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China's First Dedicated Carbon Satellite Mission (TanSat)

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".

Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 5986

Special Issue Editors


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Guest Editor
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Interests: greenhouse gas satellite remote sensing and carbon flux inversion

E-Mail Website
Guest Editor
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Interests: greenhouse gas satellite remote sensing and carbon flux inversion

E-Mail Website
Guest Editor
Department of Physics and Astronomy, University of Leicester, Leicester, UK
Interests: greenhouse gas satellite remote sensing and carbon flux inversion

E-Mail Website
Guest Editor
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Interests: principal scientist on TanSat data applications

Special Issue Information

Dear Colleagues,

Since CO2 has been recognized as the most important anthropogenic greenhouse gas, owing to its significant impact on global warming and climate change, there are a substantial number of studies investigating the status of CO2 in the atmosphere in the past and present and how it will change in the future. In support of the upcoming global stocktake in 2023, new methods are needed to determine the extent of human emissions’ impact on the global carbon cycle and climate change. Top-down carbon flux inversion by assimilating atmospheric carbon dioxide (CO2) measurements is a useful tool for evaluating the global carbon budget and was used in the 2019 Refinement to the 2006 Intergovernmental Panel on Climate Change (IPCC) Guidelines for National Greenhouse Gas Inventories. Ground-based measurements provide highly accurate continuous data and have improved our understanding of global carbon flux. However, the sparseness and spatial inhomogeneity of the existing ground-based network limits our ability to infer consistent global- and regional-scale CO2 sources and sinks, especially for tropical and high-latitude regions. To improve observation coverage, tailor-made satellites have been developed that provide atmospheric greenhouse gas (GHG) measurements with unprecedented precision.

China plays an important role in the global carbon budget as a major source of anthropogenic carbon due to its rapid economic development, although it simultaneously represents a region of increased carbon sequestration due to a number of reforestation projects. In China, a series of ambitious projects aiming to mitigate carbon emissions have been in effect for the last 15 years, including the first Chinese greenhouse gas monitoring satellite mission (TanSat), which is supported by the Ministry of Science and Technology of China, the Chinese Academy of Sciences, and the China Meteorological Administration. The TanSat mission was initiated in 2011 and successfully launched on 22 Dec 2016. TanSat started acquiring and archiving data operationally in March 2017.

TanSat carries two instruments on board: the Atmospheric Carbon Dioxide Grating Spectrometer (ACGS) and the Cloud and Aerosol Polarimetry Imager (CAPI). ACGS is a state‐of‐the‐art hyperspectral grating spectrometer allowing XCO2 retrievals by measuring backscattered sunlight in three NIR/SWIR bands: the oxygen (O2) A‐band (758–778 nm with ~0.04 nm spectral resolution), the weak CO2 band (1,594–1,624 nm with ~0.125 nm spectral resolution), and the strong CO2 band (2042–2082 nm with ~0.16 nm spectral resolution). CO2 column information is largely drawn from the weak CO2 band, which includes a series of strong but unsaturated CO2 lines that respond to even small variations in atmospheric CO2. The O2 A-band hyperspectral measurement contains information on aerosol and cloud scattering both in total scattering amount and scattering vertical distribution. The strong CO2 band provides information on aerosol and cloud scattering at longer wavelengths, in conjunction with information on CO2 and water vapor. The CAPI is a multi‐band imager that provides radiance measurements in five bands (365‐408 nm, 660‐685 nm, 862‐877 nm, 1,360‐1,390 nm, 1,628‐1,654 nm) from UV to NIR. To obtain more information on aerosol size, which has a significant impact on the wavelength dependence of aerosol optical properties, CAPI includes two polarization channels (660‐685 nm and 1,628‐1,654 nm) to measure the Stokes parameters. TanSat flies in a sun‐synchronous low Earth orbit (LEO) with an equator crossing time of around 13:30 local time. The swath width of TanSat measurements is ~18 km across the satellite track and contains nine footprints each with a size of 2 km × 2 km in nadir.

It has been 6 years since TanSat launched and 11 years since the TanSat mission kick-off. This Special Issue will provide an overview of the latest progress and research on TanSat measurement, focusing especially on the satellite and instrument technics, retrieval algorithm, data application, and calibration/validation. TanSat is China’s first carbon satellite providing XCO2 measurement to scientific research on the global carbon cycle. The next generation of the TanSat mission is current in the design phase, whose goal is to support global stocktake and China’s carbon peaking and carbon neutrality goals.

For this Special Issue, “China's First Dedicated Carbon Satellite Mission”, we are inviting contributions on new scientific results covering methods and applications as well as overview papers on topics such as:

  • Measurement technics, incl. satellite and instrument performance;
  • Retrieval algorithm and XCO2 data product;
  • Carbon flux inversion and data assimilation;
  • TanSat data application, e.g., CO2 emission/sink investigation;
  • Val/Cal for TanSat measurement.

Papers that exploit TanSat data application in global and regional carbon monitoring research are especially encouraged. All types of papers are welcome, especially research articles.

Dr. Dongxu Yang
Prof. Dr. Yi Liu
Prof. Dr. Hartmut Boesch
Prof. Daren Lyu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • carbon dioxide
  • satellite remote sensing
  • carbon flux inversion
  • data assimilation
  • retrieval algorithm
  • measurement, verification support (MVS)

Published Papers (3 papers)

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14 pages, 5744 KiB  
Article
CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations
by Minqiang Zhou, Qichen Ni, Zhaonan Cai, Bavo Langerock, Weidong Nan, Yang Yang, Ke Che, Dongxu Yang, Ting Wang, Yi Liu and Pucai Wang
Remote Sens. 2022, 14(15), 3769; https://doi.org/10.3390/rs14153769 - 05 Aug 2022
Cited by 4 | Viewed by 2056
Abstract
Monitoring the atmospheric CO2 columns inside and around a city is of great importance to understand the temporal–spatial variation of XCO2 near strong anthropogenic emissions. In this study, we use two FTIR CO2 column measurements in Beijing (Bruker EM27/SUN) and [...] Read more.
Monitoring the atmospheric CO2 columns inside and around a city is of great importance to understand the temporal–spatial variation of XCO2 near strong anthropogenic emissions. In this study, we use two FTIR CO2 column measurements in Beijing (Bruker EM27/SUN) and Xianghe (Bruker IFS 125HR) between 2019 and 2021 to investigate the differences of XCO2 between Beijing (urban) and Xianghe (suburb) in North China and to validate the OCO-2 and OCO-3 satellite XCO2 retrievals. The mean and standard deviation (std) of the ΔXCO2 between Beijing and Xianghe (Beijing–Xianghe) observed by two FTIR instruments are 0.206 ± 1.736 ppm, which has a seasonal variation and varies with meteorological conditions (wind speed and wind direction). The mean and std of the XCO2 differences between co-located satellite and FTIR measurements are −0.216 ± 1.578 ppm in Beijing and −0.343 ± 1.438 ppm in Xianghe for OCO-2 and 0.637 ± 1.594 ppm in Beijing and 1.206 ± 1.420 ppm in Xianghe for OCO-3. It is found that the OCO-3 snapshot area mode (SAM) measurements can capture the spatial gradient of XCO2 between urban and suburbs well. However, the FTIR measurements indicate that the OCO-3 SAM measurements are about 0.9–1.4 ppm overestimated in Beijing and Xianghe. Full article
(This article belongs to the Special Issue China's First Dedicated Carbon Satellite Mission (TanSat))
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14 pages, 5994 KiB  
Article
On-Orbit Characterization of TanSat Instrument Line Shape Using Observed Solar Spectra
by Zhaonan Cai, Kang Sun, Dongxu Yang, Yi Liu, Lu Yao, Chao Lin and Xiong Liu
Remote Sens. 2022, 14(14), 3334; https://doi.org/10.3390/rs14143334 - 11 Jul 2022
Cited by 3 | Viewed by 1162
Abstract
The Chinese carbon dioxide measurement satellite (TanSat) has collected a large number of measurements in the solar calibration mode. To improve the accuracy of XCO2 retrieval, the Instrument Line Shape (ILS, also known as the slit function) must be accurately determined. In this [...] Read more.
The Chinese carbon dioxide measurement satellite (TanSat) has collected a large number of measurements in the solar calibration mode. To improve the accuracy of XCO2 retrieval, the Instrument Line Shape (ILS, also known as the slit function) must be accurately determined. In this study, we characterized the on-orbit ILS of TanSat by fitting measured solar irradiance from 2017 to 2018 with a well-calibrated high-spectral-resolution solar reference spectrum. We used various advanced analytical functions and the stretch/sharpen of the tabulated preflight ILS to represent the ILS for each wavelength window, footprint, and band. Using super Gaussian+P7 and the stretch/sharpen functions substantially reduced the fitting residual in O2 A-band and weak CO2 band compared with using the preflight ILS. We found that the difference between the derived ILS width and on-ground preflight ILS was up to −3.5% in the weak CO2 band, depending on footprint and wavelength. The large amplitude of the ILS wings, depending on the wavelength, footprint, and bands, indicated possible uncorrected stray light. Broadening ILS wings will cause additive offset (filling-in) on the deep absorption lines of the spectra, which we confirmed using offline bias correction of the solar-induced fluorescence retrieval. We estimated errors due to the imperfect ILS using simulated TanSat spectra. The results of the simulations showed that XCO2 retrieval is sensitive to errors in the ILS, and 4% uncertainty in the full width of half maximum (FWHM) or 20% uncertainty in the ILS wings can induce an error of up to 1 ppm in the XCO2 retrieval. Full article
(This article belongs to the Special Issue China's First Dedicated Carbon Satellite Mission (TanSat))
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13 pages, 1781 KiB  
Technical Note
Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions
by Kai Wu, Dongxu Yang, Yi Liu, Zhaonan Cai, Minqiang Zhou, Liang Feng and Paul I. Palmer
Remote Sens. 2023, 15(20), 4904; https://doi.org/10.3390/rs15204904 - 10 Oct 2023
Cited by 1 | Viewed by 1616
Abstract
TanSat-2, the next-generation Chinese greenhouse gas monitoring satellite for measuring carbon dioxide (CO2), has a new city-scale observing mode. We assess the theoretical capability of TanSat-2 to quantify integrated urban CO2 emissions over the cities of Beijing, Jinan, Los Angeles, [...] Read more.
TanSat-2, the next-generation Chinese greenhouse gas monitoring satellite for measuring carbon dioxide (CO2), has a new city-scale observing mode. We assess the theoretical capability of TanSat-2 to quantify integrated urban CO2 emissions over the cities of Beijing, Jinan, Los Angeles, and Paris. A high-resolution emission inventory and a column-averaged CO2 (XCO2) transport model are used to build an urban CO2 inversion system. We design a series of numerical experiments describing this observing system to evaluate the impacts of sampling patterns and XCO2 measurement errors on inferring urban CO2 emissions. We find that the correction in systematic and random flux errors is correlated with the signal-to-noise ratio of satellite measurements. The reduction in systematic flux errors for the four cities are sizable, but are subject to unbiased satellite sampling and favorable meteorological conditions (i.e., less cloud cover and lower wind speed). The corresponding correction to the random flux error is 19–28%. Even though clear-sky satellite data from TanSat-2 have the potential to reduce flux errors for cities with high CO2 emissions, quantifying urban emissions by satellite-based measurements is subject to additional limitations and uncertainties. Full article
(This article belongs to the Special Issue China's First Dedicated Carbon Satellite Mission (TanSat))
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