INSTITUTE OF ATMOSPHERIC PHYSICS, CHINESE ACADEMY OF SCIENCES
About six gigatons — roughly 12 times the mass of all living humans — of carbon appears to be emitted over land every year, according to data from the Chinese Global Carbon Dioxide Monitoring Scientific Experimental Satellite (TanSat).
Using data on how carbon mixes with dry air collected from May 2017 to April 2018, researchers developed the first global carbon flux dataset and map. They published their results in Advances in Atmospheric Sciences.
The map was developed by applying TanSat’s satellite observations to models of how greenhouse gasses are exchanged among Earth’s atmosphere, land, water and living organisms. During this process, more than a hundred of gigatons of carbon are exchanged, but the increase in carbon emissions has resulted in net carbon added to the atmosphere — now at about six gigatons a year — which is a serious issue that contributes to climate change, according to Dongxu Yang, first author and a researcher in the Institute of Atmospheric Physics at the Chinese Academy of Sciences (IAP CAS).
“In this paper, we introduce the first implementation of TanSat carbon dioxide data on carbon flux estimations,” Yang said. “We also demonstrate that China’s first carbon-monitoring satellite can investigate the distribution of carbon flux across the globe.”
While satellite measurements are not as accurate as ground-based measurements, said co-author Jing Wang, a researcher in IAP CAS, satellite measurements provide continuous global observation coverage that provides additional information not available from limited or varied surface monitoring stations. For example, a monitoring station in a city may report very different observations compared to a station in a remote village, especially if they are in drastically different climates.
“The sparseness and spatial inhomogeneity of the existing ground-based network limits our ability to infer consistent global- and regional-scale carbon sources and sinks,” said co-author Liang Feng, researcher with the National Centre for Earth Observation at the University of Edinburgh. “To improve observation coverage, tailor-made satellites, for example TanSat, have been developed to provide accurate atmospheric greenhouse gas measurements.”
The data from these satellites, which includes TanSat, Japan’s GOSAT and the United States’ OCO-2, and future missions, will be used to independently verify national emission inventories across the globe. According to the Yang, this process will be overseen by the United Nations Framework Convention on Climate Change and begin in 2023, in support of the Paris Agreement. TanSat’s measurements generally match with data from the other satellites.
“This verification method will be helpful to better understand carbon emissions in real time, and to help ensure transparency across the inventories,” said co-author Yi Liu, researcher in IAP CAS.
The process will be bolstered by the next generation of satellites, known as TanSat-2, which is currently in the design phase. The goal, Yang said, will be to obtain measurements that help elucidate the carbon budget from the global scale down to individual cities.
TanSat, funded by the Ministry of Science and Technology of China and the China Meteorological Administration, was launched in December 2016.
Link to full non-paywalled paper.
Space-borne measurements of atmospheric greenhouse gas concentrations provide global observation constraints for top-down estimates of surface carbon flux. Here, the first estimates of the global distribution of carbon surface fluxes inferred from dry-air CO2 column (XCO2) measurements by the Chinese Global Carbon Dioxide Monitoring Scientific Experimental Satellite (TanSat) are presented. An ensemble transform Kalman filter (ETKF) data assimilation system coupled with the GEOS-Chem global chemistry transport model is used to optimally fit model simulations with the TanSat XCO2 observations, which were retrieved using the Institute of Atmospheric Physics Carbon dioxide retrieval Algorithm for Satellite remote sensing (IAPCAS). High posterior error reduction (30%–50%) compared with a priori fluxes indicates that assimilating satellite XCO2 measurements provides highly effective constraints on global carbon flux estimation. Their impacts are also highlighted by significant spatiotemporal shifts in flux patterns over regions critical to the global carbon budget, such as tropical South America and China. An integrated global land carbon net flux of 6.71 ± 0.76 Gt C yr−1 over 12 months (May 2017–April 2018) is estimated from the TanSat XCO2 data, which is generally consistent with other inversions based on satellite data, such as the JAXA GOSAT and NASA OCO-2 XCO2 retrievals. However, discrepancies were found in some regional flux estimates, particularly over the Southern Hemisphere, where there may still be uncorrected bias between satellite measurements due to the lack of independent reference observations. The results of this study provide the groundwork for further studies using current or future TanSat XCO2 data together with other surface-based and space-borne measurements to quantify biosphere-atmosphere carbon exchange.
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