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Helén Andersson, Markus Meier, Matthias Gröger, Christian Dieterich

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Presentation on theme: "Helén Andersson, Markus Meier, Matthias Gröger, Christian Dieterich"— Presentation transcript:

1 Helén Andersson, Markus Meier, Matthias Gröger, Christian Dieterich
Regionally downscaled climate projections for the Baltic and North Seas (CLIMSEA)

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3 Temperature change in the Baltic Sea
RCP8.5 2oC RCP4.5

4 Ice extent Modell Observations EC-EARTH RCP4.5 EC-EARTH RCP8.5

5 Sea level change

6 Changes in precipitation – increased runoff, decreased salinity

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8 Climate-change impacts over nothern Sweden (A1B-scenario)

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11 (North Sea + Baltic Sea)
RCA4-NEMO – coupled atmosphere ocean model Atmosphere Rossby Center Atmosphere model 4 24 km Ocean NEMO3.3.1 ocean component (North Sea + Baltic Sea) 2 NM, 56 vertical levels Boundary conditions from GCMs

12 Coupled ocean- biogeochemsitry
Swedish Coastal and Ocean biogeochemical model Boundary conditions: Nutrient loads !!!!!!!!!

13 3D Uncertainty Cube =48 scenarios
Baltic Sea Action Plan Eutrophication scenario Business as usual Reference MPI-ESM RCP2.6 RCP4.5 RCP6.0 RCP8.5 EC-EARTH RCP2.6 RCP4.5 RCP6.0 RCP8.5 Modelunceratiny HadGEM RCP2.6 RCP4.5 RCP6.0 RCP8.5 IPSL RCP2.6 RCP4.5 RCP6.0 RCP8.5 Climate Scenario uncertainty

14 Combined effects of climate change and nutrient loads
Ensemble modeling to quantify uncertainty Decision support to policy makers

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16 Work package 1: extension of database of regional projections
9 GCMs, 3 RCPs, 3 nutrient load scenarios Work package 2: analysis of parameters of importance for climate-impact studies in regional seas seasonal ocean parameters and climate indices of importance ecosystem functioning in different areas of the Baltic Sea Work package 3: development of methodology for ensemble selection select subsets of ensembles of climate simulations tailored to the needs within climate change impact studies - find an optimum number of simulations with uncorrelated information Work package 4: analysis of indicators of trends, variability and uncertainty in the extended ensemble projection Climate-change impacts on the marine ecosystem will be quantified and visualized The ensemble and different scenarios will be used to define appropriate ways to quantify and communicate uncertainty and bias associated with the model outputs.

17 D1. Month 6: Report: Identification of variables and indices for marine applications
D2. Month 15: Report: Description of the entire ensemble and results of climate change signals D3. Month 24: Report: Results of the cluster analysis and illustration of differences in climate change signals calculated from the entire ensemble and from the optimum subset D4. Month 24: Final Report: Summary and recommendations for operational marine climate projections for the Baltic Sea

18 enhances CMEMS roadmap concerning the assessment of past and future climate-change impacts on the ocean environment addresses CMEMS evolution strategy under R&D priorities for 4.8 ocean climate products, indicators and scenarios and the short to mid-term objectives to develop methods to infer the future state of the regional seas based on climate-model projections, including tests for quality and reliability. development and analyses of climate indicators of the physical and biogeochemical state of the Baltic Sea, where future trends and variability will bring essential information for the needs of spatial- and temporal resolution of monitoring activities as well as on changes in ocean health and ecosystem services. SMHI provides national climate services and national and CMEMS forecasting and data products (Baltic Marine Forecasting Centre BAL-MFC and In Situ Thematic Assembly Centre, INSTAC)

19 Team Dr. Matthias Gröger Dr. Helén Andersson Prof. Markus Meier
Ocean and climate scientist Dr. Helén Andersson Project leader, coordination of dissemination Prof. Markus Meier Ocean and climate scientist, scientific leadership Mr. Christian Dieterich Ocean and climate expert and scientific modeller

20 SMHI Research & Development - Oceanography
Expertise in oceanography, mathematics, physics, marine biology, marine chemistry. Development, use and interpretation of 3D coupled ocean-biogeocemistry models and coupled atmosphere-ocean-ice models (forecast and climatic timescales).


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