Validation of Column-Averaged Dry-Air Mole Fraction of CO2 Retrieved from OCO-2 Using Ground-Based FTS Measurements

Bi, Yanmeng; Wang, Qian; Yang, Zhiyong; Chen, Jie; Bai, Wenguang

doi:10.1007/s13351-018-7118-6

Cited by 14 publications

(14 citation statements)

References 19 publications

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“…Different from the comparison with space-based observations, the validation of target mode observations against the ground-based FTS measurements has a large data volume capacity for spatiotemporal matching. In addition, the ground-based FTS in Beijing has been utilized to validate OCO-2 observations in previous studies [28], indicating the stable operation of the Beijing FTS measurements. In order to obtain rigorous matching results for validation, the ground-based FTS matching rule was set as ±0.5 h. As for TanSat, it only takes five minutes to pass the target observation area.…”

Section: Validation Against Beijing Ground-based Fts Measurementsmentioning

confidence: 81%

“…In this study, these data were provided by the National Satellite Meteorological Center (NSMC) of the China Meteorological Administration. The TanSat data consisted of calibrated and geolocated spectra information from space observations, and the format was the Hierarchical Data Format version 5 (HDF5) format, whereas the ground-based FTS data were the XCO 2 results measured and retrieved using the TCCON observation standards [28,30].…”

Section: Datamentioning

confidence: 99%

“…XCO 2 was retrieved using the GGG software package (GGG2014, Jet Propulsion Laboratory, Pasadena, CA 91109, USA) provided by TCCON (https://tccon-wiki.caltech.edu/GGG). The Beijing FTS was utilized to validate OCO-2, and the comparison method used in the previous study [28] provided a good approach for TanSat validation.…”

Section: Beijing Ground-based Fts Measurement Datamentioning

confidence: 99%

“…In terms of the comparison criteria, the matching method used in this study was the same as that used in previous studies [28]. Using the matching criteria of spatial and temporal separations within ±1 • and ±2 h, respectively, some near-simultaneous XCO 2 data observed by GOSAT and OCO-2 were selected for comparison.…”

Section: Comparison With Other Xco 2 Productsmentioning

confidence: 99%

“…Wunch et al compared the OCO-2 official XCO 2 product from the ACOS algorithm with TCCON data, completing the first validation of the OCO-2 target mode that provided a bias correction for nadir mode and glint mode XCO 2 retrieval [27]. Bi et al validated OCO-2 observations with the Beijing ground-based FTS site, which provided a reliable method for TanSat validation [28]. For TanSat, Liu et al retrieved XCO 2 with the Institute of Atmospheric Physics, Chinese Academy of Sciences (IAPCAS) algorithm using nadir mode and validated the results with TCCON sites [29].…”

Section: Introductionmentioning

confidence: 99%

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Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing

et al. 2020

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Satellite observation is one of the main methods used to monitor the global distribution and variation of atmospheric carbon dioxide (CO2). Several CO2 monitoring satellites have been successfully launched, including Japan’s Greenhouse Gases Observing SATellite (GOSAT), the USA’s Orbiting Carbon Observatory-2 (OCO-2), and China’s Carbon Dioxide Observation Satellite Mission (TanSat). Satellite observation targeting the ground-based Fourier transform spectrometer (FTS) station is the most effective technique for validating satellite CO2 measurement precision. In this study, the coincident observations from TanSat and ground-based FTS were performed numerous times in Beijing under a clear sky. The column-averaged dry-air mole fraction of carbon dioxide (XCO2) obtained from TanSat was retrieved by the Department for Eco-Environmental Informatics (DEEI) of China’s State Key Laboratory of Resources and Environmental Information System based on a full physical model. The comparison and validation of the TanSat target mode observations revealed that the average of the XCO2 bias between TanSat retrievals and ground-based FTS measurements was 2.62 ppm, with a standard deviation (SD) of the mean difference of 1.41 ppm, which met the accuracy standard of 1% required by the mission tasks. With bias correction, the mean absolute error (MAE) improved to 1.11 ppm and the SD of the mean difference fell to 1.35 ppm. We compared simultaneous observations from GOSAT and OCO-2 Level 2 (L2) bias-corrected products within a ±1° latitude and longitude box centered at the ground-based FTS station in Beijing. The results indicated that measurements from GOSAT and OCO-2 were 1.8 ppm and 1.76 ppm higher than the FTS measurements on 20 June 2018, on which the daily observation bias of the TanSat XOC2 results was 1.87 ppm. These validation efforts have proven that TanSat can measure XCO2 effectively. In addition, the DEEI-retrieved XCO2 results agreed well with measurements from GOSAT, OCO-2, and the Beijing ground-based FTS.

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Section: Validation Against Beijing Ground-based Fts Measurementsmentioning

confidence: 81%

Section: Datamentioning

confidence: 99%

Section: Beijing Ground-based Fts Measurement Datamentioning

confidence: 99%

Section: Comparison With Other Xco 2 Productsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing

et al. 2020

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Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing

et al. 2022

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Measurements of column-averaged dry-air mole fractions of carbon dioxide and carbon monoxide, CO 2 (XCO 2 ) and CO (XCO), were performed throughout 2019 at an urban site in Beijing using a compact Fourier Transform Spectrometer (FTS) EM27/SUN. This data set is used to assess the characteristics of combustion-related CO 2 emissions of urban Beijing by analyzing the correlated daily anomalies of XCO and XCO 2 (e.g., ΔXCO and ΔXCO 2 ). The EM27/SUN measurements were calibrated to a 125HR-FTS at the Xianghe station by an extra EM27/SUN instrument transferred between two sites. The ratio of ΔXCO over ΔXCO 2 (ΔXCO:ΔXCO 2 ) is used to estimate the combustion efficiency in the Beijing region. A high correlation coefficient (0.86) between ΔXCO and ΔXCO 2 is observed. The CO:CO 2 emission ratio estimated from inventories is higher than the observed ΔXCO:ΔXCO 2 (10.46 ± 0.11 ppb ppm −1 ) by 42.54%–101.15%, indicating an underestimation in combustion efficiency in the inventories. Daily ΔXCO:ΔXCO 2 are influenced by transportation governed by weather conditions, except for days in summer when the correlation is low due to the terrestrial biotic activity. By convolving the column footprint [ppm (µmol m −2 s −1 ) −1 ] generated by the Weather Research and Forecasting-X-Stochastic Time-Inverted Lagrangian Transport models (WRF-X-STILT) with two fossil-fuel emission inventories (the Multi-resolution Emission Inventory for China (MEIC) and the Peking University (PKU) inventory), the observed enhancements of CO 2 and CO were used to evaluate the regional emissions. The CO 2 emissions appear to be underestimated by 11% and 49% for the MEIC and PKU inventories, respectively, while CO emissions were overestimated by MEIC (30%) and PKU (35%) in the Beijing area.

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Fast CO2 Retrieval Using a Semi-Physical Statistical Model for the High-Resolution Spectrometer on the Fengyun-3D Satellite

Zhang

Yang

et al. 2022

J Meteorol Res

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Validation of Column-Averaged Dry-Air Mole Fraction of CO2 Retrieved from OCO-2 Using Ground-Based FTS Measurements

Cited by 14 publications

References 19 publications

Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing

Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing

Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing

Fast CO2 Retrieval Using a Semi-Physical Statistical Model for the High-Resolution Spectrometer on the Fengyun-3D Satellite

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