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Advances in Atmospheric Sciences 2023年第1期40卷 1-5页

作者： Dongxu YANG Janne HAKKARAINEN Yi LIU Iolanda IALONGO Zhaonan CAI Johanna TAMMINEN Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China Finnish Meteorological Institute Helsinki FI-00560Finland

China’s first carbon dioxide(CO_(2))measurement satellite mission,tansat,was launched in December 2016.This paper introduces the first attempt to detect anthropogenic CO_(2) emission signatures using CO_(2) observations from tansat and NO_(2) measurements from the TROPOspheric Monitoring Instrument(TROPOMI)onboard the Copernicus Sentinel-5 Precursor(S5P)satellite.We focus our analysis on two selected cases in Tangshan,China and Tokyo,Japan.We found that the tansat XCO_(2) measurements have the capability to capture the anthropogenic variations in the plume and have spatial patterns similar to that of the TROPOMI NO_(2) observations.The linear fit between tansat XCO_(2) and TROPOMI NO_(2) indicates the CO_(2)-to-NO_(2) ratio of 0.8×10^(-16) ppm(molec cm^(-2))^(-1) in Tangshan and 2.3×10^(-16) ppm(molec cm^(-2))^(-1) in Tokyo.Our results align with the CO_(2)-to-NOx emission ratios obtained from the EDGAR v6 emission inventory.

关键词： tansat CO_(2) Remote sensing city carbon emission climate change

Retrieval of global terrestrial solar-induced chlorophyll fluorescence from tansat satellite

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Science Bulletin 2018年第22期63卷 1502-1512页

作者： Shanshan Du Liangyun Liu Xinjie Liu Xiao Zhang Xingying Zhang Yanmeng Bi Lianchong Zhang Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100094China University of Chinese Academy of Sciences Beijing 100049China National Satellite Meteorological Center China Meteorological AdministrationBeijing 100081China

The first Chinese Carbon Dioxide Observation Satellite Mission(tansat), which was launched on December 21, 2016, is intended to measure atmospheric CO_2 concentration.The high spectral resolution(0.044 nm) and high SNR(360 at 15.2 mW m^(-1) sr^(-1) nm^(-1)) measurements in the region of the O_2-A band of the Atmospheric Carbon dioxide Grating Spectroradiometer(AGCS) module onboard tansat make it possible to retrieve solar-induced chlorophyll fluorescence(SIF) from tansat observations at the global scale.This paper aims to explore the potential of the tansat data for global SIF retrieval.A singular vector decomposition(SVD) statistical method was employed to retrieve SIF using radiance over a micro spectral window(～2 nm) around the Fe Fraunhofer lines(centered at 758.8 nm).The global SIF at 758.8 nm was successfully retrieved with a low residual error of 0.03 mW m^(-1) sr^(-1) nm^(-1).The results show that the spatial and temporal patterns of the retrieved SIF agree well with the global terrestrial vegetation pattern.The monthly SIF products retrieved from the tansat data were compared with other remote sensing datasets, including OCO-2 SIF, MODIS NDVI, EVI and GPP.The overall consistency between tansat and OCO-2 SIF products(R^2= 0.86) and the consistency of the spatial patterns and temporal variations between the tansat SIF and MODIS vegetation indices and GPP enhance our confidence in the potential and feasibility of tansat data for SIF retrieval.tansat, therefore, provides a new opportunity for global sampling of SIF at fine spatial resolution(2 km × 2 km), thus improving photosynthesis observations from space.

关键词： tansat Solar-induced chlorophyll fluorescence Singular vector decomposition Vegetation index MODIS OCO-2 GPP

基于tansat的中国大陆CO_(2)浓度监测及驱动因子分析

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中国环境科学 2023年第11期43卷 5645-5654页

作者：李凯旋杨丽萍张静任杰王宇长安大学地质工程与测绘学院陕西西安710054

基于2017年3月至2018年3月tansat卫星观测的CO_(2)柱平均干空气混合比(XCO_(2)),利用美国航空航天局(NASA)的轨道碳观测2号(OCO-2)卫星数据与碳同化系统(CT)和总碳柱观测网络(TCCON)地面监测数据,验证了tansat-XCO_(2)的数据精度和可靠... 详细信息

基于2017年3月至2018年3月tansat卫星观测的CO_(2)柱平均干空气混合比(XCO_(2)),利用美国航空航天局(NASA)的轨道碳观测2号(OCO-2)卫星数据与碳同化系统(CT)和总碳柱观测网络(TCCON)地面监测数据,验证了tansat-XCO_(2)的数据精度和可靠性,分析了中国大陆五大区域XCO_(2)的区域特征,采用皮尔逊相关性分析和地理探测器的方法探讨了自然和社会经济因子对大气CO_(2)浓度的驱动作用.结果表明,tansat卫星监测结果与OCO-2卫星监测结果基本一致,差异在(-3~3)×10^(-6)之间.XCO_(2)浓度整体随季节呈规律性波动.夏季我国大气XCO_(2)浓度区域差异明显,南部地区因人为影响较强,XCO_(2)浓度处于较高水平(>403×10^(-6)),北部地区植被的强光合作用使其XCO_(2)浓度(tansat监测结果呈显著线性负相关(r=-0.658,P<0.05).化石燃料燃烧对XCO_(2)空间异质性的解释力最强,其与各自然因子的交互作用远大于单因子的驱动作用,且与降雨量的交互作用对大气XCO_(2)的影响最为显著(q=0.495).

关键词： tansat 精度验证相关性分析地理探测器浓度监测驱动因子分析

tansat: a new star in global carbon monitoring from China

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Science Bulletin 2019年第5期64卷 284-285页

作者： Youhua Ran Xin Li Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Institute of Tibetan Plateau Research Chinese Academy of Sciences Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of Sciences

Accurate monitoring of changes in atmospheric carbon dioxide(C02)coneentration and carbon sinks/sources distribution are an important prerequisite for comprehensively understanding the global carbon cycle and correctly predicting future climate change.Satellite remote sensing is the only method to achieve this monitoring with high resolution.Although spaceborne hyperspectral remote sensing sensors have been successfully applied to monitor the concentration of C02 in the upper troposphere,they are not sensitive to changes in C02 concentrations near the Earth's surface.W让h the rapid development of sensor technology,quantitative remote sensing algorithms,satellites equipped with near-infrared and short-wave infrared hyperspectral sensors dedicated to C02 monitoring have been successively launched.

关键词： tansat a new star in global carbon monitoring China

A Cloud Detection Scheme for the Chinese Carbon Dioxide Observation Satellite(tansat)

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Advances in Atmospheric Sciences 2017年第1期34卷 16-25页

作者： Xi WANG Zheng GUO Yipeng HUANG Hongjie FAN Wanbiao LI Laboratory for Climate and Ocean–Atmosphere Studies Department of Atmospheric and Oceanic SciencesSchool of PhysicsPeking University National Satellite Meteorological Center China Meteorological Administration

Cloud detection is an essential preprocessing step for retrieving carbon dioxide from satellite observations of reflected sunlight. During the pre-launch study of the Chinese Carbon Dioxide Observation Satellite （tansat）, a cloud-screening scheme was presented for the Cloud and Aerosol Polarization Imager （CAPI）, which only performs measurements in five channels located in the visible to near-infrared regions of the spectrum. The scheme for CAPI, based on previous cloud- screening algorithms, defines a method to regroup individual threshold tests for each pixel in a scene according to the derived clear confidence level. This scheme is proven to be more effective for sensors with few channels. The work relies upon the radiance data from the Visible and Infrared Radiometer （VIRR） onboard the Chinese FengYun-3A Polar-orbiting Meteoro- logical Satellite （FY-3A）, which uses four wavebands similar to that of CAPI and can serve as a proxy for its measurements. The scheme has been applied to a number of the VIRR scenes over four target areas （desert, snow, ocean, forest） for all seasons. To assess the screening results, comparisons against the cloud-screening product from MODIS are made. The evaluation suggests that the proposed scheme inherits the advantages of schemes described in previous publications and shows improved cloud-screening results. A seasonal analysis reveals that this scheme provides better performance during warmer seasons, except for observations over oceans, where results are much better in colder seasons.

关键词： tansat CAPI cloud detection regrouping scheme

A New tansat XCO2 Global Product towards Climate Studies

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Advances in Atmospheric Sciences 2021年第1期38卷 8-11页

作者： Dongxu YANG Yi LIU Hartmut BOESCH Lu YAO Antonio DI NOIA Zhaonan CAI Naimeng LU Daren LYU Maohua WANG Jing WANG Zengshan YIN Yuquan ZHENG Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China Earth Observation Science School of Physics and AstronomyUniversity of LeicesterLeicestershire LE17RHUK National Centre for Earth Observation University of LeicesterLeicestershire LE17RHUK National Satellite Meteorological Center China Meteorological Administration Beijing 100081China Shanghai Engineering Center for Microsatellites Shanghai 201210China Changchun Institute of Optics Fine Mechanics and PhysicsChangchun 130033China

The 1st Chinese carbon dioxide(CO2)monitoring satellite mission,tansat,was launched in 2016.The 1st tansat global map of CO2 dry-air mixing ratio(XCO2)measurements over land was released as version 1 data product with an accuracy of 2.11 ppmv(parts per million by volume).In this paper,we introduce a new(version 2)tansat global XCO2 product that is approached by the Institute of Atmospheric Physics Carbon dioxide retrieval Algorithm for Satellite remote sensing(IAPCAS),and the European Space Agency(ESA)Climate Change Initiative plus(CCI+)tansat XCO2 product by University of Leicester Full Physics(UoL-FP)retrieval algorithm.The correction of the measurement spectrum improves the accuracy(−0.08 ppmv)and precision(1.47 ppmv)of the new retrieval,which provides opportunity for further application in global carbon flux studies in the future.Inter-comparison between the two retrievals indicates a good agreement,with a standard deviation of 1.28 ppmv and a bias of−0.35 ppmv.

关键词： tansat CO2 remote sensing carbon flux climate change

基于tansat数据的中国大陆CO浓度监测及驱动因子分析

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中国环境科学 2023年

作者：李凯旋杨丽萍张静任杰王宇长安大学地质工程与测绘学院

为准确获取大气二氧化碳(CO2)浓度的动态变化信息，理解其背后机理，为科学研究和政策制定提供可靠的数据基础，我国自主研发了首颗全球大气CO2观测科学实验卫星(tansat)。本文基于2017年3月至2018年3月tansat卫星观测的CO2柱浓度混合比... 详细信息

为准确获取大气二氧化碳(CO2)浓度的动态变化信息，理解其背后机理，为科学研究和政策制定提供可靠的数据基础，我国自主研发了首颗全球大气CO2观测科学实验卫星(tansat)。本文基于2017年3月至2018年3月tansat卫星观测的CO2柱浓度混合比(XCO2)，利用美国航空航天局(NASA)的轨道碳观测2号(OCO-2)卫星数据与碳同化系统(CT)和总碳柱观测网络(TCCON)地面监测站点数据，验证了tansat-XCO2的数据精度和可靠性，分析了中国大陆五大区域XCO2浓度的区域特征，采用皮尔逊相关性分析和地理探测器的方法探讨了自然和人为因子对大气CO2浓度的驱动作用。结果表明，tansat卫星监测结果与OCO-2卫星监测结果基本一致，XCO2浓度整体随季节呈规律性波动。夏季我国大气XCO2浓度区域差异明显，南部地区因人为影响较强，XCO2浓度处于较高水平，北部地区植被的强光合作用使其XCO2浓度低于其他地区，西部地区XCO2 趋势较其他区域相对平缓。归一化差值植被指数(NDVI)是影响XCO2浓度变化的主要自然因子，NDVI与tansat监测结果呈显著线性负相关(r=-0.658，P<0.05)。化石燃料燃烧对XCO2空间异质性的解释力最强，其与各自然因子的交互作用远大于单因子的驱动作用，且与降雨量的交互作用对大气XCO2的影响最为显著(q=0.495)。

关键词： tansat 精度验证相关性分析地理探测器浓度监测驱动因子分析

The First Global Carbon Dioxide Flux Map Derived from tansat Measurements

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Advances in Atmospheric Sciences 2021年第9期38卷 1433-1443页

作者： Dongxu YANG Yi LIU Liang FENG Jing WANG Lu YAO Zhaonan CAI Sihong ZHU Naimeng LU Daren LYU Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China National Centre for Earth Observation University of EdinburghEdinburghEH93FFUK University of Edinburgh EdinburghEH93FFUK National Satellite Meteorological Center China Meteorological Administration Beijing 100081China

Space-borne measurements of atmospheric greenhouse gas concentrations provide global observation constraints for top-down estimates of surface carbon flux.Here,the first estimates of the global distribution of carbon surface fluxes inferred from dry-air CO_2 column (XCO_2) measurements by the Chinese Global Carbon Dioxide Monitoring Scientific Experimental Satellite (Tan Sat) are presented.An ensemble transform Kalman filter (ETKF) data assimilation system coupled with the GEOS-Chem global chemistry transport model is used to optimally fit model simulations with the Tan Sat XCO_2 observations,which were retrieved using the Institute of Atmospheric Physics Carbon dioxide retrieval Algorithm for Satellite remote sensing (IAPCAS).High posterior error reduction (30%–50%) compared with a priori fluxes indicates that assimilating satellite XCO_2 measurements provides highly effective constraints on global carbon flux estimation.Their impacts are also highlighted by significant spatiotemporal shifts in flux patterns over regions critical to the global carbon budget,such as tropical South America and China.An integrated global land carbon net flux of 6.71±0.76 Gt C yr^(-1) over12 months (May 2017–April 2018) is estimated from the Tan Sat XCO_2 data,which is generally consistent with other inversions based on satellite data,such as the JAXA GOSAT and NASA OCO-2 XCO_2 retrievals.However,discrepancies were found in some regional flux estimates,particularly over the Southern Hemisphere,where there may still be uncorrected bias between satellite measurements due to the lack of independent reference observations.The results of this study provide the groundwork for further studies using current or future Tan Sat XCO_2 data together with other surfacebased and space-borne measurements to quantify biosphere–atmosphere carbon exchange.

关键词： tansat carbon flux CO_2 flux inversion

A New Global Solar-induced Chlorophyll Fluorescence(SIF)Data Product from tansat Measurements

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Advances in Atmospheric Sciences 2021年第3期38卷 341-345页

作者： Lu YAO Dongxu YANG Yi LIU Jing WANG Liangyun LIU Shanshan DU Zhaonan CAI Naimeng LU Daren LYU Maohua WANG Zengshan YIN Yuquan ZHENG Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100094China National Satellite Meteorological Center China Meteorological AdministrationBeijing 100081China Changchun Institute of Optics Fine Mechanics and PhysicsChangchun 130033China Shanghai Engineering Center for Microsatellites Shanghai 201210China

The Chinese Carbon Dioxide Observation Satellite Mission(tansat)is the third satellite for global CO2 monitoring and is capable of detecting weak solar-induced chlorophyll fluorescence(SIF)signals with its advanced technical characteristics.Based on the Institute of Atmospheric Physics Carbon Dioxide Retrieval Algorithm for Satellite Remote Sensing(IAPCAS)platform,we successfully retrieved the tansat global SIF product spanning the period of March 2017 to February 2018 with a physically based algorithm.This paper introduces the new tansat SIF dataset and shows the global seasonal SIF maps.A brief comparison between the IAPCAS tansat SIF product and the data-driven SVD(singular value decomposition)SIF product is also performed for follow-up algorithm optimization.The comparative results show that there are regional biases between the two SIF datasets and the linear correlations between them are above 0.73 for all seasons.The future SIF data product applications and requirements for SIF space observation are discussed.

关键词： tansat solar-induced chlorophyll fluorescence retrieval algorithm remote sensing

LM以及CIA效应对tansat 3个波段吸收光谱的影响

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遥感技术与应用 2014年第5期29卷 771-781页

作者：王婧刘毅张华蔡兆男杨东旭中国气象科学研究院北京100081 中国科学院大气物理研究所中层大气与全球环境探测重点实验室北京100029 中国气象局国家气候中心北京100081

分析了Line Mixing(LM)以及Collision-Induced Absorption(CIA)效应对中国全球二氧化碳监测科学实验卫星(tansat)反演CO2所用的CO2的1.61、2.06μm以及O20.76μm 3个波段气体吸收的影响。LM效应对CO2的1.61、2.06μm气体吸收截面的影响约2%,LM以及CIA效应对O20.76μm波段的影响,在翼部达到75%,在中心区域约2%。LM效应使谱线线型变窄,使谱线中心吸收波数处吸收截面增大,翼部区域吸收截面减小。考虑LM以及CIA效应后,减小采用传统Voigt线型计算截面存在的结构性误差。分析了气体吸收截面以及LM效应随温度、气压的变化情况,LM效应在压强较大以及温度较低时对吸收截面影响较大。最后,在3个波段选择合理的气压、温度以及波数间隔,建立三维吸收截面查找表,在满足计算精度的同时节约时间,满足卫星大量观测反演的需要。

关键词： Line Mixing CIA 吸收截面查找表 tansat