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Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University of Rostock Presented by Hans Burchard Leibniz Institute for Baltic Sea Research Warnemünde [email protected]

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Page 1: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Analysing internal causality and sensitivityto derive coastal sea responses

to varying climate and anthropogenic forcing

Concept for an SFB at the University of Rostock

Presented by Hans BurchardLeibniz Institute for Baltic Sea Research Warnemünde

[email protected]

Page 2: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Program of this presentation

• The Baltic Sea: a very special marine system• Changing Baltic Sea• Key questions of the SFB• SFB Structure• SFB Model Environment• SFB Graduate School

Page 3: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Baltic Sea drainage area

Mean freshwater run-off:

15000 m3/s

Page 4: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Dann kann aber doch fast gar kein Salz in der Ostsee sein ???

Baltic Sea monitoring

Page 5: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Salinity alongmonitoring section

Page 6: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Source: IOW

Major Baltic Inflow in January 2003

+

Darss Sill: 19 m

Page 7: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Oxygen alongmonitoring section

Page 8: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

A century of salinity in the Central Baltic Sea

Graphics: Markus Meier (SMHI)

Page 9: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Phosphate feedback cycle in the Baltic Sea ecosystem

Page 10: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University
Page 11: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Have we understood triggers and limitations

of cyanobacteria blooms ?

Page 12: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Cyanobacteria observation I – Central Baltic Sea(cell counts)

Suikkanen et al. 2007

1975 1985 1995 2005 1975 1985 1995 2005

no clear long-term trend

no clear correlationbetween cyanobacteria andforcing factors

Page 13: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Cyaonobacteria observation II - whole Baltic Sea(from satellite)

data by Kahru et al. 2007

0

2

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1978 1979 1980 1981 1982 1983 1984 1985

cyano

Temp

WEP*10

RP*10

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1996 1998 2000 2002 2004 2006

cyano

Temp

WEP*10

RP*10

(graphics by Inga Hense, IOW)

large inter-annual cyanobacteria fluctuations at small variations of forcing

no clear long-term trend

Page 14: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

We do not know the limiting and exitating factors for cyanobacteria blooms.

Many knowledge gaps are due to substantial undersamplingin time and space and in regulating parameters.

As long as we do not know how it works today, we have no predictivecapacity for future developments with respect to climate change andanthropogenic change.

Page 15: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

19581960 1965 1970 1975 1980 1985 1990 1995 2000 20050

0,1

0,2

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ph

os

ph

ate

mo

l/l)

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inflo

w

inflo

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inflo

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inflo

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Phosphate concentrations in winter surface layer in the Eastern Gotland Basin

The anthropogenic influence changes:

Reissmann et al., 2007

Page 16: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

1000

1100

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-2 -1.5 -1 -0.5 0 0.5

Temperature deviation (K) from the 1900-1980 mean

Year A.D.

Dalton-min.

Maunder-min.

Spörer-min.

ModernWarm-P.

MedievalWarm-P.

Cold phaseincl. Little Ice Age

1000

1100

1200

1300

1400

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1700

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1900

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-2 -1.5 -1 -0.5 0 0.5

Temperature deviation (K) from the 1900-1980 mean

Year A.D.

Dalton-min.

Maunder-min.

Spörer-min.

ModernWarm-P.

MedievalWarm-P.

Cold phaseincl. Little Ice Age

Laminated black mud(anoxic)

Laminated black mud(anoxic)

Light grey homogenous silt

(oxic)

Baltic climate of the past 1000 years

Page 17: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Figure SPM.5

Global climate change: emmission scenarios from IPCC 4th Assessment

http://www.ipcc.ch

Page 18: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Regional climate modeling at the Rossby Centre

Global Regional

Markus Meier (SMHI)

Page 19: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Markus Meier (SMHI)

The coupled system RCAO

Model domain, covering most of Europe and parts of the North Atlantic Ocean and Nordic Seas. Only the Baltic Sea is interactively coupled.

The coupling scheme of RCAO. Atmosphere and ocean/ice run in parallel.

OASIStmod

tcoup

ocean

atmos

rivers

landsurf

iceRCO

RCA

RCA: 44 km, 30 minRCO: 11 km, 10 minCoupling timestep: 3 h

Döscher et al. (2002)

Page 20: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Regionalization is done for ”time-slices” from GCMs

1800 1900 2000 2100

Present-day or a”control” climate

Climate scenario

CO2

Regional simulations

Results archived from a GCM-run

Time

(1961-1990) (2071-2100)

Markus Meier (SMHI)

Page 21: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Markus Meier (SMHI)

Page 22: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Sea surface salinity

Present climateProjection with the largest change

RCAO-E/A2

5 psu

Markus Meier (SMHI)

Page 23: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Markus Meier (SMHI)

Present climateProjection with the largest change

RCAO-E/A2

5 psu

52

77

145

836

1500

Sea surface salinity

Page 24: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Markus Meier (SMHI)

Annual mean SST (in °C) in present climate 1961-1990 (upper left), annual mean bias of simulated present climate compared to climatological data (upper right), and annual mean SST changes for the ensemble average (ECHAM4 and HadAM3H) of the B2 (lower left) and A2 (lower right) emission scenarios. The figure is taken from Meier (2006, Figs.13 and 14) with kind permission of Springer Science and Business Media.

Sea surface temperature:+1.9 … +3.9°C

Page 25: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Markus Meier (SMHI)

Mean number of ice days averaged for RCAO-H and RCAO-E: control (left panel), B2 scenario (middle panel), and A2 scenario (right panel). Figure is adopted from Meier et al. (2004).

Sea ice changes

Page 26: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Key questions of SFB

How can the abstract Baltic Sea response function and its interplay of linear and nonlinear processes be described in terms of logical, mathematical and numerical model components ?

How does the character of Baltic Sea inflow events react to climate change and which impact do these modified inflow dynamics have on the biogeochemical cascades which they trigger ?

How will the intensity and extent of cyanobacteria blooms react to climate and anthropogenic changes, and how will they interact with ecosystem dynamics of the Baltic Sea ?

How will spatio-temporal changes in near-bottom temperature, salinity and oxygen distributions affect the biodiversity and extent of benthic fauna, and which consequences does this have for the benthic-pelagic coupling in the Baltic Sea ?

Page 27: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Key questions of SFB

What is the role of redoxcline processes for overall biogeochemical cycles in the Baltic Sea and how are the communities and processes impacted by external forces (e.g., inflow events, turbulent mixing)?

Final overarching question:

To what extend does changing climate and anthropogenic forcing trigger ecosystem shifts in the Baltic Sea ?

Page 28: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Participating institutes

Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Department of Limnology of Stratified Lakes

Leibniz Institute for Baltic Sea ResearchWarnemünde at the University of Rostock

Institute of Biological SciencesUniversity of Rostock

Swedish Meteorological and Hydrological Institute, Nörrköping

Page 29: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Structure of the SFB

P1: Pelagic processes – influence of light and inorganic carbon on primary production

P2: Cyanobacteria blooms – dynamics and performance of diazotrophic cyanobacteria

P3: Photorespiration, respiration, photoadaptation, and DNA micro-array

P4:Diatom-dominated biofilmsT1: Biologically mediated particle and solute fluxes between sediment and the benthic boundary layer

T2: Organisms’ functional capacityT3: Quantification of in-situ fluxes at the sediment water interfaceT4: Impact of turbulent transport intermittency on the biogeochemistry of pelagic redoxclines

T5: Small-scale processes in the upper layers of the Baltic ProperM1: Particle-associated carbon turnover origin, decomposition and sedimentation

M2: Structure and function of microbial communities in redox gradientsM3: Biogeochemical element transformations and fluxesS1: Baltic Sea climate reconstructionS2: Analysis of the present Baltic Sea state S3: Climate change and anthropogenic impact scenario simulations for the Baltic Sea

Page 30: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Spatial relation of the subprojects

Page 31: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

SFB Model Environment

Page 32: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

Logical and mathematical

model

Implementation into SFB-BGC Module

and1D testing

Testing in 3D Ecosystem Model

Process studies P, T & M

System simulations S1, S2, S3

Analysis of process

reproduction

Process understanding

required by models

Interlinking between process studies and modelling system

Page 33: Analysing internal causality and sensitivity to derive coastal sea responses to varying climate and anthropogenic forcing Concept for an SFB at the University

SFB Integrated Graduate School:

•for all SFB Ph.D. students•interdisciplinary teaching for all together•modelling courses with 1D model system•teaching in statistical methods•exercises in field & lab methods•soft skills •…

After this SFB, we will know far more about the Baltic Sea system than at present.