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Carbon emission metrics for Carbon emission metrics for climate stabilization and the climate stabilization and the implications to metrics implications to metrics for non-CO2 GHGs for non-CO2 GHGs Michio Kawamiya Research Institute for Global Change Japan Agency for Marine-earth Science and Technology

Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

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Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs. Michio Kawamiya Research Institute for Global Change Japan Agency for Marine-earth Science and Technology. Introduction: limitation of single basket approach. - PowerPoint PPT Presentation

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Page 1: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Carbon emission metrics for Carbon emission metrics for climate stabilization and climate stabilization and the implications to metricsthe implications to metricsfor non-CO2 GHGsfor non-CO2 GHGs

Michio KawamiyaResearch Institute for Global ChangeJapan Agency for Marine-earth Science and Technology

Page 2: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Introduction: limitation of Introduction: limitation of single basket approachsingle basket approach

“Methane+640GtC” and “1280GtC, No Methane” have the same forcing in terms of GWP.

-> “Single basket approach” does not work for discussing stabilization levels. (Eby et al., 2009; Solomon et al., 2011)

Forcings for these two lines have the same value of GWP.

GTP is superior when discussing stabilization

Page 3: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Different roles of short-lived Different roles of short-lived and long-lived agentsand long-lived agents

Short-lived: “trim” the peakLong-lived: determine the stabilization level

“Two-basket approach” is proposed ( Solomon et al., 2011)

-> GTP for short-lived agents Cumulative emission for long-lived agents

Page 4: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

CO2 concentration has been CO2 concentration has been often used as a carbon often used as a carbon emission metrics…emission metrics…

IPCC AR5 WG3 (2007)  

Page 5: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

… … then concentration then concentration metrics is converted to metrics is converted to socio-economic scenarios.socio-economic scenarios.

IPCC AR5 WG3 (2007)  

CO2 emission paths to achieve CO2 concentration stabilization

Page 6: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Cumulative carbon emission Cumulative carbon emission as a metric for climate as a metric for climate stabilization level and stabilization level and transient climate responsetransient climate response

Matthews et al. (2009)

Page 7: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

NotificationsNotifications

CCR = T/CE = (T/CA)(CA/CE) = αACCR: Climate-carbon response (matthews et al., 2009)α(=T/CA): Temperature rise per unit airborne carbonA(=CA/CE): Airborne fraction

Cf. Climate sensitivity: λ=T/F F: Radiative forcing

CCR may be regarded as “earth system sensitivity”, with the forcing being anthropogenic carbon emission rather than radiative forcing.

Page 8: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

CCR may be CCR may be independent independent of scenarioof scenario

1%/year increase

Instanteneous x2 & x4

Page 9: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

MIROC-ESM: a GCM-basedMIROC-ESM: a GCM-basedEarth System ModelEarth System Model

AGCM

CCSR/NIES/FRCGC

T42(~2.8ºx2.8º)

L80 (TOA:80km)

OGCM

COCO (CCSR/FRCGC)

Curvilinear grid system

(0.5-1.0)º x 1.4º

Atmosphere

Ocean Land

MIROC-AGCM

SPRINTARS (CHASER)

COCO

NPZD

MATSIRO

SEIB-DGVM

MIROC-ESM

Page 10: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Global warming projection Global warming projection with MIROC-ESM under RCP with MIROC-ESM under RCP scenariosscenarios

Page 11: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

MIROC-ESM 結果Temperature Rise averaged over 2090’s relative to 1980-1999 average

Page 12: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Climate Carbon Response in Climate Carbon Response in MIROC-ESMMIROC-ESM

(1) With all anthropogenic forcings (2) non-CO2 GHG corrected CCR

RCP2.6

RCP6.0

RCP4.5RCP8.5

R2.6

R6.0R4.5

R8.5

Page 13: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Another possible cause for Another possible cause for scenario dependence of CCRscenario dependence of CCR

Global temperaturechangeO

cean

hea

t upt

ake

Scenario A

Scenario B

Scenario A Scenario B

Changes in ocean heat uptake:Q = SW + LW +SH + LH = T

Efficiency of ocean heat uptake

Page 14: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

(3) Ocean-heat-uptake (OHU) corrected CCR

CCR is moderately scenario dependent in our case, but can be corrected in terms of OHU.

Page 15: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Airborne CO2 is again not a good metrics…(1) With all anthropogenic forcings (2) non-CO2 GHG corrected

(3) Ocean heat uptake corrected

Page 16: Carbon emission metrics for climate stabilization and the implications to metrics for non-CO2 GHGs

Implications for establishing Implications for establishing metrics for short-lived and metrics for short-lived and long-lived GHGslong-lived GHGs It is important to recognize the difference

between short-lived and long-lived GHGs with the same GWP, in particular for discussing climate stabilization.

For stabilization issues, cumulative emission (CE) of long-lived GHGs may be more desirable than concentration.

There may be a moderate scenario dependence of CE, especially for fast scenarios due to that of ocean heat uptake (OHU).

Constraining OHU efficiency may improve the validity of CE as a metrics.