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Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO_(2)Retrievals 被引量:3

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摘要 TanSat is China’s first greenhouse gases observing satellite.In recent years,substantial progresses have been achieved on retrieving column-averaged CO_(2)dry air mole fraction(XCO_(2)).However,relatively few attempts have been made to estimate terrestrial net ecosystem exchange(NEE)using TanSat XCO_(2)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 XCO_(2).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 CO_(2)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 CO_(2)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 XCO_(2)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.
出处 《Journal of Remote Sensing》 2022年第1期299-310,共12页 国际遥感学报(英文)
基金 This work is supported by the National Key R&D Program of China(Grant Nos.2016YFA0600204 and SQ2019YFE013078) the National Natural Science Foundation of China(Grant Nos.41807434 and 41907378) the Key Research Program of the Chinese Academy of Sciences(ZDRW-ZS-2019-1) We acknowledge all atmospheric data providers to obspack_co2_1_GLOBALVIEWplus_v6.0_2020-09-11.The TCCON data were obtained from the TCCON Data Archive hosted by CaltechDATA at https://tccondata.org.The CarbonTracker CT2019 results are provided by NOAA ESRL,Boulder,Colorado,USA,from the website at http://carbontracker.noaa.gov We are also grateful to the High-Performance Computing Center(HPCC)of Nanjing University for doing the numerical calculations in this paper on its blade cluster system The TanSat data product service is provided by IRCSD and CASA(131211KYSB20180002).
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