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ClimateCost

   EU Funded Research project – 7th Framework Programme on:


       Economic costs of climate change


       Costs and benefits of mitigation (including co-benefits)


       Costs and benefits of adaptation



   Completed End of 2011


   Multi-disciplinary study, involving top-down and bottom up modelling, with teams
    from across Europe


   European detailed analysis, within Global assessment
Methods and Innovation
Climate Cost used Classical Impact Assessment Method - series of steps

•   Climate model output (future climate change signal)

   Combine with stock at risk (e.g. population)

   Use response functions that link climate parameters to assess physical impacts

   Value physical impacts in economic terms, for both market and non-market sectors

   Assess costs and benefits of adaptation

Innovation

   1) Explicitly consider climate uncertainty- rather than central projections only

   2) Separate out socio-economic and climate change

   3) Feed analysis into macro-economic assessment with CGE and IA models
Climate model analysis and data

   30 yr time slices ENSEMBLES data

   (2010-2040; 2040-2070; 270-2100) for 2 scenarios

   A1B (medium-high)

   E1 Mitigation (equivalent to 2 degrees)

   So can consider benefits of mitigation action




   BUT looking at uncertainty

   Very large differences across the models - even in the sign (+/-) of change

   Climate model information written up in short policy summary
Medium high
                                                                  baseline (A1B)




                                                                                                                                       mitigation
                                                                                                                                       Benefit of
                                                                                   Mitigation = 2
                                                                                   degrees (E1)




                                                                             Projected change in global mean temperature (°C) with respect
                                                                             to 1961-1990 for the A1B (red) and E1 (green) emissions
Source Christensen, Goodess, Harris, Climatic and Watkiss, 2011              scenarios. Results from ENSEMBLES GCMs. Thin lines:
                                                                             individual models. Thick lines: ensemble mean.
Models and Sector Analysis

ClimateCost uses a ‘impact assessment’ approach using sector models

   coastal zones (DIVA). Population affected, flood damage, beach erosion, loss wetlands, etc

   floods (LISFLOOD) – flood damage for 5 sectors.

   energy (POLES). Heating and cooling, hydro potential, thermal cooling, water abstraction

   health (LSHTM). Heat and cold related mortality, food borne disease, labour productivity, floods

   agriculture (UPM - PESETA). Crop based models and land productivity - linked to economic

   ecosystems (LPJ) – terrestrial carbon and biomes


   While comprehensive – still only a subset of impacts – and subset of sectors
Damage Costs are High – e.g. River Floods




                                                    River Damage Costs from Climate Change (EU27)
  River flood damage costs A1B, Feyen et al, 2011
But fall significantly with mitigation – e.g. Cooling

           Changes in EU27 energy costs due to climate change for                                                            Source Mima et al

                        cooling energy demand - A1B
     220                                                       BCM2
     200
     180                                                       EGMAM1                               E1 (mitigation)
     160
                                                               EGMAM2
     140                                                                            Changes in EU27 energy costs due to climate change for
     120                                                       EGMAM3                            cooling energy demand - E1
B$




     100                                                                      220                                                     CNCM33
      80                                                       IPCM4
                                                                              200                                                     EGMAM2_2
      60                                                       MPEH5_1        180
      40                                                                                                                              EGMAM2_3
                                                                              160
      20                                                       MPEH5_3                                                                IPCM4v2_1
                                                                              140
       0




                                                                         B$
                                                               DMIEH5         120                                                     IPCM4v2_2
     -20
                                                                              100                                                     IPCM4v2_3
            2020 2030 2040 2050 2060 2070 2080 2090 2100       HADGEM
                                                                               80
                                                                               60                                                     MPEH5C_1
                                                                               40                                                     MPEH5C_2
                             A1B                                               20                                                     MPEH5C_3
                                                                                0
                                                                                                                                      HADCM3C
                                                                              -20
                                                                                                                                      HADGEM2
                                                                                    2020 2030 2040 2050 2060 2070 2080 2090 2100




                                                    Cooling Energy Costs from Climate Change (EU27)
But with strong distributional patterns across Europe
               Annual damage costs (billions euros / year (2005 value))
                                                                          Coastal Damage Costs by Country




A1B, combination of SES and CC
Source Nicholls et al
Mitigation has important co-benefits

            Mitigation will improve air quality in Europe – locally and in the short-term

            Benefits (health, ecosystems) valued at €70 million/year by 2050




Source Rafaj et al, 2011, Holland et al, 2011   Statistical loss of life expectancy due to anthropogenic PM2.5, months
Adaptation appears potentially very cost-effective (cost-
          beneficial) in reducing costs of CC

 Benefits of Coastal adaptation (EU)                                                                                                Benefits of adaptation

                                                                 30

                                                                      No upgrade     A1B(I) Mid
                                                                      With upgrade
 Annual total damage cost (billions euros / year (2005 value))




                                                                 25   No upgrade
                                                                                     E1 Mid
                                                                      With upgrade

                                                                      No upgrade
                                                                                     No SLR
                                                                      With upgrade
                                                                 20




                                                                 15




                                                                 10




                                                                 5




                                                                 0
                                                                        Present                   2020s          2050s                       2080s
                                                                                                          Year
                                                                                                                         Coastal damage costs with and without adaptation
                                                                                                                                     A1B, Brown et al, 2011
But Considering
Uncertainty is key for
Adaptation

Change in flood damage for the 12
individual climate model A1B RCM
runs


Highlights the need for
robust adaptation
decision making



             A1B, combination of SES and CC
             Source Feyen et al JRC ISPRA
Mitigation and Climate Policy

   Project assessed some of the impacts of major catastrophic events

       Extreme SLR could lead to global damage costs of ~ $1 trillion/year by 2100,
        as well as flooding tens of millions of people (supports 2 degrees)

   Project has funded suite of mitigation model updates (POLES, GEM-E3) that
    were used in the 2050 Roadmap analysis




   Study developed new integrated assessment model (PAGE09), as well as FUND
    and WITCH models and run analysis of the costs and benefits of mitigation policy
    and social costs of carbon
What emerges from the study
    There are large economic costs from climate change in Europe

    Also strong distributional patterns across Europe – economic impacts are not equal
     across Member States

    Economic costs significantly lower under mitigation scenarios, but only post 2040,
     thus need for adaptation and mitigation

    Mitigation also avoids major tipping elements

    Mitigation leads to high co-benefits, health benefits and large economic benefits
     from improving air quality

    Adaptation effective in reducing impacts at low cost (high benefit to cost ratios)

    However, uncertainty requires decision making under uncertainty – and a move to
     robustness and resilience
Key success elements
    Large multi-disciplinary consortium, with wide geographical coverage, successfully
     completed project

    Key research developments

        New PAGE integrated assessment model

        Improvement of suite of EC mitigation policy tools

        European wide impact models

    Academic outputs (14 published papers to date, and rising)

    High degree of policy interaction – meetings, briefing notes – and use of the results
     in EC policy analysis (e.g. 2050 road map)
Dissemination
                     Series of Technical briefing notes




Available at:

www.climatecost.cc

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GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 

ClimateCost Summary presentation june 2012(1) 1

  • 1.
  • 2. ClimateCost  EU Funded Research project – 7th Framework Programme on:  Economic costs of climate change  Costs and benefits of mitigation (including co-benefits)  Costs and benefits of adaptation  Completed End of 2011  Multi-disciplinary study, involving top-down and bottom up modelling, with teams from across Europe  European detailed analysis, within Global assessment
  • 3. Methods and Innovation Climate Cost used Classical Impact Assessment Method - series of steps • Climate model output (future climate change signal)  Combine with stock at risk (e.g. population)  Use response functions that link climate parameters to assess physical impacts  Value physical impacts in economic terms, for both market and non-market sectors  Assess costs and benefits of adaptation Innovation  1) Explicitly consider climate uncertainty- rather than central projections only  2) Separate out socio-economic and climate change  3) Feed analysis into macro-economic assessment with CGE and IA models
  • 4. Climate model analysis and data  30 yr time slices ENSEMBLES data  (2010-2040; 2040-2070; 270-2100) for 2 scenarios  A1B (medium-high)  E1 Mitigation (equivalent to 2 degrees)  So can consider benefits of mitigation action  BUT looking at uncertainty  Very large differences across the models - even in the sign (+/-) of change  Climate model information written up in short policy summary
  • 5. Medium high baseline (A1B) mitigation Benefit of Mitigation = 2 degrees (E1) Projected change in global mean temperature (°C) with respect to 1961-1990 for the A1B (red) and E1 (green) emissions Source Christensen, Goodess, Harris, Climatic and Watkiss, 2011 scenarios. Results from ENSEMBLES GCMs. Thin lines: individual models. Thick lines: ensemble mean.
  • 6. Models and Sector Analysis ClimateCost uses a ‘impact assessment’ approach using sector models  coastal zones (DIVA). Population affected, flood damage, beach erosion, loss wetlands, etc  floods (LISFLOOD) – flood damage for 5 sectors.  energy (POLES). Heating and cooling, hydro potential, thermal cooling, water abstraction  health (LSHTM). Heat and cold related mortality, food borne disease, labour productivity, floods  agriculture (UPM - PESETA). Crop based models and land productivity - linked to economic  ecosystems (LPJ) – terrestrial carbon and biomes  While comprehensive – still only a subset of impacts – and subset of sectors
  • 7. Damage Costs are High – e.g. River Floods River Damage Costs from Climate Change (EU27) River flood damage costs A1B, Feyen et al, 2011
  • 8. But fall significantly with mitigation – e.g. Cooling Changes in EU27 energy costs due to climate change for Source Mima et al cooling energy demand - A1B 220 BCM2 200 180 EGMAM1 E1 (mitigation) 160 EGMAM2 140 Changes in EU27 energy costs due to climate change for 120 EGMAM3 cooling energy demand - E1 B$ 100 220 CNCM33 80 IPCM4 200 EGMAM2_2 60 MPEH5_1 180 40 EGMAM2_3 160 20 MPEH5_3 IPCM4v2_1 140 0 B$ DMIEH5 120 IPCM4v2_2 -20 100 IPCM4v2_3 2020 2030 2040 2050 2060 2070 2080 2090 2100 HADGEM 80 60 MPEH5C_1 40 MPEH5C_2 A1B 20 MPEH5C_3 0 HADCM3C -20 HADGEM2 2020 2030 2040 2050 2060 2070 2080 2090 2100 Cooling Energy Costs from Climate Change (EU27)
  • 9. But with strong distributional patterns across Europe Annual damage costs (billions euros / year (2005 value)) Coastal Damage Costs by Country A1B, combination of SES and CC Source Nicholls et al
  • 10. Mitigation has important co-benefits  Mitigation will improve air quality in Europe – locally and in the short-term  Benefits (health, ecosystems) valued at €70 million/year by 2050 Source Rafaj et al, 2011, Holland et al, 2011 Statistical loss of life expectancy due to anthropogenic PM2.5, months
  • 11. Adaptation appears potentially very cost-effective (cost- beneficial) in reducing costs of CC Benefits of Coastal adaptation (EU) Benefits of adaptation 30 No upgrade A1B(I) Mid With upgrade Annual total damage cost (billions euros / year (2005 value)) 25 No upgrade E1 Mid With upgrade No upgrade No SLR With upgrade 20 15 10 5 0 Present 2020s 2050s 2080s Year Coastal damage costs with and without adaptation A1B, Brown et al, 2011
  • 12. But Considering Uncertainty is key for Adaptation Change in flood damage for the 12 individual climate model A1B RCM runs Highlights the need for robust adaptation decision making A1B, combination of SES and CC Source Feyen et al JRC ISPRA
  • 13. Mitigation and Climate Policy  Project assessed some of the impacts of major catastrophic events  Extreme SLR could lead to global damage costs of ~ $1 trillion/year by 2100, as well as flooding tens of millions of people (supports 2 degrees)  Project has funded suite of mitigation model updates (POLES, GEM-E3) that were used in the 2050 Roadmap analysis  Study developed new integrated assessment model (PAGE09), as well as FUND and WITCH models and run analysis of the costs and benefits of mitigation policy and social costs of carbon
  • 14. What emerges from the study  There are large economic costs from climate change in Europe  Also strong distributional patterns across Europe – economic impacts are not equal across Member States  Economic costs significantly lower under mitigation scenarios, but only post 2040, thus need for adaptation and mitigation  Mitigation also avoids major tipping elements  Mitigation leads to high co-benefits, health benefits and large economic benefits from improving air quality  Adaptation effective in reducing impacts at low cost (high benefit to cost ratios)  However, uncertainty requires decision making under uncertainty – and a move to robustness and resilience
  • 15. Key success elements  Large multi-disciplinary consortium, with wide geographical coverage, successfully completed project  Key research developments  New PAGE integrated assessment model  Improvement of suite of EC mitigation policy tools  European wide impact models  Academic outputs (14 published papers to date, and rising)  High degree of policy interaction – meetings, briefing notes – and use of the results in EC policy analysis (e.g. 2050 road map)
  • 16. Dissemination Series of Technical briefing notes Available at: www.climatecost.cc