell (2), Michael Steele (3) and Jinlun Zhang (3) (1) Woods Hole Oceanographic.

ATOC 220 Global Carbon Cycle Recent change in atmospheric carbon The global C cycle and why is the contemporary atmospheric C increasing? How much of the.

N2O-Climate feedback P.Friedlingstein, L. Bopp, S. Zaehle, P. Cadule and A. Friend IPSL/LSCE.

Law et al 2008; Matear & Lenton 2008; McNeil & Matear 2008 Impact of historical climate change on the Southern Ocean carbon cycle and implications for.

Session on Simulating variability of air-sea CO2 fluxes CarboOcean final meeting, Os, Norway, 5-9 October 2009 Funding: EU (GOSAC, NOCES), NASA, DOE, Swiss.

Core Theme 5 – WP 17 Overview on Future Scenarios - Update on WP17 work (5 european modelling groups : IPSL, MPIM, Bern, Bergen, Hadley) - Strong link.

Marine Ecosystem Simulations in the Community Climate System Model

Doney, 2006 Nature 444: Behrenfeld et al., 2006 Nature 444: The changing ocean – Labrador Sea Ecosystem perspective.

Natural Selection in a Model Ocean

Ocean Biological Modeling and Assimilation of Ocean Color Data Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Assimilation Objectives:

Biogeochemical Controls and Feedbacks on the Ocean Primary Production

1 Oxygen Cycle: Triple Isotopes An anomalous isotopic composition of atmospheric O 2 yields a very useful means to estimate photosynthesis rates. Potentially,

Multidecadal simulations of the Indian monsoon in SPEEDY- AGCM and in a coupled model Annalisa Bracco, Fred Kucharski and Franco Molteni The Abdus Salam.

Overview CARBOOCEAN EU FP6 Integrated Project CARBOOCEAN ”Marine carbon sources and sinks assessment” 3rd Annual Meeting – Bremen Germany 4-7 December.

Modeling and Data Assimilation in Support of ACE Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Supporting data and publications: Google.

Impact of climate change on the global oceanic sink of CO 2 Corinne Le Quéré, University of East Anglia and British Antarctic Survey.

What can we learn about biological production and air-sea carbon flux in the Southern Ocean from 12 years of observations in the Drake Passage? Colm Sweeney.

Chemistry = Physics + Biology Regions where nutrients are found in surface waters are also areas of upwelling and/or deep mixing. (Aha!) But what prevents.

Mean Ocean Concentrations. Vertical Variations Biolimiting.

”The potential of upper ocean alkalinity controls for atmospheric carbon dioxide changes” Christoph Heinze University of Bergen Geophysical Institute and.

Modelling the effect of increasing pCO 2 on pelagic aragonite production and dissolution 1. Laboratoire des Sciences du Climat et de l'Environnement (LSCE),

Ten Year average of SeaWIFS ocean color data ( ) (NASA/MODIS ocean color NORTHEAST PACIFIC CARBON PROGRAM Investigating.

Quantifying the Mechanisms Governing Interannual Variability in Air-sea CO 2 Flux S. Doney & Ivan Lima (WHOI), K. Lindsay & N. Mahowald (NCAR), K. Moore.

Oceans & Anthropogenic CO 2 V.Y. Chow EPS 131.  CO 2 exchange across sea surfaces in the oceans  Measurement methods of anthropogenic CO 2  Distributions.

Incorporating Satellite Time-Series data into Modeling Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Topics: Models, Satellite, and In.

WP11 Model performance assessment and initial fields for scenarios. Objectives and deliverables To determine, how well biogeochemical ocean general circulation.

National Oceanography Centre, UK

Pre-anthropogenic C cycle and recent perturbations

Iron and Biogeochemical Cycles

Icarus Allen, Tom Anderson, Corinne le Quéré

Presentation transcript:

Changes in the Southern Ocean biological export production over the period Marie-F. Racault, Corinne Le Quéré & Erik Buitenhuis CARBOOCEAN Annual Meeting Gran Canaria, December 2006

Strengthening and poleward shifting of the winds in the Southern Ocean 2004 mean 2004 minus 1967 NCEP winds (m/s)

Decrease in the Southern Ocean sink of CO 2 modelled expected observations

Changes in Export and Primary Production? Carbon content (PgC/y) of the Southern Ocean Total ΔFCO2 = 0.15 Δ FHeat = 0.01 ΔPP = ? ΔExp = ? ΔDIC = 0.4PgC/y ΔDIC = ? Atmosphere Euphotic zone Deep ocean

OPA General Circulation model o x2 o resolution 31 vertical levels Calculated vertical mixing NCEP daily forcing OPA model

PISCES-T ecosystem model 2 phyto, 2 zoo., 2 sinking particles Limitation by Fe, P, and Si Initialise with observations in 1948 (Buitenhuis et al., GBC 2006) PISCES-T model

Chla (mg/m 3 ) and biological export production (molC/m 2 /y) from the model and based on observations SeaWiFS Chla PISCES-T Chla PISCES-T bio. export Obs. bio. export * * Schlitzer, 2002

eratio in the Southern Ocean over the period mean Export Production (PgC/y) 1.4 Primary Production (PgC/y) 4.7 Southern Ocean eratio mean eratio Exp PP = 0.3

eratio in the Southern Ocean (SO) vs. Global Ocean SO mean Export Production (PgC/y) Primary Production (PgC/y) Global eratio SO mean eratio Exp PP = 0.3 SO global mean global mean eratio Exp PP = 0.15

OPA General Circulation model o x2 o resolution 31 vertical levels Calculated vertical mixing NCEP daily forcing Have the changes in circulation induced a trend in the biological export production? Simulation of PISCES-T with observed atmospheric forcing

OPA General Circulation model o x2 o resolution 31 vertical levels Calculated vertical mixing NCEP daily forcing from year 1967 repeated onward Have the changes in circulation induced a trend in the biological export production? Simulation of PISCES-T with constant atmospheric forcing

PISCES-T with wind forcing PISCES-T with constant wind SeaWiFS Running mean of the Chla Running mean of the Chla anomalies Comparison of the Chla (mg/m 3 ) between PISCES-T and SeaWiFS PISCES-T with wind forcing

PISCES-T with constant wind Comparison of the Chla (mg/m 3 ) PISCES-T with wind forcing SeaWiFS PISCES-T with wind forcing

Trend in the Southern Ocean Chla (mg/m 3 ) Time series of the Chla induced by changes in circulation PISCES-T with obs. atmo. forcing minus PISCES-T with constant forcing Increase of 0.07 mgChl/m 3 over 38 years

Increase in the eratio in the Southern Ocean caused by changes in circulation mean changes Δ Export Production (PgC/y) 0.3 Δ Primary Production (Pgc/y) 0.6 mean eratio PISCES-T eratio with obs. atmo. forcing minus PISCES-T eratio with constant forcing = 0.3 ΔExp ΔPP = 0.57 eratio due to changes in circulation

Increase in Export and Primary Production Carbon content (PgC/y) of the Southern Ocean Total ΔFCO2 = 0.15 Δ FHeat = 0.01 ΔPP = 0.6 ΔExp = 0.3 ΔDIC = 0.4PgC/y ΔDIC = 0.4 Atmosphere Euphotic zone Deep ocean

Conclusions Further work High eratio in the Southern Ocean Export production compensates 3/4 of the DIC Model results supported by observations Investigate the structure of the ecosystem and estimate its role in this context of circulation changes

Further modelling studies Prototype version of PLANKTON 10 currently working Diatoms N 2 fixers Phaeocystis Nanophyto plankton Fe CaCO 3 DMS DOM Mesozoo- plankton Microzoo- plankton Zoopl. filter feeders Bacteria Picophyto plankton Light Si Coccolitho- phorids NO 3 PO 4 NH 4