{"title":"High-resolution atmospheric CO2 concentration data simulated in WRF-Chem over East Asia for 10 years","authors":"Min-Gyung Seo, Hyun Mee Kim, Dae-Hui Kim","doi":"10.1002/gdj3.273","DOIUrl":null,"url":null,"abstract":"<p>In this study, high-resolution CO<sub>2</sub> concentration data were generated for East Asia to analyse long-term changes in atmospheric CO<sub>2</sub> concentrations, as East Asia is an important region for understanding the global carbon cycle. Using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), atmospheric CO<sub>2</sub> concentrations were simulated in East Asia at a resolution of 9 km for a period of 10 years (2009–2018). The generated CO<sub>2</sub> concentration data include CO<sub>2</sub> concentrations, biogenic CO<sub>2</sub> concentrations, anthropogenic CO<sub>2</sub> concentrations, oceanic CO<sub>2</sub> concentrations, biospheric CO<sub>2</sub> uptake, biospheric CO<sub>2</sub> release and meteorological variables at 3-h intervals. The simulated high-resolution CO<sub>2</sub> concentrations, biogenic CO<sub>2</sub> concentrations and anthropogenic CO<sub>2</sub> concentrations are stored in NetCDF-4 (Network Common Data Form, version 4) format and are available for download at https://doi.org/10.7910/DVN/PJTBF3. The simulated annual mean surface CO<sub>2</sub> concentrations in East Asia were 391.027 ppm in 2009 and 412.949 ppm in 2018, indicating an increase of 21.922 ppm over the 10-year period with appropriate seasonal variabilities. The monthly mean CO<sub>2</sub> concentrations in East Asia were verified using surface CO<sub>2</sub> observations and satellite column-averaged CO<sub>2</sub> mole fraction (XCO<sub>2</sub>) from Orbiting Carbon Observatory 2 (OCO-2). Based on surface CO<sub>2</sub> observations and OCO-2 XCO<sub>2</sub> concentrations, the average root-mean-square error (RMSE) of the simulated CO<sub>2</sub> concentrations in WRF-Chem was 2.474 and 0.374 ppm, respectively, which is smaller than the average RMSE of the low-resolution CarbonTracker 2019B (CT2019B) simulation. Therefore, the simulated high-resolution atmospheric CO<sub>2</sub> concentrations in East Asia in WRF-Chem over 10 years are reliable data that resemble the observed values and could be highly valuable in understanding the carbon cycle in East Asia.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"11 4","pages":"1024-1043"},"PeriodicalIF":3.3000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.273","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.273","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, high-resolution CO2 concentration data were generated for East Asia to analyse long-term changes in atmospheric CO2 concentrations, as East Asia is an important region for understanding the global carbon cycle. Using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), atmospheric CO2 concentrations were simulated in East Asia at a resolution of 9 km for a period of 10 years (2009–2018). The generated CO2 concentration data include CO2 concentrations, biogenic CO2 concentrations, anthropogenic CO2 concentrations, oceanic CO2 concentrations, biospheric CO2 uptake, biospheric CO2 release and meteorological variables at 3-h intervals. The simulated high-resolution CO2 concentrations, biogenic CO2 concentrations and anthropogenic CO2 concentrations are stored in NetCDF-4 (Network Common Data Form, version 4) format and are available for download at https://doi.org/10.7910/DVN/PJTBF3. The simulated annual mean surface CO2 concentrations in East Asia were 391.027 ppm in 2009 and 412.949 ppm in 2018, indicating an increase of 21.922 ppm over the 10-year period with appropriate seasonal variabilities. The monthly mean CO2 concentrations in East Asia were verified using surface CO2 observations and satellite column-averaged CO2 mole fraction (XCO2) from Orbiting Carbon Observatory 2 (OCO-2). Based on surface CO2 observations and OCO-2 XCO2 concentrations, the average root-mean-square error (RMSE) of the simulated CO2 concentrations in WRF-Chem was 2.474 and 0.374 ppm, respectively, which is smaller than the average RMSE of the low-resolution CarbonTracker 2019B (CT2019B) simulation. Therefore, the simulated high-resolution atmospheric CO2 concentrations in East Asia in WRF-Chem over 10 years are reliable data that resemble the observed values and could be highly valuable in understanding the carbon cycle in East Asia.
Geoscience Data JournalGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍:
Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.
An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices.
Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.