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However, assessments of the atmospheric CO2-detection capabilities of GAS are still incomplete, mainly in the following aspects: previous studies on the spectral range of GAS instruments often used the weak absorption band of CO2 molecules (1.61 \u03bcm); research on the measurement accuracies of different atmospheric environments above oceans is lacking; and most studies considered land surfaces as the bottom boundaries. Here, we simulated high spectral CO2 absorption spectra in both the strong and weak bands (2.06 and 1.61 \u03bcm) while considering the effects of different instrumental (spectral resolution and sampling rate) and environmental (wind speed, visibility, and rough sea surface) parameters. This is the first atmospheric CO2 absorption spectrum study to consider rough-sea-surface effects. The preliminary results show that the root mean squared error (RMSE) and mean absolute difference (MAD) values of the atmospheric CO2 transmittance spectra of GAS are 0.031 and 0.011, respectively, in the 1.61 \u03bcm band and 0.05 and 0.033 in the 2.06 \u03bcm band, revealing that GAS is competitive among similar CO2 instruments. This study provides a design reference for next-generation GAS instruments and contributes to spectral data CO2 processing in the above-sea atmosphere.<\/jats:p>","DOI":"10.3390\/rs14236032","type":"journal-article","created":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T09:09:42Z","timestamp":1669626582000},"page":"6032","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Assessments of the Above-Ocean Atmospheric CO2 Detection Capability of the GAS Instrument Onboard the Next-Generation FengYun-3H Satellite"],"prefix":"10.3390","volume":"14","author":[{"given":"Su","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, 36 Bochubeilu, Hangzhou 310012, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0635-9220","authenticated-orcid":false,"given":"Peng","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, 36 Bochubeilu, Hangzhou 310012, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119, Haibin Rd., Nansha District, Guangzhou 511458, China"}]},{"given":"Lei","family":"Ding","sequence":"additional","affiliation":[{"name":"Key Laboratory of Infrared System Detection and Imaging Technologies, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Delu","family":"Pan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, 36 Bochubeilu, Hangzhou 310012, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119, Haibin Rd., Nansha District, Guangzhou 511458, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"104863","DOI":"10.1016\/j.isci.2022.104863","article-title":"The increasing atmospheric CO2 over India: Comparison to global trends","volume":"25","author":"Kuttippurath","year":"2022","journal-title":"Iscience"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1016\/j.scib.2018.08.004","article-title":"The TanSat mission: Preliminary global observations","volume":"63","author":"Liu","year":"2018","journal-title":"Sci. Bull."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"eaam5782","DOI":"10.1126\/science.aam5782","article-title":"Spaceborne detection of localized carbon dioxide sources","volume":"358","author":"Schwandner","year":"2017","journal-title":"Science"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.222.4623.504","article-title":"Satellite detection of effects due to increased atmospheric carbon dioxide","volume":"222","author":"Kiehl","year":"1983","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"4145","DOI":"10.5194\/acp-10-4145-2010","article-title":"Carbon source\/sink information provided by column CO2 measurements from the Orbiting Carbon Observatory","volume":"10","author":"Baker","year":"2010","journal-title":"Atmos. Chem. Phys."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"eaam5776","DOI":"10.1126\/science.aam5776","article-title":"Influence of El Ni?o on atmospheric CO2 over the tropical Pacific Ocean: Findings from NASA\u2019s OCO-2 mission","volume":"358","author":"Chatterjee","year":"2017","journal-title":"Science"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1038\/ngeo2255","article-title":"Steps for success of OCO-2","volume":"7","author":"Miller","year":"2014","journal-title":"Nat. Geosci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"eaam5747","DOI":"10.1126\/science.aam5747","article-title":"OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence","volume":"358","author":"Sun","year":"2017","journal-title":"Science"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1038\/climate.2009.22","article-title":"NASA\u2019s next challenge","volume":"1","author":"Heffernan","year":"2009","journal-title":"Nat. Clim. Change"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"L14812","DOI":"10.1029\/2011GL047888","article-title":"Toward accurate CO2 and CH4 observations from GOSAT","volume":"38","author":"Butz","year":"2011","journal-title":"Geophys. Res. Lett."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.rse.2012.02.006","article-title":"Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements","volume":"121","author":"Guanter","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"L17706","DOI":"10.1029\/2011GL048738","article-title":"New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity","volume":"38","author":"Frankenberg","year":"2011","journal-title":"Geophys. Res. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"e2020JD032794","DOI":"10.1029\/2020JD032794","article-title":"Toward high precision XCO2 retrievals from TanSat observations: Retrieval improvement and validation against TCCON measurements","volume":"125","author":"Yang","year":"2020","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2022.3172371","article-title":"Retrieval of global carbon dioxide from TanSat satellite and comprehensive validation with TCCON measurements and satellite observations","volume":"60","author":"Hong","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.scib.2019.01.019","article-title":"TanSat: A new star in global carbon monitoring from China","volume":"64","author":"Ran","year":"2019","journal-title":"Sci. Bull."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.rse.2017.05.007","article-title":"Angular dependence of aerosol information content in CAPI\/TanSat observation over land: Effect of polarization and synergy with A-train satellites","volume":"196","author":"Chen","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1007\/s12524-017-0688-4","article-title":"Seasonal and inter-annual variability of atmosphere CO2 based on NOAA Carbon Tracker analysis and satellite observations","volume":"46","author":"Krishnapriya","year":"2018","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zhang, Y., Bai, L., Tao, J., Chen, L., Zou, M., Han, Z., and Wang, Z. (2021). Retrieval of Carbon Dioxide Using Cross-Track Infrared Sounder (CrIS) on S-NPP. Remote Sens., 13.","DOI":"10.3390\/rs13061163"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"6716","DOI":"10.1364\/AO.48.006716","article-title":"Thermal and near infrared sensor for carbon observation Fourier-transform spectrometer on the Greenhouse Gases Observing Satellite for greenhouse gases monitoring","volume":"48","author":"Kuze","year":"2009","journal-title":"Appl. Opt."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"713","DOI":"10.5194\/amt-13-713-2020","article-title":"XCO2 observations using satellite measurements with moderate spectral resolution: Investigation using GOSAT and OCO-2 measurements","volume":"13","author":"Wu","year":"2020","journal-title":"Atmos. Meas. Tech."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wang, Q., Yang, Z.-D., and Bi, Y.-M. (2014, January 13\u201315). Spectral parameters and signal-to-noise ratio requirement for TANSAT hyper spectral sensor to measure atmospheric CO2. Proceedings of the Conference on Remote Sensing of the Atmosphere, Clouds, and Precipitation V, Beijing, China.","DOI":"10.1117\/12.2067572"},{"key":"ref_22","first-page":"353","article-title":"Sensitivity analysis of the satellite infrared hyper-spectral atmospheric sounder GIIRS on FY-4A","volume":"40","author":"Nong","year":"2021","journal-title":"J. Infrared Millim. Waves"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"99","DOI":"10.5194\/amt-5-99-2012","article-title":"The ACOS CO2 retrieval algorithm-Part 1: Description and validation against synthetic observations","volume":"5","author":"Connor","year":"2012","journal-title":"Atmos. Meas. Tech."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"687","DOI":"10.5194\/amt-5-687-2012","article-title":"The ACOS CO2 retrieval algorithm-Part II: Global X CO2 data characterization","volume":"5","author":"Crisp","year":"2012","journal-title":"Atmos. Meas. Tech."},{"key":"ref_25","first-page":"143","article-title":"Channel Selection for Hyper Spectral CO_2 Measurement at the Near-infrared Band","volume":"25","author":"Bi","year":"2014","journal-title":"J. Appl. Meteorolgical Sci."},{"key":"ref_26","unstructured":"Liou, K.N. (1980). An Introduction to Atmospheric Radiation, Elsevier Science (USA). [2nd ed.]."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"6695","DOI":"10.5194\/amt-12-6695-2019","article-title":"Detectability of CO 2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO 2 Monitoring (CO2M) mission","volume":"12","author":"Kuhlmann","year":"2019","journal-title":"Atmos. Meas. Tech."},{"key":"ref_28","unstructured":"Sierk, B., Fernandez, V., B\u00e9zy, J.-L., Meijer, Y., Durand, Y., Courr\u00e8ges-Lacoste, G.B., Pachot, C., L\u00f6scher, A., Nett, H., and Minoglou, K. (April, January 30). The Copernicus CO2M mission for monitoring anthropogenic carbon dioxide emissions from space. Proceedings of the International Conference on Space Optics\u2014ICSO 2020, Oberpfaffenhofen, Germany."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.5194\/amt-12-2341-2019","article-title":"The OCO-3 mission: Measurement objectives and expected performance based on 1 year of simulated data","volume":"12","author":"Eldering","year":"2019","journal-title":"Atmos. Meas. Tech."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"112032","DOI":"10.1016\/j.rse.2020.112032","article-title":"OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals","volume":"251","author":"Taylor","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_31","unstructured":"Stanford, G. (1953). Information Theory, Prentice-Hall."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1485","DOI":"10.1007\/s11434-014-0215-8","article-title":"Effects of spectral sampling rate and range of CO2 absorption bands on XCO2 retrieval from TanSat hyperspectral spectrometer","volume":"59","author":"Liu","year":"2014","journal-title":"Chin. Sci. Bull."},{"key":"ref_33","unstructured":"Bingyan, Z. (2020). Preliminary Research on Optimization of Atmospheric Radiation Transfer Model LBLRTM and Near Space Atmospheric Temperature Inversion. [Master\u2019s Thesis, University of Chinese Academy of Sciences]."},{"key":"ref_34","first-page":"111","article-title":"A fast and efficient line-by-line calculation method for atmospheric absorption","volume":"24","author":"Zhang","year":"2000","journal-title":"Chin. J. Atmos. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"16519","DOI":"10.1029\/95JD01386","article-title":"Line-by-line calculation of atmospheric fluxes and cooling rates: 2. Application to carbon dioxide, ozone, methane, nitrous oxide and the halocarbons","volume":"100","author":"Clough","year":"1995","journal-title":"J. Geophys. Res. -Atmos."},{"key":"ref_36","unstructured":"Clough, S.A., Iacono, M.J., and Moncet, J.-L. (2014). LBLRTM: Line-By-Line Radiative Transfer Model, Astrophysics Source Code Library, The SAO\/NASA Astrophysics Data System (ADS)."},{"key":"ref_37","unstructured":"Kneizys, F.X., Anderson, G.P., Shettle, E.P., Abreu, L.W., Chetwynd, J.H., Selby, J.E.A., Gallery, W.O., and Clough, S.A. (1990, January 1). LOWTRAN 7: Status, review, and impact for short-to-long-wavelength infrared applications. Proceedings of the Advisory Group for Aerospace Research and Development (AGARD), Paris, France."},{"key":"ref_38","unstructured":"Kneizys, F.X., Shettle, E.P., Abreu, L.W., and Chetwynd, J.H. (1988). Users guide to LOWTRAN 7, United States Air Force."},{"key":"ref_39","first-page":"48","article-title":"A Review of Atmospheric Aerosol Model in the LOWTRAN Code","volume":"10","author":"Li","year":"1995","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_40","first-page":"47","article-title":"Study on Satellite Observation Mode and Simulation for Atmospheric CO_2 Remote Sensing Over Ocean","volume":"32","author":"Jiang","year":"2015","journal-title":"Aerosp. Shanghai"},{"key":"ref_41","first-page":"28","article-title":"High Accuracy Solar Glint 2-dimension Pointing Algorithm","volume":"39","author":"Wen","year":"2018","journal-title":"Infrared"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Yin, J., Xu, P., Hou, L., Chen, L., and Cao, Q. (2017, January 12\u201314). Research on Sunglint Point Positioning Accuracy Based on Greenhouse Gas Detector. Proceedings of the International Conference on Mechanical, Material and Aerospace Engineering (2MAE), Beijing, China.","DOI":"10.1051\/matecconf\/201711404014"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1029\/2012JC008221","article-title":"Estimation of the sunglint radiance field from optical satellite imagery over open ocean: Multidirectional approach and polarization aspects","volume":"118","author":"Harmel","year":"2013","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1007\/s10762-006-9087-6","article-title":"Calculation of routh sea surface reflection","volume":"27","author":"Ren","year":"2006","journal-title":"Int. J. Infrared Millim. Waves"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Orji, O.C., Sollner, W., and Gelius, L.J. (2013, January 19). Sea Surface Reflection Coefficient Estimation. Proceedings of the SEG Technical Program Expanded Abstracts, Society of Exploration Geophysicists, Houston, TX, USA.","DOI":"10.1190\/segam2013-0944.1"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Chen, P., Mao, Z., and Pan, D. (2020). Polarization Properties of Reflection and Transmission for Oceanographic Lidar Propagating through Rough Sea Surfaces. Appl. Sci. Basel, 10.","DOI":"10.3390\/app10031030"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1364\/JOSA.44.000838","article-title":"Measurement of the roughness of the sea surface from photographs of the sun\u2019s glitter","volume":"44","author":"Cox","year":"1954","journal-title":"J. Opt. Soc. Am."},{"key":"ref_48","first-page":"198","article-title":"Statistics of the sea surface derived from sun glitter","volume":"13","author":"Cox","year":"1954","journal-title":"J. Mar. Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1109\/TAP.1969.1139516","article-title":"Shadow-corrected electromagnetic scattering from a randomly rough surface","volume":"17","author":"Sancer","year":"1969","journal-title":"Ieee Trans. Antennas Propag."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1109\/TAP.1967.1138991","article-title":"Geometrical shadowing of a random rough surface","volume":"15","author":"Smith","year":"1967","journal-title":"Ieee Trans. Antennas Propag."},{"key":"ref_51","unstructured":"Service, N.M.D.a.I. (2022, September 19). Available online: http:\/\/mds.nmdis.org.cn\/."},{"key":"ref_52","unstructured":"Atmosphere, U.S. (1976). US Standard Atmosphere, National Oceanic and Atmospheric Administration."},{"key":"ref_53","first-page":"183","article-title":"Calculating model for aerosol extinction from visible to far infrared wavelength","volume":"21","author":"Chen","year":"2009","journal-title":"High Power Laser Part. Beams"},{"key":"ref_54","unstructured":"World Meteorological Organization (2022, October 12). Access to World Ocean Database 2005 Geographically Sorted Data, Available online: https:\/\/www.nodc.noaa.gov\/OC5\/WOD05\/data05geo.html."},{"key":"ref_55","unstructured":"(2022, October 12). World Meteorological Organization Squares. Available online: http:\/\/wiki.gis.com\/wiki\/index.php\/World_Meteorological_Organization_squares."},{"key":"ref_56","first-page":"825","article-title":"Review of Radiative Transfer Model in Retrieval of Atmospheric CO2 from Satellite Shortwave Infrared Measurements","volume":"30","author":"Chen","year":"2015","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Junge, C.E. (1958). Atmospheric Chemistry, Academic Press.","DOI":"10.1016\/S0065-2687(08)60484-7"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Nakajima, M., Suto, H., Yotsumoto, K., Shiomi, K., and Hirabayashi, T. (2014, January 7\u201310). Fourier transform spectrometer on GOSAT and GOSAT-2. Proceedings of the International Conference on Space Optics (ICSO), Tenerife, Spain.","DOI":"10.1117\/12.2304062"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/23\/6032\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:28:40Z","timestamp":1760146120000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/23\/6032"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,28]]},"references-count":58,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["rs14236032"],"URL":"https:\/\/doi.org\/10.3390\/rs14236032","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,28]]}}}