Geometric correction for TanSat atmospheric carbon dioxide grating spectrometer

Zhang, Hang; Zheng, Yufang; Li, Shuai; Lin, Chao; Li, Chengliang; Yuan, Jingze; Li, Yue

doi:10.1016/j.sna.2019.04.034

Cited by 6 publications

(9 citation statements)

References 22 publications

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“…The TanSat and GF-5 series GHGs satellite payloads developed by China have successfully obtained high precision of global CO2 distributions (Li et al, 2016;Wu et al, 2018;Zhang et al, 2020a;Zhao et al, 2021). The comparisons with the TCCON, GOSAT, and OCO-2 data show that some key performance indicators such as accuracy, precision, and spatiotemporal resolution of these Chinese GHGs satellites have reached the envisaged requirements (Liu et al, 2013;Liu et al, 2014;Cai et al, 2014;Du et al, 2018;Yang et al, 2018a;Yang et al, 2018b, c;Zhang et al, 2019;Zhao et al, 2019;Bao et al, 2020;Wang et al, 2020c;Yang et al, 2020a, b;Yang et al, 2020d;Boesch et al, 2021;Yang et al, 2021a;Yang et al, 2021b). Both 2.…”

Section: Advances In Ghgs Monitoring In Chinamentioning

confidence: 92%

“…Optical remote sensing techniques sampling the total atmospheric column have been developed throughout the last two decades and have been found to be very useful for monitoring atmospheric GHGs (Wunch et al, 2011b). A series of state-of-the-art satellites with different spatiotemporal resolutions, including SCIAMACHY (Schneising et al, 2012;Dils et al, 2014;Houweling et al, 2014;Buchwitz et al, 2015;Heymann et al, 2015;Kulawik et al, 2016) and TROPOMI (Butz et al, 2012;Veefkind et al, 2012;Pandey et al, 2019;Wang et al, 2020a;Zhang et al, 2020b;Barre et al, 2021;Pandey et al, 2021;Park et al, 2021;Qu et al, 2021;Sha et al, 2021; by European Space Agency (ESA), GOSAT and GOSAT-2 by Japan (Butz et al, 2011;Morino et al, 2011;Cogan et al, 2012;Yoshida et al, 2013;Deng et al, 2014;Parker et al, 2020;Boesch et al, 2021), OCO-2 and OCO-3 by the United States (Thompson et al, 2012;Frankenberg et al, 2015;Eldering et al, 2017;Nassar et al, 2017;Patra et al, 2017;Wunch et al, 2017;Wang et al, 2020a;Zheng et al, 2020a;Zheng et al, 2020b;Hu and Shi, 2021;Kiel et al, 2021), TanSat (Liu et al, 2013;Liu et al, 2014;Yang et al, 2018a;Yang et al, 2018b, c;Zhang e...…”

Section: History Of Ghgs Monitoring Around the Globementioning

confidence: 99%

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Monitoring greenhouse gases (GHGs) in China: status and perspective

Sun

Yin²,

Wang³

et al. 2022

Preprint

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Abstract. In order to establish a creditable greenhouse gases (GHGs) monitoring network to support the goals of carbon peak/neutrality, it is necessary to know what we have done and what we have to do in the future. In this study, we summarize an overview to the status and perspective of GHGs monitoring in China. With decades of effort, China has made a great breakthrough in GHGs monitoring capacity and steadily improved the performance of homemade GHGs monitoring instruments. However, most GHGs monitoring studies are hitherto research-oriented, temporal, sparse, and uncoordinated. It is suggested to take full advantages of various monitoring technologies, monitoring platforms, numerical simulations, and inventory compilation techniques to form a creditable GHGs stereoscopic monitoring and assessment system at an operational level. We envisage that this system can routinely quantify GHGs on national, provincial, regional and even individual scales with high spatiotemporal resolution and wide coverage to support low-carbon policy in China.

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Section: Advances In Ghgs Monitoring In Chinamentioning

confidence: 92%

Section: History Of Ghgs Monitoring Around the Globementioning

confidence: 99%

Monitoring greenhouse gases (GHGs) in China: status and perspective

Sun

Yin²,

Wang³

et al. 2022

Preprint

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“…TanSat operates in three viewing modes: nadir, glint, and target. The swath width of TanSat measurements is ~18 km across the satellite track and contains 9 footprints each with a size of 2 km × 2 km at nadir [11,21].…”

Section: Introductionmentioning

confidence: 99%

Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO ₂ Retrievals

et al. 2022

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TanSat is China’s first greenhouse gases observing satellite. In recent years, substantial progresses have been achieved on retrieving column-averaged CO2 dry air mole fraction (XCO2). However, relatively few attempts have been made to estimate terrestrial net ecosystem exchange (NEE) using TanSat XCO2 retrievals. In this study, based on the GEOS-Chem 4D-Var data assimilation system, we infer the global NEE from April 2017 to March 2018 using TanSat XCO2. The inversion estimates global NEE at −3.46 PgC yr-1, evidently higher than prior estimate and giving rise to an improved estimate of global atmospheric CO2 growth rate. Regionally, our inversion greatly increases the carbon uptakes in northern mid-to-high latitudes and significantly enhances the carbon releases in tropical and southern lands, especially in Africa and India peninsula. The increase of posterior sinks in northern lands is mainly attributed to the decreased carbon release during the nongrowing season, and the decrease of carbon uptakes in tropical and southern lands basically occurs throughout the year. Evaluations against independent CO2 observations and comparison with previous estimates indicate that although the land sinks in the northern middle latitudes and southern temperate regions are improved to a certain extent, they are obviously overestimated in northern high latitudes and underestimated in tropical lands (mainly northern Africa), respectively. These results suggest that TanSat XCO2 retrievals may have systematic negative biases in northern high latitudes and large positive biases over northern Africa, and further efforts are required to remove bias in these regions for better estimates of global and regional NEE.

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“…We only use ND observations in this study. The swath width of TanSat measurements is ~18 km across the satellite track and contains 9 footprints each with a size of 2 km × 2 km in nadir (Lin et al, 2017; Zhang et al, 2019). Nadir and glint mode alternate orbit‐by‐orbit, and the TanSat nadir model ground track is typically between two OCO‐2 tracks, which provides potential future opportunities for combined usage of both data products for increased spatial coverage.…”

Section: Introductionmentioning

confidence: 99%

Toward High Precision XCO₂Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements

et al. 2020

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TanSat is the 1st Chinese carbon dioxide (CO 2) measurement satellite, launched in 2016. In this study, the University of Leicester Full Physics (UoL-FP) algorithm is implemented for TanSat nadir mode XCO 2 retrievals. We develop a spectrum correction method to reduce the retrieval errors by the online fitting of an 8 th order Fourier series. The spectrum-correction model and its a priori parameters are developed by analyzing the solar calibration measurement. This correction provides a significant improvement to the O 2 A band retrieval. Accordingly, we extend the previous TanSat single CO 2 weak band retrieval to a combined O 2 A and CO 2 weak band retrieval. A Genetic Algorithm (GA) has been applied to determine the threshold values of post-screening filters. In total, 18.3% of the retrieved data is identified as high quality compared to the original measurements. The same quality control parameters have been used in a footprint independent multiple linear regression bias correction due to the strong correlation with the XCO 2 retrieval error. Twenty sites of the Total Column Carbon Observing Network (TCCON) have been selected to validate our new approach for the TanSat XCO 2 retrieval. We show that our new approach produces a significant improvement on the XCO 2 retrieval accuracy and precision when compared to TCCON with an average bias and RMSE of −0.08 ppm and 1.47 ppm, respectively. The methods used in this study can help to improve the XCO 2 retrieval from TanSat and subsequently the Level-2 data production, and hence will be applied in the TanSat operational XCO 2 processing.

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Geometric correction for TanSat atmospheric carbon dioxide grating spectrometer

Cited by 6 publications

References 22 publications

Monitoring greenhouse gases (GHGs) in China: status and perspective

Monitoring greenhouse gases (GHGs) in China: status and perspective

Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO ₂ Retrievals

Toward High Precision XCO₂Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements

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Geometric correction for TanSat atmospheric carbon dioxide grating spectrometer

Cited by 6 publications

References 22 publications

Monitoring greenhouse gases (GHGs) in China: status and perspective

Monitoring greenhouse gases (GHGs) in China: status and perspective

Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals

Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements

Contact Info

Product

Resources

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Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO ₂ Retrievals

Toward High Precision XCO₂Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements