Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R)

Guo, Lifeng; Zhang, Xiaoye; Zhong, Junting; Wang, Deying; Chen, Miao; Zhao, Long; Zhou, Zijiang; Lü, Jie; Hu, Bo; Zhu, Li; Yan, Chao

doi:10.1016/j.eng.2023.02.017

Cited by 9 publications

(2 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, these cities exhibit relatively lower CO 2 concentrations (the table for GDP and population density distribution in each city in Shanxi Province is omitted). In addition, the results of the Shanxi carbon emission inversion in 2020 based on China Carbon Monitoring and Verification Support (CCMVS) show that Linfen has the highest carbon emissions of 46.2 TgCy −1 , accounting for 26% of the total carbon emissions in the province, which is in the second place of the high-value areas of CO 2 concentration in the province; while Xinzhou has the smallest carbon emissions of 3.4 TgCy −1 , accounting for 2% of the total carbon emissions in the province, which is the second lowest area in terms of CO 2 concentration in the province [27]. This study also analyzes the annual variation oinCO 2 concentration.…”

Section: Spatio-temporal Variation Characteristics Of Co 2 Concentrat...mentioning

confidence: 97%

The Spatio-Temporal Distribution Characteristics of Carbon Dioxide Derived from the Trajectory Mapping of Ground Observation Network Data in Shanxi Province, One of China’s Largest Emission Regions

Zhang,

Gao,

Pei

et al. 2024

Atmosphere

Self Cite

View full text Add to dashboard Cite

In this study, the trajectory mapping domain-filling technology, which can provide more reliable statistical estimates of long-lived gas concentrations in a broader geographical area based on limited station data, is used to map the CO2 concentration data of six ground observation stations to the entire Shanxi Province. The technology combines a dynamical model of the atmosphere with trace gas observations, combining forward and backward trajectories to greatly expand the information on long-lived CO2 gas concentrations over a trajectory path. The mapped results show good agreement with the observation results, which reveals the generalizability of the trajectory mapping domain-filling technology. The results show that the spatio-temporal distribution characteristics of CO2 concentration in the entire Shanxi region is significant: during the five years, the provincial average CO2 concentration exhibits an overall increasing trend. The CO2 concentration increases from the north to the south across the province. Influenced by the economic growth rate and COVID-19, there are differences in the annual variation characteristics of the CO2 concentration across the entire province, with the highest year-on-year growth in 2019 and a year-on-year decrease in 2020. The increasing rate of the CO2 concentration in the northern low-value areas is faster than that in the southern high-value areas. Overall, there is a decreasing trend in the CO2 concentration growth from the north to the south in the entire province. There are seasonal differences in the CO2 concentration distribution across the entire province. The CO2 concentration and amplitude are higher in autumn and winter than they are in spring and summer. This study can provide scientific support and methodological reference for the spatio-temporal distribution characteristics analysis of GHGs at the provincial–regional scale, as well as at the national and global scales.

show abstract

Section: Spatio-temporal Variation Characteristics Of Co 2 Concentrat...mentioning

confidence: 97%

The Spatio-Temporal Distribution Characteristics of Carbon Dioxide Derived from the Trajectory Mapping of Ground Observation Network Data in Shanxi Province, One of China’s Largest Emission Regions

Zhang,

Gao,

Pei

et al. 2024

Atmosphere

Self Cite

View full text Add to dashboard Cite

show abstract

“…These large anthropogenic carbon emissions will critically impact climate change in China and the world, and understanding the role of CO 2 in global warming is also crucial [18]. The Chinese government is increasingly concerned about climate change, and in 2020, China proposed the goals of peaking carbon emissions by 2030 and achieving carbon neutrality by 2060 [19]. To achieve dual carbon targets, the China Meteorological Administration (CMA) has promoted the establishment of China's Greenhouse Gas Observation Network (CGHGNET).…”

Section: Introductionmentioning

confidence: 99%

If Some Critical Regions Achieve Carbon Neutrality, How Will the Global Atmospheric CO2 Concentration Change?

Li,

Zhang,

Guo

et al. 2024

Remote Sensing

Self Cite

View full text Add to dashboard Cite

Due to anthropogenic emissions, the global CO2 concentration increases at a rate of approximately 2 ppm per year. With over 130 countries and regions committing to carbon neutrality goals and continuously reducing anthropogenic CO2 emissions, understanding how atmospheric CO2 concentrations will change globally and in other regions has become an intriguing question. Examining different regions’ efforts to reduce anthropogenic CO2 emissions through atmospheric CO2 observations is also meaningful. We used prior and posterior fluxes to drive the TM5 model. The posterior fluxes were based on the China Carbon Monitoring, Verification and Support System for Global (CCMVS-G), which assimilated the atmospheric CO2 concentration data from ground-based observation and satellite observation. We found that the CO2 concentration obtained using the posterior fluxes was more in line with the actual situation. Then, we presented some experiments to estimate how global and regional CO2 concentrations would change if certain key regions and the whole world achieved net zero emissions of anthropogenic CO2. After removing carbon fluxes from China, North America, and Europe, global CO2 concentrations decreased by around 0.58 ppm, 0.22 ppm, and 0.10 ppm, respectively. The most significant decrease occurred in the regions where fluxes were removed, followed by other areas at the same latitude affected by westerly winds. This indicates that fossil fuel flux is the main factor affecting CO2 concentrations, and that meteorological-driven transportation also significantly impacts CO2 concentrations. Most importantly, using this method, it is possible to quantitatively estimate the impact of achieving carbon neutrality in one region on CO2 concentrations in local regions as well as globally.

show abstract

A representative CO2 emissions pathway for China toward carbon neutrality under the Paris Agreement's 2 °C target

Zhang,

Huang,

Zhong

et al. 2023

Advances in Climate Change Research

View full text Add to dashboard Cite

Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R)

Cited by 9 publications

References 45 publications

The Spatio-Temporal Distribution Characteristics of Carbon Dioxide Derived from the Trajectory Mapping of Ground Observation Network Data in Shanxi Province, One of China’s Largest Emission Regions

The Spatio-Temporal Distribution Characteristics of Carbon Dioxide Derived from the Trajectory Mapping of Ground Observation Network Data in Shanxi Province, One of China’s Largest Emission Regions

If Some Critical Regions Achieve Carbon Neutrality, How Will the Global Atmospheric CO2 Concentration Change?

A representative CO2 emissions pathway for China toward carbon neutrality under the Paris Agreement's 2 °C target

Contact Info

Product

Resources

About