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

Slides:



Advertisements
Similar presentations
DEVELOPING A EUROPEAN OCEAN COLOUR SERVICE SUPPORTING WATER QUALITY ASSESSMENT AND OPERATIONAL OCEANOGRAPHY Antoine Mangin1, Samantha Lavender2, Odile.
Advertisements

Limits of iron fertilization: Why simple models of iron fertilization may give misleading answers Anand Gnanadesikan NOAA/GFDL Princeton, NJ Irina Marinov,
The Ecology of Iron Enhanced Ocean Productivity Michael R. Landry Integrative Oceanography Division Scripps Institution of Oceanography University of California,
Biological Impacts on marine organisms in high CO2 world Yoshihisa Shirayama Seto Marine Biological Laboratory Kyoto University.
Carbon Sequestration by Ocean Fertilization Overview
Physical / Chemical Drivers of the Ocean in a High CO 2 World Laurent Bopp IPSL / LSCE, Gif s/ Yvette, France.
Phytoplankton in a high-CO 2 world: biological responses and their biogeochemical implications Ulf Riebesell Leibniz-Institut für Meereswissenschaften.
Has been observing the acidification of the Black Sea waters in XX century? Alexander Polonsky Marine Hydrophysical Institute 2011.
HKCEE Chemistry Volumetric Analysis &
Prospects for ocean sequestration of carbon dioxide Andrew Watson School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Some questions in current climate and CO 2 studies.
Modeling micronutrients in the ocean: The case of Iron Olivier Aumont Based on the work by: L. Bopp, A. Tagliabue, J.K. Moore, W. Gregg, P. Parekh, A.
Session: mesoscale 16 May th Liège Colloquium Belgium
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Fe-Stimulated Changes in Phytoplankton Biomarker Distributions and Carbon Isotopic Compositions During SOFeX R. Bidigare, S. Christensen, S. Brown, K.
Layer dominated by big cells (>20 um) with low Fv/Fm = 0.28 Layer dominated by small cells (< 5 um) with high Fv/Fm Layer dominated by big cells (>20 um)
Open Ocean Iron Fertilization Experiments From IronEx-I Through SOFEX: What We Know and What We Still Need to Understand Johnson, K S Chase, Z Elrod, V.
Changes in  15 N of nitrate and particulate nitrogen during a mesoscale iron fertilization experiment in the Southern Ocean David Timothy, Mark Altabet,
Renewable / Alternative / Sustainable Energy : Analyzing the options
REMOTE SENSING OF SOUTHERN OCEAN AIR-SEA CO 2 FLUXES A.J. Vander Woude Pete Strutton and Burke Hales.
Monitoring of Phytoplankton Functional Types in surface waters using ocean color imagery C. Moulin 1, S. Alvain 1,2, Y. Dandonneau 3, L. Bopp 1, H. Loisel.
NPZD DGOM Interannual chla variability (mgChl/m3) PISCES-T Observations (SeaWiFS) Calcifiers PO 4 Fe PO 4 DOCZoo POC export.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Marine Ecosystems and Food Webs. Carbon Cycle Marine Biota Export Production.
Biological pump Low latitude versus high latitudes.
Interactions between ocean biogeochemistry and climate Guest presentation for AT 762 Taka Ito How does marine biogeochemistry interact with climate? What.
Changes in the Southern Ocean biological export production over the period Marie-F. Racault, Corinne Le Quéré & Erik Buitenhuis.
Some (other) possible climate and biogeochemical effects of iron fertilization Andy Watson School of Environmental Sciences University of East Anglia Norwich.
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.
Ecosystem composition and CO 2 flux variability Corinne Le Quéré Max-Planck-Institut für Biogeochemie, Jena, Germany now at University of East Anglia/British.
LIGHT/VERTICAL MIXING The prevailing role of light in the Southern Ocean was inferred from the weak vertical stability of surface waters and the strong.
MODELLING THE FEEDBACKS BETWEEN PHYTOPLANKTON AND GLOBAL OCEAN PHYSICS 1 Max-Planck-Institut für Biogeochemie, Jena, Germany. 2 University of East Anglia,
Ecosystem composition and export production variability Corinne Le Quéré, Erik Buitenhuis, Christine Klaas Max-Planck-Institute for Biogeochemistry, Germany.
Modelling of Soluble Iron Formation Transport and Deposition to the North Pacific. Anthropogenic impacts. F. Solmon (1,2), P. Chuang (1), N.Meskhidze (3)
NOCES meeting Plymouth, 2005 June Top-down v.s. bottom-up estimates of air-sea CO 2 fluxes : No winner so far … P. Bousquet, A. Idelkadi, C. Carouge,
The uptake, transport, and storage of anthropogenic CO 2 by the ocean Nicolas Gruber Department of Atmospheric and Oceanic Sciences & IGPP, UCLA.
Vulnerability of the ocean biological pump Corinne Le Quéré University of East Anglia and British Antarctic Survey See notes in individual slides.
Climate Variability and Phytoplankton Composition in the Pacific Ocean Presented by James Acker Authors: Rousseaux C.S., Gregg W.W., Gregory G. Leptoukh.
Oceanic CO 2 removal options: Potential impacts and side effects Andreas Oschlies IFM-GEOMAR, Kiel.
Lecture 19 HNLC and Fe fertilization experiments
Climate sensitivity: what observations tell us about model predictions Corinne Le Quéré Max-Planck-Institut für Biogeochemie, Jena, Germany Acknowledgements:
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.
Natural and Anthropogenic Carbon-Climate System Feedbacks Scott C. Doney 1, Keith Lindsay 2, Inez Fung 3 & Jasmin John 3 1-Woods Hole Oceanographic Institution;
Equatorial Pacific primary productivity: Spatial and temporal variability and links to carbon cycling Pete Strutton College of Oceanic and Atmospheric.
C3.1: Regional assessment for the North Sea 3.1.1: data compliation 3.1.2: river input data 3.1.3: data on benthic calcification 3.1.4: novel marine air.
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,
Macro-Nutrient Transport Pathways and Interactions with the Iron Cycle. Export and remineralization of sinking, organic particles moves nutrients to denser.
The Influence of the Indonesian Throughflow on the Eastern Pacific Biogeochimical Conditions Fig.1 The last year of the two runs is used to force offline.
Remote input of nutrients in a changing climate
The Carbon Cycle within the Oceans Allyn Clarke With much help from Ken Denman, Glen Harrison and others.
Temporal and Spatial Variation of air-sea CO 2 Fluxes in the West Coast of Baja California, Mexico J. Martín Hernández-Ayón 1,Ruben Lara-Lara 2, Francisco.
Working Group 3: What aspects of coastal ecosystems are significant globally? Coastal Zone Impacts on Global Biogeochemistry NCAR, June 2004 Contributed.
N2O-Climate feedback P.Friedlingstein, L. Bopp, S. Zaehle, P. Cadule and A. Friend IPSL/LSCE.
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
Iron studies during JGOFS Philip Boyd
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
Surface Ocean pCO 2 and Air-Sea CO 2 -exchange in Coupled Models Birgit Schneider 1*, Laurent Bopp 1, Patricia Cadule 1, Thomas Frölicher 2, Marion Gehlen.
Phytoplankton C:Chl difference between tropical Pacific & Atlantic: Implications for C estimates Wendy Wang University of Maryland/ESSIC Collaborators:
Modelling the effect of increasing pCO 2 on pelagic aragonite production and dissolution 1. Laboratoire des Sciences du Climat et de l'Environnement (LSCE),
Simulating Southern Ocean Dynamics in Coupled Climate Models Scott Doney (WHOI) In collaboration with: Ivan Lima (WHOI) Keith Moore (UCI) Keith Lindsay.
Modelling some Southern Ocean biogeochemical paradox P. Monfray (IPSL, Paris) Acknowledgments: L.Bopp, O.Aumont, C.Le Quéré & J.Orr Prepared for JGOFS-SOSG,
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.
Iron and Biogeochemical Cycles
~90 ppmv -Cooler oceans decrease CO2 by 22 ppmv -Saltier oceans increase CO2 by 11 ppmv.
Presentation transcript:

Assessing the efficiency of iron fertilization on atmospheric CO2 using an intermediate complexity ecosystem model of the global ocean Olivier Aumont 1 and Laurent Bopp 2 1 IPSL / LODyC, Paris, France 2 IPSL / LSCE, Gif s/ Yvette, France The Ocean in a High CO2 World

Introduction : The HNLC regions The Iron hypothesis Fe

The Iron fertilization experiments A: IronexI B: IronexII C: SOIREE D: EisenEx E: SEEDS F: SOFEX G: Planktos H: SERIES A B C D E F G H Main results ChlorophyllFrom a 3 to a 40-fold increase, generally as diatoms pCO 2 A 30 to 90 atm drawdown in surface pCO 2 Export ProductionContrasting results, generally an increase DMSAn increase

Mitigation of atmospheric CO2 Large scale iron fertilization Iron fertilization can be used as a means of offsetting the anthropogenic carbone dioxide emission (Martin et al., 1991) Previous estimates (modeling studies) Peng and Broecker, 1991 Joos et al., 1991 Box modelsSouthern Ocean Preindustrial: -17 to -59 atm Anthropogenic : -64 to -107 atm Sarmiento and Orr, 1991OGCM Nutrient restoring Global Ocean Preindustrial: -3 to -72 atm Six and Maier-Reimer, 1993OGCM HAMOCC Southern Ocean Preindustrial: -34 atm Anthropogenic : -50 atm Archer et al., 2000OGCM HAMOCC Global Ocean Preindustrial: -50 atm Ganadesikan et al., 2003OGCM Nutrient restoring Patchy, equatorial Pacific Low efficiency, < 10% of increase in export production as atmospheric CO2

Questions Iron fertilization Can the model simulate the main features of the iron fertilization experiments ? What is the spatial and temporal variability of the response to fertilization ? What is the long-term efficiency of the fertilization ? Outline 1. Model description 2. Patchy iron fertilization 3. long-term iron fertilization on the global scale

Tools : Tools : Models OPA PISCES PO 4 3- Diatoms MicroZoo P.O.M D.O.M Si Iron Nano-phyto Meso Zoo NO 3 - NH 4 + SmallBig Euphotic Layer (10-200m)

Chlorophyll surface concentrations Seawifs (98-03) PISCES June January

Iron distribution Annual mean, surface Annual mean, 1000m

What limits diatoms growth ? NO 3 + NH 4 PO 4 FeSi

Iron Fertilization Patchy Iron Fertilization in the three main HNLC regions Experimental design - Iron concentration set to 2 nM in the mixed layer at day 2 and 5 - The model is integrated for 31 days - Fertilization applied over only one grid box

Iron Fertilization : The Southern Ocean (1) 2. Small response ( Chl < 0.7 mg Chl m -3 ) 3. Moderate response (0.7 < Chl< 2.5 mg Chl m -3 ) 4. Strong response (2.5 mg Chl m -3 < Chl ) 1. Blooming conditions (Chl > 1.5 mg Chl m -3 ) Chla Diatoms relative abundance

The Southern Ocean pCO2 ( atm) Export ( ) Si limitation, Si initial < 6 umol L 3. Mixed layer depth > 30 m, macronutrient replete 4. Favorable conditions, strongly iron limited 1. Stratification, ice retreat Why such responses ?

The Southern Ocean : Comparison with data pCO2 ( atm) Diatoms relative abundance Chla ( mg Chl m -3 ) SOFEX South SOFEX North SOIREE

Seasonal evolution January February July November

Iron Fertilization : The equatorial Pacific Diatoms relative abundance Chla ( mg Chl m -3 ) IRONEX II pCO2 ( atm) export (%)

Iron Fertilization : everywhere & 50 yr long Changes in Diatoms Relative Abundance +1 Export Production (GtC/yr) Years Fe Fertilization Increase of Export Production (gC/m2/yr) Changes in Chla (mg Chl m -3 )

Years Fe Fertilization Atmospheric pCO2 ( atm) Carbon Flux (PgC/yr) Impact on atmospheric pCO2 Preindustrial conditions atm in 10 yr Fe Fertilization Atmospheric pCO2 ( atm) Carbon Flux (PgC/yr) Export (PgC/yr) -1.8 atm in 50 yr atm in 50 yr >80% due to Southern Ocean

Why such a small efficiency ? Nutrient Limitation of Diatoms Growth NO 3 / NH 4 PO 4 FeSi Control Fe Fert. Light limitation NO3 ( mol/L)

Iron Fertilization : Implications for the Sulfur Cycle Changes in Surface DMS Concentrations Export Production Atmospheric pCO2 Carbon Flux -8 ppm in 50 yr nM DMS Flux (TgS/yr) -15 %

Conclusions Patchy Iron fertilization : The model roughly captures the main features of in situ iron fertilization experiments, except in the North Pacific. In the Southern Ocean, the response depends highly on the location and the time period of the iron release. Main controlling factors are Si concentrations, the mixed layer depth, and the status of the ecosystem. The favorable season extends from November to March. Large-scale Iron fertilization : Very low efficiency : only 8 ppmv drawdown in atmospheric pCO2 after 50 years. Iron fertilization should be done continuously to keep the additionally stored CO2 within the ocean. Possible drawbacks : N2O production, extension of the anoxic regions, changes in the fisheries, possible decrease in DMS production, …

Diatoms relative abundance : vs Data Data from Gregg et al JanFebMarAprMayJun JulAugSepOctNovDec 60°S 40°S 20°S 0° 20°N 40°N 60°N 80°N

Iron Fertilization : The North Pacific Diatoms relative abundance Chla ( mg Chl m -3 )