Multiannual changes of CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; emissions in China: indirect estimates derived from satellite measurements of tropospheric NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; columns

E V Berezin,S Tao,A Richter,M Beekmann,G Janssens-Maenhout,I B Konovalov,E.-D Schulze,P Ciais

doi:10.5194/acp-13-9415-2013

Abstract

Abstract. Multiannual satellite measurements of tropospheric NO2 columns are used for evaluation of CO2 emission changes in China in the period from 1996 to 2008. Indirect top-down annual estimates of CO2 emissions are derived from the satellite NO2 column measurements by means of a simple inverse modeling procedure involving simulations performed with the CHIMERE mesoscale chemistry–transport model and the CO2-to-NOx emission ratios from the Emission Database for Global Atmospheric Research (EDGAR) global anthropogenic emission inventory and Regional Emission Inventory in Asia (REAS). Exponential trends in the normalized time series of annual emissions are evaluated separately for the periods from 1996 to 2001 and from 2001 to 2008. The results indicate that the both periods manifest strong positive trends in the CO2 emissions, and that the trend in the second period was significantly larger than the trend in the first period. Specifically, the trends in the first and second periods are best estimated to be in the range from 3.7 to 8.3 and from 11.0 to 13.2% per year, respectively, taking into account statistical uncertainties and differences between the CO2-to-NOx emission ratios from the EDGAR and REAS inventories. Comparison of our indirect top-down estimates of the CO2 emission changes with the corresponding bottom-up estimates provided by the EDGAR (version 4.2) and Global Carbon Project (GCP) glomal emission inventories reveals that while acceleration of the CO2 emission growth in the considered period is a common feature of both kinds of estimates, nonlinearity in the CO2 emission changes may be strongly exaggerated in the global emission inventories. Specifically, the atmospheric NO2 observations do not confirm the existence of a sharp bend in the emission inventory data time series in the period from 2000 to 2002. A significant quantitative difference is revealed between the bottom-up and indirect top-down estimates of the CO2 emission trend in the period from 1996 to 2001 (specifically, the trend was not positive according to the global emission inventories, but is strongly positive in our estimates). These results confirm the findings of earlier studies that indicated probable large uncertainties in the energy production and other activity data for China from international energy statistics used as the input information in the global emission inventories. For the period from 2001 to 2008, some quantitative differences between the different kinds of estimates are found to be in the range of possible systematic uncertainties associated with our estimation method. In general, satellite measurements of tropospheric NO2 are shown to be a useful source of information on CO2 sources collocated with sources of nitrogen oxides; the corresponding potential of these measurements should be exploited further in future studies.

Highlights

The rapid increase in atmospheric carbon dioxide (CO2) concentration due to anthropogenic emissions is commonly recognized as one of the major driving forces of global warming (IPCC, 2007)
Where C is the monthly mean total tropospheric NO2 column amount measured by satellites over a considered region for the month i and the year j ; E(NOx) is the corresponding anthropogenic NOx amount emitted in the same region and month; α is the sensitivity of the NO2 columns to changes of the NOx emissions; and Cb is the “background” level of the tropospheric NO2 column amounts, which is not related to anthropogenic emissions in the given region and month
We selected all provinces where the annual mean and spatially averaged tropospheric NO2 columns retrieved from the SCIAMACHY measurements in 2008 exceed a threshold value ([NO2]c) of 1015 molecules cm−2

Summary

Introduction

The rapid increase in atmospheric carbon dioxide (CO2) concentration due to anthropogenic emissions is commonly recognized as one of the major driving forces of global warming (IPCC, 2007). CO2 and other greenhouse gas (GHG) emissions on different temporal and spatial scales are reported in many international (e.g., Olivier et al, 2005; GCP, 2010; Ciais et al, 2010; Janssens-Maenhout et al, 2012) and national (e.g., Ohara et al, 2007; Zhao et al, 2012; Huang et al, 2011) inventories. Such inventories are based on combination of available statistical information on activities in different sectors of the economy (such as transport, industries, energy production, etc.) with emission factors for individual processes and fuel types. Akimoto et al (2006) and Guan et al (2012) discuss possible underestimation of fossil fuel CO2 emissions in China due to inaccuracies in official information on the fossil fuel (in particular coal) consumption

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Conclusion