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| 1 | Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite显示文摘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. | Shanshan Du Liangyun Liu Xinjie Liu Xiao Zhang Xingying Zhang Yanmeng Bi Lianchong Zhang | 2018 | Science Bulletin2018，63，22： | 29 |
| 2 | 碳卫星高光谱CO_2探测仪发射前光谱定标显示文摘为了完成碳卫星高光谱CO_2探测仪的发射前光谱定标,建立了光谱定标系统,并对定标系统设计、所采用的自动化数据采集和数据处理算法等进行了研究。根据CO_2探测仪的探测原理介绍了载荷的光谱性能要求,描述了定标系统的设计与所采用的仪器设备,说明了采用自动化数据采集、旋转积分球、功率校正与暗背景校正等改进的定标方法。最后,介绍了光谱定标的数据处理方法。发射前定标结果表明:载荷三个波段的ILS能量集中度分别大于0.80,0.81和0.78;FWHM分别为0.039 2~0.042 4nm,0.123~0.128nm和0.157~0.168nm;光谱采样率区间分别为2.12~2.95、1.97~2.27和1.92~2.26。对发射后实测太阳夫朗禾费光谱进行了评估,结果表明:中心波长偏差小于0.0013,0.058和0.065nm。CO_2探测仪整体的光谱性能指标能够达到系统设计要求。 | 蔺超 李诚良 王龙 毕研盟 郑玉权 | 2017 | 光学精密工程2017，25，8： | 14 |
| 3 | An advanced carbon dioxide retrieval algorithm for satellite measurements and its application to GOSAT observations显示文摘An advanced carbon dioxide retrieval algorithm for satellite observations has been developed at the Institute of Atmospheric Physics, Chinese Academy of Sciences. The algorithm is tested using Greenhouse gases Observing SATellite(GOSAT) L1 B data and validated using the Total Column Carbon Observing Network(TCCON) measurements. The retrieved XCO2 agrees well with TCCON measurements in a low bias of 0.15 ppmv and RMSE of 1.48 ppmv, and captured the seasonal variation and increasing of XCO2 in Northern and Southern Hemisphere, respectively, as other measurements. | Dongxu Yang Yi Liu Zhaonan Cai Jianbo Deng Jing Wang Xi Chen | 2015 | Science Bulletin2015，60，23： | 12 |
| 4 | 中国大气成分卫星遥感的发展与应用显示文摘大气成分(ACs)影响着大气圈与其他圈层的相互作用。卫星遥感的全球观测能力在大气成分监测方面发挥着独一无二的作用。我国从20世纪70年代开始实施风云气象卫星等遥感卫星计划。从1988年第一颗气象卫星发射经过了二十年的探索和积累,2008年风云三号A星的成功发射实现我国自主卫星大气成分探测零的突破。随后,我国成功实施了多个面向大气成分监测的科学探索和业务卫星计划,大大促进了卫星遥感在气溶胶颗粒物、痕量气体和温室气体监测领域的研究与应用。其中,极轨风云三号和静止风云四号两大系列业务卫星搭载的成像仪以及高分五号和大气环境监测卫星等搭载的气溶胶偏振测量仪,分别提供了高空间覆盖和高时间分辨的气溶胶颗粒物观测。风云三号系列业务卫星和高分五号科学试验卫星上搭载的高光谱探测仪实现了多种痕量气体的监测,而中国首颗全球大气二氧化碳科学试验卫星、风云三号D星和高分五号科学试验卫星先后实现了大气二氧化碳柱浓度的全球探测能力。同时,20世纪90年代以来,卫星大气成分遥感的地面真实性检验工作也取得了显著的进展。2022年4月我国刚刚发射成功的大气环境监测卫星,在全球首次搭载有二氧化碳探测的主动激光雷达,这将提供更高精度的大气二氧化碳和气溶胶颗粒物的观测资料,更好服务于我国大气环境治理和“双碳”战略目标。 | 张兴赢 王富 王维和 黄富祥 陈炳龙 高玲 王舒鹏 闫欢欢 叶函函 司福祺 洪津 李小英 曹琼 李正强 | 2022 | 气象科技进展2022，12，5： | 3 |
| 5 | Advancements in theory of GHG observation from space显示文摘As a large developing country,China has the highest level of greenhouse gas(GHG)emissions.The Chinese government is seeking sustainable development and trying to reduce GHG emissions.From the scientific perspective,there | Yi Liu Dongxu Yang | 2016 | Science Bulletin2016，61，5： | 0 |
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