Expert Meeting on the Assessment of Contributions to Climate Change Takanobu KOSUGI, Toshimasa TOMODA, Keigo AKIMOTO Research Institute of Innovative Technology for the Earth (RITE) Expert Meeting on the Assessment of Contributions to Climate Change UK Met Office, UK September , 2002 DNE21 Results for Phases 1 & 2

Interrelations in DNE21Model

Outline of the Climate Change Model Simple climate change model was constructed based on MAGICC (Model for the Assessment of Greenhouse gas Induced Climate Change). Carbon circulation (both oceanic and terrestrial), atmospheric concentrations of other GHGs, their radiative forcings, temperature rises of 4 representative points (north and south hemispheres, ocean and land), sea level changes of north and south hemispheres (energy balance of upwelling stream among one dimensional 40 layers) etc. are calculated. Cooling effect of SOx aerosol is taken into account.

Calculating Steps in Climate Change Model

Phase 1 Study Assumptions / Conditions –Historical emissions data: CDIAC database –Future emissions scenario: A2 of the IPCC SRES –Timeframe: 1765 to 2100 –Model parameters: Reference case as specified in T ERMS OF REFERENCE Cumulative CO 2 emissions

Results for Phase 1 CO 2 concentrationCH 4 and N 2 O concentrations Radiative forcing (relative to 1990)Global-average surface air temperature change

Phase 2 Study Assumptions / Conditions: –Historical emissions data: CDIAC database –Future emissions scenarios: A2, B1 and A1FI, of the IPCC SRES (For CO 2 emissions only. Non-CO 2 GHGs emissions are assumed to be zero.) –Emissions start year: 1991 –Emissions end years: 2010, 2050 and 2100 –Countries/regions: OECD90, REF, ASIA and ALM used in the IPCC SRES. –Model parameters: Reference case only (same as Phase 1)

Methodology of Attribution Calculation 1.Calculate emission effect V(t) (e.g., temperature change) of year t assuming that all the regions emit anthropogenic CO 2 according to Scenarios. 2.Calculate emission effect V R (t) assuming that one of the regions R does not emit anthropogenic CO 2 during the period between the emissions start year and an emissions end year. 3.Contribution of the region Rs emissions for the period is the difference: V(t) – V R (t). Phase 2: Minimization of non-linearity error Avoidance of non-anthropogenic emission effect N OTE

CO 2 Emissions Accumulated in Atmosphere A2 ScenarioA2 Scenario Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year Phase 2 results: (1) Emissions end year: 2010 (2) Emissions end year: 2050(3) Emissions end year: 2100

CO 2 Concentration A2 ScenarioA2 Scenario Phase 2 results: Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050

Radiative Forcing of CO 2 A2 ScenarioA2 Scenario Phase 2 results: Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050

Global-Average Temperature Change A2 ScenarioA2 Scenario Phase 2 results: Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050

Global-Average Sea Level Rise A2 ScenarioA2 Scenario Phase 2 results: Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050

CO 2 Emissions Accumulated in Atmosphere B1 ScenarioB1 Scenario Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year Phase 2 results: (2) Emissions end year: 2050(3) Emissions end year: 2100 (1) Emissions end year: 2010

CO 2 Concentration B1 ScenarioB1 Scenario Phase 2 results: Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050

Radiative Forcing of CO 2 B1 ScenarioB1 Scenario Phase 2 results: Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050

Global-Average Temperature Change B1 ScenarioB1 Scenario Phase 2 results: (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050 Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year

Global-Average Sea Level Rise B1 ScenarioB1 Scenario Phase 2 results: (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050 Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year

CO 2 Emissions Accumulated in Atmosphere A1FI ScenarioA1FI Scenario Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year Phase 2 results: (2) Emissions end year: 2050(3) Emissions end year: 2100 (1) Emissions end year: 2010

CO 2 Concentration A1FI ScenarioA1FI Scenario Phase 2 results: Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050

Radiative Forcing of CO 2 A1FI ScenarioA1FI Scenario Phase 2 results: Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050

Global-Average Temperature Change A1FI ScenarioA1FI Scenario Phase 2 results: (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050 Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year

Global-Average Sea Level Rise A1FI ScenarioA1FI Scenario Phase 2 results: (1) Emissions end year: 2010 (3) Emissions end year: 2100(2) Emissions end year: 2050 Attribution (%) in 2100 OECD90 REF ASIA ALM Emissions end year