1
2. East Asian CO 2 balance 1. CH 4 inversion (Patra et al., 2016) Independent results from CH 4 inversion suggested that increase rate of inverted CH 4 emissions are 22% (9 Tg) lower than that of a EDGAR2012FT inventory during 2002-2012 (Fig. 2a). China anthropogenic emissions alone drives the a priori emission increase for East Asia. The validation using independent aircraft measurement over Sendai (by Tohoku University; Umezawa et al. 2014) showed that forward simulations with the a priori flux overestimated the observed CH 4 variations but that with the inverted flux showed good agreement. 2. Scaling factor Since the anthropogenic emissions of both CO 2 and CH 4 increase linearly in the emission inventory (Figs. 2b and 3), using the slopes of the fitted lines to East Asian CH 4 emission time series, we find a scaling factor of 0.59 (=1.53/2.61) to correct FFC CO 2 emission “increase rate” after 2002. 3. Corrected CO 2 emissions We apply the scaling factor to FFC CO 2 emission for the period 2003-2014, relative to the emissions for 2002 from GCP inventory (Fig. 4a). When scaled anthropogenic CO 2 emissions are used, we find no systematic increase in land CO 2 uptake over East Asia during 1993-2010 or 2000-2009 and that there is apparently a need of higher emission increase rate for 2010-2012 compared to those assumed here (Fig. 4b). 3. Global balance 1. Introduction Recent studies on CO 2 and CH 4 budget for East Asia have shown that: Here we introduce a new approach to use the CH 4 inversion results to refine the increase rate of bottom-up FFC CO 2 emissions for East Asia, and show that no systematic increase in land CO 2 uptake over East Asia may be required. The current study used only surface data for GHG concentrations in inversion analysis, but the results have equal implications for the use of satellite measurements in an inverse modelling system. Acknowledgements. This research was supported by Environment Research and Technology Development Funds from the Ministry of the Environment of Japan (2-1401) and the Environmental Restoration and Conservation Agency (2-1701). We thank all measurement groups for submitting CO 2 concentration data to the obspack-GLOBALVIEW product. We also thank Dr. Ingrid van der Laan-Luijkx (Wageningen U. for providing Carbones and IEA emission map and Dr. M. Kondo and Dr. K. Ichii for processed TRENDY results. TRENDY is a consortium of Dynamic Global Vegetation Model (DGVM) groups (Sitch et al., 2008). Summary Recent inverse modeling studies found a large increase in land CO 2 sink over the East Asia region. The inverse models assume emissions due to fossil fuel consumption and cement production (FFC) as a known quantity, and thus the uncertainties in prior FFC emissions may introduce systematic bias in estimation of the natural (residual) fluxes on the East Asia region as well as for other regions. We estimate the influence of overestimated anthropogenic CO 2 emissions on natural CO 2 sources and sinks estimations and suggest a method for refining East Asian FFC CO 2 emission increase rate using results from inverse modeling of CH 4 . By applying a CH 4 emission-based scaling factor, we found that (1) increase rate of bottom-up FFC emission for East Asia has likely been overestimated, (2) no systematic increase in land CO 2 uptake over East Asia during the 2000s, (3) revised land CO 2 fluxes are more consistent with fluxes from global dynamic vegetation models. Implications of Overestimated Anthropogenic CO 2 Emissions on East Asian and Global Land CO 2 Flux Inversions Tazu Saek i 1 * and Prabir K. Patra 2 1) National Institute for Environmental Studies (NIES), Japan; 2) Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Japan [email protected] Poster B5.8 14th International Workshop on Greenhouse Gas Measurements from Space May 8-10, 2018, Toronto, Canada 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 -0.6 -0.4 -0.2 0 0.2 0.4 East Asian land flux [PgC yr -1 ] Top-down model mean This work, FFC revised This work, FFC IEA Land biosphere model 0.5 1 1.5 2 2.5 3 China anthr. emission [PgC yr -1 ] GCP bottom-up IEA bottom-up CH 4 top-down scaling Economic growth scaling a b Symbols with broken lines: Bottom-up estimates, decadal mean Fig. 2. (a) Comparisons of CH 4 inversion results (black: a priori; blue: a posteriori) for the East Asia region with the EDGAR estimated FFC emissions for China. The linear fits to the annual mean values are shown as lines, with slopes being marked along the fitted lines. (b) Linear relationship of anthropogenic CO 2 and CH 4 emissions for China over the period of 1970-2012 is evident in the emission inventories, e.g., EDGAR42FT. The corrected anthropogenic CO 2 emissions also produce measurable reductions in the rate of global land CO 2 sink increase post-2002, leading to a better agreement with the terrestrial biospheric model simulations by TRENDY (Fig. 5). • Annual sink increase in East Asia by 0.56 (0.30–0.81) PgC between 1996–2001 and 2008– 2012 (Thompson et al., 2016) (Fig. 1). CO 2 inversion • Bottom-up East Asian anthropogenic emission is over estimated (mostly Chinese coal industry) (Patra et al., 2016) CH 4 inversion • Bottom-up FFC emission inventories have large uncertainty in China. e.g. Guan et al., 2012; Liu et al., 2015; Korsbakken et al., 2016 FFC CO 2 inventories Fig. 4. Effect of FFC CO 2 emission increase rate on regional carbon budget of East Asia. (a) Time series of anthropogenic CO 2 emission scenarios for China for 4 scenarios based on a scaling factor from CH 4 inversion results for East Asia, the economic (GDP) growth, and those estimated by GCP (CDIAC) and IEA emission inventories. (b) Effect of FFC CO 2 emission increase rate on regional carbon budget of East Asia. The mean inversion flux of East Asia (from Thompson et al. 2016) is corrected a posteriori for revised China FFC CO 2 emissions using scaling from CH 4 inversion (This work, FFC revised) and that from the IEA (This work, FFC IEA). The mean CO 2 exchange simulated by TRENDY DGVMs are also shown, confirming no significant increase in carbon uptake in East Asia due to CO 2 fertilization and climate (S2 simulation). The forest carbon storage rates based on the country statistics of Land use and land cover to the the U.N. Food and Agriculture Organization - Forest Resource Assessment (FAO-FRA2015; country-level inventory estimates; Calle et al., ERL, 2016) also suggest no signifcant change in carbon sequestraion in the East Asia region (symbols; different colors are for different data sources). N I E S The presentation is based on: Saeki, T. and Patra, P.K. (2017), Implications of overestimated anthropogenic CO2 emissions on East Asian and global land CO2 flux inversion, Geoscience Letters, 4, 9, doi:10.1186/s40562-017-0074-7. Fig. 1. Land biosphere fluxes estimated by seven atmospheric CO 2 inversions (incl. JAMSTEC’s ACTM) in East Asia (Thompson et al., 2016). Fig. 3. Time series of Chinese CO 2 and CH4 emissions for the major anthropogenic activity sectors as provided by the EDGAR database. The CO2 emission increase rate from power plants sector shows very close correspondence with CH4 emission increase due to coal mining and solid fuel transformation. The total anthropogenic emissions for CO2 and CH4 are also closely correlated in EDGAR. Fig. 5. Time series of CO 2 fluxes as estimated by the Global Carbon Project for fossil fuel and cement (FFC), land-use change (LUC), atmospheric burden increase (ABI), oceanic exchange (OCN), residual land biosphere (LND = FFC + LUC – ABI − OCN), ensemble mean land fluxes simulated by the global dynamic vegetation models (DGVMs from TRENDY project) during the period 1999–2014. FFC corrected by CH4 inversion scaling (corFFC) are also shown. Corrected land fluxes (corLND) is based on residuals calculated using corFFC emissions, which show the improved agreement of corLND fluxes with those simulated by the DGVMs.

poster IWGGMS2018 saeki - University of Toronto · 2018. 6. 19. · (incl.JAMSTEC’sACTM)in EastAsia(Thompsonetal., 2016). Fig.3.TimeseriesofChineseCO 2 andCH 4emissionsforthemajor

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Page 1: poster IWGGMS2018 saeki - University of Toronto · 2018. 6. 19. · (incl.JAMSTEC’sACTM)in EastAsia(Thompsonetal., 2016). Fig.3.TimeseriesofChineseCO 2 andCH 4emissionsforthemajor

2. East Asian CO2 balance1. CH4 inversion (Patra et al., 2016)

Independent results from CH4 inversion suggested thatincrease rate of inverted CH4 emissions are 22% (9 Tg)lower than that of a EDGAR2012FT inventory during2002-2012 (Fig. 2a). China anthropogenic emissionsalone drives the a priori emission increase for East Asia.

The validation using independent aircraft measurementover Sendai (by Tohoku University; Umezawa et al. 2014)showed that forward simulations with the a priori fluxoverestimated the observed CH4 variations but that withthe inverted flux showed good agreement.

2. Scaling factor

Since the anthropogenic emissions of both CO2 andCH4 increase linearly in the emission inventory (Figs. 2band 3), using the slopes of the fitted lines to East AsianCH4 emission time series, we find a scaling factor of 0.59(=1.53/2.61) to correct FFC CO2 emission “increase rate”after 2002.

3. Corrected CO2 emissions

We apply the scaling factor to FFC CO2 emission for theperiod 2003-2014, relative to the emissions for 2002from GCP inventory (Fig. 4a). When scaledanthropogenic CO2 emissions are used, we find nosystematic increase in land CO2 uptake over East Asiaduring 1993-2010 or 2000-2009 and that there isapparently a need of higher emission increase rate for2010-2012 compared to those assumed here (Fig. 4b).

3. Global balance

1. IntroductionRecent studies on CO2 and CH4 budget for East Asia have shown that:

Here we introduce a new approach to use the CH4 inversion results to refine theincrease rate of bottom-up FFC CO2 emissions for East Asia, and show that nosystematic increase in land CO2 uptake over East Asia may be required.

The current study used only surface data for GHG concentrations in inversion analysis,but the results have equal implications for the use of satellite measurements in aninverse modelling system.

Acknowledgements. This research was supported by Environment Research and Technology Development Funds from the Ministryof the Environment of Japan (2-1401) and the Environmental Restoration and Conservation Agency (2-1701). We thank allmeasurement groups for submitting CO2 concentration data to the obspack-GLOBALVIEW product. We also thank Dr. Ingrid van derLaan-Luijkx (Wageningen U. for providing Carbones and IEA emission map and Dr. M. Kondo and Dr. K. Ichii for processed TRENDYresults. TRENDY is a consortium of Dynamic Global Vegetation Model (DGVM) groups (Sitch et al., 2008).

SummaryRecent inverse modeling studies found a large increase in land CO2 sink over the East Asia region. The inverse models assume emissions due to fossil fuel consumption andcement production (FFC) as a known quantity, and thus the uncertainties in prior FFC emissions may introduce systematic bias in estimation of the natural (residual) fluxes onthe East Asia region as well as for other regions.

We estimate the influence of overestimated anthropogenic CO2 emissions on natural CO2 sources and sinks estimations and suggest a method for refining East Asian FFC CO2emission increase rate using results from inverse modeling of CH4. By applying a CH4 emission-based scaling factor, we found that (1) increase rate of bottom-up FFC emission forEast Asia has likely been overestimated, (2) no systematic increase in land CO2 uptake over East Asia during the 2000s, (3) revised land CO2 fluxes are more consistent with fluxesfrom global dynamic vegetation models.

Implications of Overestimated Anthropogenic CO2 Emissions on East Asian and Global Land CO2 Flux Inversions

Tazu Saeki1* and Prabir K. Patra2

1) National Institute for Environmental Studies (NIES), Japan; 2) Japan Agency for Marine-Earth Science and Technology (JAMSTEC), [email protected]

Poster B5.8 14th International Workshop on Greenhouse Gas Measurements from SpaceMay 8-10, 2018, Toronto, Canada

1994 1996 1998 2000 2002 2004 2006 2008 2010 2012-0.6

-0.4

-0.2

0

0.2

0.4

East

Asi

an la

nd fl

ux [P

gC y

r-1]

Top-down model meanThis work, FFC revisedThis work, FFC IEALand biosphere model

0.5

1

1.5

2

2.5

3

Chi

na a

nthr

. em

issi

on [P

gC y

r-1]

GCP bottom-upIEA bottom-upCH4 top-down scalingEconomic growth scaling

a

b

Symbols with broken lines: Bottom-up estimates, decadal mean

Fig. 2. (a) Comparisons of CH4 inversion results (black: a priori; blue:a posteriori) for the East Asia region with the EDGAR estimated FFCemissions for China. The linear fits to the annual mean values areshown as lines, with slopes being marked along the fitted lines. (b)Linear relationship of anthropogenic CO2 and CH4 emissions forChina over the period of 1970-2012 is evident in the emissioninventories, e.g., EDGAR42FT.

The corrected anthropogenic CO2 emissions also producemeasurable reductions in the rate of global land CO2 sinkincrease post-2002, leading to a better agreement withthe terrestrial biospheric model simulations by TRENDY(Fig. 5).

• Annual sink increase in East Asia by 0.56 (0.30–0.81) PgC between 1996–2001 and 2008– 2012 (Thompson et al., 2016) (Fig. 1).CO2 inversion

• Bottom-up East Asian anthropogenic emission is over estimated (mostly Chinese coal industry) (Patra et al., 2016)CH4 inversion

• Bottom-up FFC emission inventories have large uncertainty in China. e.g. Guan et al., 2012; Liu et al., 2015; Korsbakken et al., 2016

FFC CO2inventories

Fig. 4. Effect of FFC CO2 emission increase rate on regional carbonbudget of East Asia. (a) Time series of anthropogenic CO2 emissionscenarios for China for 4 scenarios based on a scaling factor from CH4inversion results for East Asia, the economic (GDP) growth, and thoseestimated by GCP (CDIAC) and IEA emission inventories. (b) Effect ofFFC CO2 emission increase rate on regional carbon budget of East Asia.The mean inversion flux of East Asia (from Thompson et al. 2016) iscorrected a posteriori for revised China FFC CO2 emissions using scalingfrom CH4 inversion (This work, FFC revised) and that from the IEA (Thiswork, FFC IEA). The mean CO2 exchange simulated by TRENDY DGVMsare also shown, confirming no significant increase in carbon uptake inEast Asia due to CO2 fertilization and climate (S2 simulation). The forestcarbon storage rates based on the country statistics of Land use andland cover to the the U.N. Food and Agriculture Organization - ForestResource Assessment (FAO-FRA2015; country-level inventory estimates;Calle et al., ERL, 2016) also suggest no signifcant change in carbonsequestraion in the East Asia region (symbols; different colors are fordifferent data sources).

N I E S

The presentation is based on: Saeki, T. and Patra, P.K. (2017), Implications of overestimated anthropogenic CO2 emissions on East Asian and global land CO2 flux inversion, Geoscience Letters, 4, 9, doi:10.1186/s40562-017-0074-7.

Fig. 1. Land biosphere fluxesestimated by sevenatmospheric CO2 inversions(incl. JAMSTEC’s ACTM) inEast Asia (Thompson et al.,2016).

Fig. 3. Time series of Chinese CO2and CH4 emissions for the majoranthropogenic activity sectors asprovided by the EDGAR database.The CO2 emission increase ratefrom power plants sector showsvery close correspondence withCH4 emission increase due to coalmining and solid fueltransformation. The totalanthropogenic emissions for CO2

and CH4 are also closely correlatedin EDGAR.

Fig. 5. Time series of CO2 fluxes as estimated by the Global Carbon Project forfossil fuel and cement (FFC), land-use change (LUC), atmospheric burdenincrease (ABI), oceanic exchange (OCN), residual land biosphere (LND = FFC +LUC – ABI − OCN), ensemble mean land fluxes simulated by the globaldynamic vegetation models (DGVMs from TRENDY project) during the period1999–2014. FFC corrected by CH4 inversion scaling (corFFC) are also shown.Corrected land fluxes (corLND) is based on residuals calculated using corFFCemissions, which show the improved agreement of corLND fluxes with thosesimulated by the DGVMs.