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

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.

Properties of Ocean Water

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

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.

Environmental control on phytoplankton size-fractionated primary production in the tropical and subtropical Atlantic, Indian and Pacific oceans The 45.

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

SW – 5 PRIMARY PRODUCTION IN THE OCEAN Francisco Chavez, Miquel Rosell, Anna Rumyantseva, Joanna Paczkowska, Cristina Garcia – Munoz, SM Sharifuzaman.

Decadal changes in ocean chlorophyll

CO 2 flux in the North Pacific Alan Cohn May 10, 2006.

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.

Nn Ocean biology: sensitivity to climate change and impacts on atmospheric CO 2 Irina Marinov (Univ. of Pennsylvania) UW PCC Summer School, WA, September.

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

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

The Ocean as a Microbial Habitat Matthew Church Marine Microplankton Ecology OCN 626/Fall 2008.

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

“The open ocean is a biological desert.”. Primary Production Global chlorophyll concentrations for Oct

Lesson 2 AOSC 621. Radiative equilibrium Where S is the solar constant. The earth reflects some of this radiation. Let the albedo be ρ, then the energy.

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

Anthropogenic ocean warming: A stress on ocean ecosystems David W. Pierce Tim P. Barnett Climate Research Division Scripps Institution of Oceanography.

Climate Change Projections of the Tasman Sea from an Ocean Eddy- resolving Model – the importance of eddies Richard Matear, Matt Chamberlain, Chaojiao.

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

Equatorial Pacific primary productivity: Spatial and temporal variability and links to carbon cycling Pete Strutton College of Oceanic and Atmospheric.

IoE The Basics of Satellite Oceanography. 7. Ocean Color and Phytoplankton Growth Lecture 7 Ocean Color and Phytoplankton Growth.

Iron and Biogeochemical Cycles

Lecture 5 The Climate System and the Biosphere. One significant way the ocean can influence climate is through formation of sea ice. Sea ice is much more.

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.

Melting glaciers help fuel productivity hotspots around Antarctica

Class 33 PRIMARY PRODUCTIVITY (PP) IN THE OCEANS Photosynthesis and Chemosynthesis Gross and Net Primary Production Cycling of organic matter Controlling.

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.

Comparison of Phytoplankton Dynamics in the North Atlantic and the North Pacific.

1 Using Satellite Data for Climate Modeling Studies: Representing Ocean Biology-induced Feedback Effect in the Tropical Pacific Rong-Hua Zhang CICS-ESSIC,

Radiative Coupling in the Oceans using MODIS-Aqua Ocean Radiance Data Watson Gregg, Lars Nerger Cecile Rousseaux NASA/GMAO Assimilate MODIS-Aqua Water-Leaving.

International Workshop for GODAR WESTPAC Global Ocean Data Archeology and Rescue: Scientific Needs from the Carbon Cycle Study in the Ocean Toshiro Saino.

Typical Distributions of Water Characteristics in the Oceans.

1 Melting glaciers help fuel productivity hotspots around Antarctica Kevin R. Arrigo Gert van Dijken Stanford University Melting glaciers help fuel productivity.

Marine Ecosystem Simulations in the Community Climate System Model

Climate feedback on the marine carbon cycle in CarboOcean Earth System Models J. Segschneider 1, E. Maier-Reimer 1 L. Bopp 2, J. Orr 2 1 Max-Planck-Institute.

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

Jim Greenwood, Richard Matear, Chaojiao Sun, Liejun Zhong, James McLaughlin May 2013 CSIRO MARINE AND ATMOSPHERIC RESEARCH / WEALTH FROM OCEANS Impact.

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

ASSESSING BIODIVERSITY OF PHYTOPLANKTON COMMUNITIES FROM OPTICAL REMOTE SENSING Julia Uitz, Dariusz Stramski, and Rick A. Reynolds Scripps Institution.

Open Ocean CDOM Production and Flux

Southern California Coast Observed Temperature Anomalies Observed Salinity Anomalies Geostrophic Along-shore Currents Warming Trend Low Frequency Salinity.

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

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.

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

Phytoplankton C:Chl difference between tropical Pacific & Atlantic: Implications for C estimates Wendy Wang University of Maryland/ESSIC Collaborators:

Assimilation of Aqua Ocean Chlorophyll Data in a Global Three-Dimensional Model Watson Gregg NASA/Global Modeling and Assimilation Office.

Daoxun Sun Outline Background Data Technical details Result EOF of chlorophyll data Correlation with possible factors Summary.

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.

Manfredi Manizza Scripps Institution of Oceanography University of California - San Diego Understanding the Role of Sea-Ice in the Southern.

Food web and microbial loop Eutrophic vs. Oligotrophic food webs

Critical and Compensation Depths (refer to handouts from 9/11/17)

Projected changes to the tropical Pacific Ocean

Projected changes to the tropical Pacific Ocean

Bio-optical Controls on

Iron and Biogeochemical Cycles

Chapter 10 Wind: Global Systems.

Ocean Water & Life.

Food web and microbial loop Eutrophic vs. Oligotrophic food webs

Projected changes to the tropical Pacific Ocean

Frontier Research System for Global Change,

Projected changes to the tropical Pacific Ocean

Presentation transcript:

MODELLING THE FEEDBACKS BETWEEN PHYTOPLANKTON AND GLOBAL OCEAN PHYSICS 1 Max-Planck-Institut für Biogeochemie, Jena, Germany. 2 University of East Anglia, Norwich, United Kingdom. Manfredi Manizza 1,2, C. Le Quéré 1, A. J. Watson 2, E. Buitenhuis 1

PHYTOPLANKTON-LIGHT- HEAT INTERACTION Ocean Surface Sun Absorption & Warming IoIo Shading & Cooling I (z) Phytoplankton

FROM TROPICAL TO GLOBAL 1) An OGCM (OPA) on global configuration: 0.5 ° ° x 2.0 ° (Lat x Lon) 1.5 order TKE Model. Gent-McWilliams eddy-mixing. 2) An ocean biogeochemistry model (Dynamic Green Ocean Model) : Diatoms and Coccolithophores and Nanophytoplankton. Micro and Mesozooplankton. Co-limitation of light,P, Si and Fe. 3) A Sea-Ice model (LIM) Tropical Studies : Nakamoto et al. (2000, 2001); Murtugudde et al. (2002) OGCM + Satellite derived Chlorophyll “Off-line” forcing  NO FEEDBACKS !! Ocean Surface IoIo I (z)

INCLUDING THE BIOLOGY K ( ) = kw ( ) + χ ( ) * [Chl] tot e( ) K ( ) = LIGHT EXTINCTION COEFFICIENT I (z) = I 0 *( R*e (-z/  1 ) + (1-R)*(e -(kr * z) +e -(kg * z) ) _____________ 2 RED BLUE/GREEN INFRARED I (z) = I o * (R*e (-z/  1 ) + (1-R)*e (-z/  2 ) ) Paulson & Simpson Model (JPO,1977) Morel Model (JGR,1988) [Chl] tot = [Chl] diatom + [Chl] cocco + [Chl] nano

Monthly Maximum THE MODELLED “BIO-FORCING” ( mg m-3) Monthly Average SURFACE [Chl]

Δ PENETRATION DEPTH (Z pen ) IoIo Z pen Z pen = ( ez ∫ I (z) dz)/I o Average (m) Z pen Visible Light = 23 m

TROPICS

Average 2 Δ SEA SURFACE TEMPERATURE °C Δ TEMPERATURE °C

Δ MLD & Δ u (surf) Average m/s - (m)

TROPICS TO SUB-TROPICS

TROPICS/SUBTROPICS INTERACTION Equator Subtropics +ΔPO 4 -ΔMLD +Δu+Δu +ΔTPP Δ TOTAL PRIMARY PRODUCTION gC m -2 yr -1 MONTHLY AVERAGE DEPTH

HIGH LATITUDES

Δ SEA SURFACE TEMPERATURE Monthly Maximum 2 °C

EFFECTS ON SEA-ICE (AVERAGE) Δ %ICE N = * [Chl] surf Δ %ICE S = -1.3 * [Chl] surf %( Δ Ice fraction) Sea-ice Ocean Sun Phytoplankton

GLOBAL

ECOSYSTEM RESPONSE ΔTotal Chl (mg m -3 ) ΔDiatoms (%) ΔCoccolithophores (%) ΔNanophyto (%) AVERAGE

IMPACT ON OCEAN CARBON CYCLE DiagnosticHow much ?Why ? ΔTOTAL PRIMARY PRODUCTION +0.6 PgC yr -1 Increased stratification and extra lateral supply of PO 4 in the subtropics. ΔEXPORT PRODUCTION -0.3 PgC yr -1 Greater stratification & higher remineralization of organic matter. ΔCO 2 FLUX-0.1 PgC yr -1 Surface warming, reduced vertical mixing, enhanced equatorial upwelling.

CONCLUSIONS Different and Regional Modifications: SST, MLD, CURRENTS, SEA-ICE. OCEAN PHYSICS  ECOSYSTEM & OCEAN BIOGEOCHEMISTRY  OCEAN CARBON CYCLE. Global OBGCM  Tropics and Interaction Tropics/Subtropics & High Latitudes. Phytoplankton presence affects light and heat penetration in the ocean.

Dynamic Green Ocean Model N 2 fixers DMS producers coccolith. Nano phytoplankton Fe NO 3 Si CaCO 3 PO 4 NH 4 DOM diatoms (Buitenhuis et al.,in prep.)