{"title":"A global CO2 flux dataset (2015–2019) inferred from OCO-2 retrievals using the Tan-Tracker inversion system","authors":"Zhe Jin, X. Tian, Rui Han, Yu Fu, Xin Li, Huiqin Mao, Cuihong Chen","doi":"10.5194/ESSD-2021-210","DOIUrl":null,"url":null,"abstract":"Abstract. Accurate assessment of the various sources and sinks of carbon dioxide (CO2), especially terrestrial ecosystem and ocean fluxes with high uncertainties, is important for understanding of the global carbon cycle, supporting the formulation of climate policies, and projecting future climate change. Satellite retrievals of the column-averaged dry air mole fractions of CO2 (XCO2) are being widely used to improve carbon flux estimation due to their broad spatial coverage. However, there is no consensus on the robust estimates of regional fluxes. In this study, we present a global and regional resolved terrestrial ecosystem carbon flux (NEE) and ocean carbon flux dataset for 2015–2019. The dataset was generated using the Tan-Tracker inversion system by assimilating Observing Carbon Observatory 2 (OCO-2) column CO2 retrievals. The posterior NEE and ocean carbon fluxes were comprehensively validated by comparing posterior simulated CO2 concentrations with OCO-2 independent retrievals and Total Carbon Column Observing Network (TCCON) measurements. The validation showed that posterior carbon fluxes significantly improved the modelling of atmospheric CO2 concentrations, with global mean biases of 0.33 ppm against OCO-2 retrievals and 0.12 ppm against TCCON measurements. We described the characteristics of the dataset at global, regional, and Tibetan Plateau scales in terms of the carbon budget, annual and seasonal variations, and spatial distribution. The posterior 5-year annual mean global atmospheric CO2 growth rate was 5.35 PgC yr−1, which was within the uncertainty of the Global Carbon Budget 2020 estimate (5.49 PgC yr−1). The posterior annual mean NEE and ocean carbon fluxes were −4.07 and −3.33 PgC yr−1, respectively. Regional fluxes were analysed based on TransCom partitioning. All 11 land regions acted as carbon sinks, except for Tropical South America, which was almost neutral. The strongest carbon sinks were located in Boreal Asia, followed by Temperate Asia and North Africa. The entire Tibetan Plateau ecosystem was estimated as a carbon sink, taking up −49.52 TgC yr−1 on average, with the strongest sink occurring in eastern alpine meadows. These results indicate that our dataset captures surface carbon fluxes well and provides insight into the global carbon cycle. The dataset can be accessed at https://doi.org/10.11888/Meteoro.tpdc.271317 (Jin et al., 2021).\n","PeriodicalId":326085,"journal":{"name":"Earth System Science Data Discussions","volume":"38 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth System Science Data Discussions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/ESSD-2021-210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Abstract. Accurate assessment of the various sources and sinks of carbon dioxide (CO2), especially terrestrial ecosystem and ocean fluxes with high uncertainties, is important for understanding of the global carbon cycle, supporting the formulation of climate policies, and projecting future climate change. Satellite retrievals of the column-averaged dry air mole fractions of CO2 (XCO2) are being widely used to improve carbon flux estimation due to their broad spatial coverage. However, there is no consensus on the robust estimates of regional fluxes. In this study, we present a global and regional resolved terrestrial ecosystem carbon flux (NEE) and ocean carbon flux dataset for 2015–2019. The dataset was generated using the Tan-Tracker inversion system by assimilating Observing Carbon Observatory 2 (OCO-2) column CO2 retrievals. The posterior NEE and ocean carbon fluxes were comprehensively validated by comparing posterior simulated CO2 concentrations with OCO-2 independent retrievals and Total Carbon Column Observing Network (TCCON) measurements. The validation showed that posterior carbon fluxes significantly improved the modelling of atmospheric CO2 concentrations, with global mean biases of 0.33 ppm against OCO-2 retrievals and 0.12 ppm against TCCON measurements. We described the characteristics of the dataset at global, regional, and Tibetan Plateau scales in terms of the carbon budget, annual and seasonal variations, and spatial distribution. The posterior 5-year annual mean global atmospheric CO2 growth rate was 5.35 PgC yr−1, which was within the uncertainty of the Global Carbon Budget 2020 estimate (5.49 PgC yr−1). The posterior annual mean NEE and ocean carbon fluxes were −4.07 and −3.33 PgC yr−1, respectively. Regional fluxes were analysed based on TransCom partitioning. All 11 land regions acted as carbon sinks, except for Tropical South America, which was almost neutral. The strongest carbon sinks were located in Boreal Asia, followed by Temperate Asia and North Africa. The entire Tibetan Plateau ecosystem was estimated as a carbon sink, taking up −49.52 TgC yr−1 on average, with the strongest sink occurring in eastern alpine meadows. These results indicate that our dataset captures surface carbon fluxes well and provides insight into the global carbon cycle. The dataset can be accessed at https://doi.org/10.11888/Meteoro.tpdc.271317 (Jin et al., 2021).
摘要准确评估二氧化碳的各种来源和汇,特别是具有高度不确定性的陆地生态系统和海洋通量,对于了解全球碳循环、支持制定气候政策和预测未来气候变化具有重要意义。卫星反演的柱平均干空气CO2摩尔分数(XCO2)由于其广泛的空间覆盖范围而被广泛用于改进碳通量估算。但是,对区域通量的可靠估计没有达成共识。在这项研究中,我们提供了2015-2019年全球和区域陆地生态系统碳通量(NEE)和海洋碳通量数据集。数据集使用Tan-Tracker反演系统,通过吸收观测碳观测站2 (OCO-2)柱CO2检索生成。通过将后验模拟CO2浓度与OCO-2独立反演数据和总碳柱观测网络(TCCON)数据进行比较,全面验证了后验NEE和海洋碳通量。验证表明,后验碳通量显著改善了大气CO2浓度的建模,与OCO-2检索结果相比,全球平均偏差为0.33 ppm,与TCCON测量结果相比,全球平均偏差为0.12 ppm。在全球、区域和青藏高原尺度上描述了数据集的碳收支、年度和季节变化以及空间分布特征。后验的5年全球大气CO2年平均增长率为5.35 PgC - 1,在2020年全球碳预算估计值(5.49 PgC - 1)的不确定性范围内。后验年平均NEE和海洋碳通量分别为- 4.07和- 3.33 PgC yr - 1。基于TransCom分区分析了区域通量。所有11个陆地区域都起到了碳汇的作用,除了热带南美洲几乎是中性的。最强的碳汇位于北亚,其次是温带亚洲和北非。整个青藏高原生态系统为碳汇,平均吸收- 49.52 TgC yr - 1,其中东部高寒草甸碳汇最强。这些结果表明,我们的数据集很好地捕获了地表碳通量,并提供了对全球碳循环的深入了解。该数据集可通过https://doi.org/10.11888/Meteoro.tpdc.271317访问(Jin et al., 2021)。