A comparison of CO2 emissions from the national greenhouse gases inventory report with CO2 emissions from the global inverse models and the regional WRF-Chem in the Korean Peninsula

Yunjae Cho, Hyun Mee Kim () and Min-Gyung Seo
Additional contact information
Yunjae Cho: Yonsei University
Hyun Mee Kim: Yonsei University
Min-Gyung Seo: Yonsei University

Mitigation and Adaptation Strategies for Global Change, 2025, vol. 30, issue 2, No 2, 24 pages

Abstract: Abstract Under the Paris Agreement, each party is obliged to reduce greenhouse gas emissions based on its nationally determined contribution target. The status of greenhouse gas emissions is summarized by the National Greenhouse Gases Inventory Report (NIR). This report has some uncertainties. Inverse model and online coupled regional chemistry-meteorology model can be used to supplement NIR. In this study, the annual CO2 emissions of South Korea estimated using surface CO2 flux data from CarbonTracker, Copernicus Atmosphere Monitoring Service (CAMS), and the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) were compared with the annual CO2 emissions of the NIR over 10-year period (2009–2018). To compare CO2 fluxes from models with CO2 emissions of the NIR, a method to convert CO2 fluxes from the models to CO2 emissions was devised. In South Korea, net CO2 emissions of the NIR were greater than those estimated from the model results. CarbonTracker, CAMS, and WRF-Chem provided net CO2 emission estimates and spatiotemporal CO2 emission information suitable for comparing with the NIR CO2 emissions. Meanwhile, land use, land use change, and forestry (LULUCF) sector CO2 emissions were more comparable to the biospheric CO2 emissions of the regional WRF-Chem than those of global inverse models (i.e., CarbonTracker and CAMS). This implies that the high-resolution regional model may provide more detailed spatiotemporal CO2 emission information and its tendency due to the application of the more detailed land use and vegetation information to the model. The CO2 emission information from the models is expected to be used for evaluating CO2 emissions of the NIR and supporting CO2 emission reduction policymaking.

Keywords: CO2 emissions; National greenhouse gases inventory report; Global inverse model; WRF-Chem (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11027-024-10195-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:masfgc:v:30:y:2025:i:2:d:10.1007_s11027-024-10195-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11027

DOI: 10.1007/s11027-024-10195-5

Access Statistics for this article

Mitigation and Adaptation Strategies for Global Change is currently edited by Robert Dixon

More articles in Mitigation and Adaptation Strategies for Global Change from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().