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研究领域


课题组研究方向概述

课题组研究聚焦于大气遥感的两个基础方向:大气辐射传输和大气定量遥感反演。研究工作聚焦于综合利用极轨/静止轨道的红外高光谱提升对于地球大气环境的遥感动态监测能力,包括基于我国新一代风云气象卫星自主研发大气成分反演算法拓展国产卫星在大气环境监测的应用。


代表性著作介绍

[1] 利用碳卫星观测和模型模拟估算城市群二氧化碳排放 (Sheng et al. 2025, RSE)

figuer1.jpg利用碳卫星观测“自上而下”反演人为二氧化碳(CO2)排放量(如左图),为评估区域尺度CO2排放清单提供了一种有效的校验手段。在CO2呈现显著空间变化的大尺度区域,特别在城市群,准确提取人为CO2增强信号并量化CO2排放量仍面临方法上的挑战。本研究提出了一种基于OCO-2碳卫星的二氧化碳柱平均干空气混合比(XCO2)的高精度测量数据,利用观测数据空间自相关特征和局部莫兰指数统计量,精确识别人为排放引起的XCO2升高的新方法。研究结果为大气传输模型模拟(如WRF-Chem)量化人为CO2浓度增强提供可靠的观测数据约束。最后,通过模型敏感性测试和蒙特卡洛模拟的误差分析,进一步实现了人为CO2排放估算及其不确定性的量化分析。卫星观测与模型模拟的人为XCO2增强具有很好的一致性。两者在XCO2增强峰值的大小和位置上存在一定的差异,主要源于先验排放量的不确定性、城市XCO2增量计算误差以及复杂的大气传输过程。

Mengya Sheng, Yun Hou, Hao Song, Xinxin Ye, Liping Lei, Peifeng Ma, and Zhao-Cheng Zeng. Estimating anthropogenic CO2 emissions from China's Yangtze River Delta using OCO-2 observations and WRF-Chem simulations. Remote Sensing of Environment, 2025, 316, 114515. https://doi.org/10.1016/j.rse.2024.114515.

[2]  风云卫星静止轨道红外高光谱的大气一氧化碳反演与分析 (Zeng et al. 202a, AMT)

figure1.jpg        基于地球同步轨道的大气成分遥感监测是当前大气遥感的新兴领域。我国的新一代地球同步轨道气象卫星风云四号所搭载红外大气垂直探测仪(GIIRS)是国际上第一个地球同步轨道的高光谱红外探测器,如图1所示。其热红外高光谱探测精度高,具有精确反演大气成分浓度的巨大潜力。同时,一氧化碳是一种重要的大气污染物,也是化石燃料燃烧和生物质燃烧导致的碳排放的有效示踪气体,可用于追踪定位碳排放源。利用热红外高光谱反演的一氧化碳浓度在监测城市工业生产和极端自然事件(如森林野火等)的排放估算等方面有广泛的应用。

        依据辐射传输原理和最优化估计理论,研究构建了高精度且快速的光谱模拟前向模式和反演算法FY-GeoAIR。该反演方法已经成功应用在了风云四号静止轨道干涉式大气垂直探测仪(FY-4B/GIIRS)的大气一氧化碳反演上。FY-4B/GIIRS是国际首个静止轨道红外高光谱探测仪。研究成果发表于欧洲地球物理学会大气探测技术AMT期刊(Atmospheric Measurement Techniques;Zeng et al., 2023a)。由于该研究实现首次自地球同步轨道监测大气一氧化碳(最重要的污染示踪气体),被AMT期刊精选为亮点文章(Highlight Paper)。该期刊2023年发表的319文章中仅有14篇亮点文章。

Zeng, Z.-C.*, Lee, L., and Qi, C. (2023), Diurnal carbon monoxide observed from a geostationary infrared hyperspectral sounder: first result from GIIRS on board FengYun-4B, Atmospheric Measurement Techniques, 16, 3059–3083, https://doi.org/10.5194/amt-16-3059-2023.

[3] 地球同步轨道的大气氨气和挥发性有机物成分反演与分析 ( Zeng et al., 2023b, AMT; Zeng et al., 2024, JGR)

figure2.png.   利用风云卫星红外高光谱,研究进一步实现了自地球同步轨道监测大气氨气(NH3)和大气挥发性有机物甲酸(HCOOH)浓度的日夜监测。氨气是大气细颗粒物(PM2.5)的重要前体物,也是我国大气氮沉降的主要来源。因此,氨治理是我国应对空气污染和氮沉降两大关键环境挑战的核心。风云卫星FY-4B/GIIRS获取的高时空分辨率数据(时间分辨率2小时)首次突破了极轨卫星观测手段的时间连续性限制,为解析我国大气氨浓度和排放的日变化规律提供前所未有的观测。

    甲酸是地球大气中最丰富的挥发性有机化合物之一,也是大气酸度的重要来源。结合前期的一氧化碳数据,大气甲酸的空间分布展示了东南亚每年春季火灾的巨大排放。这项研究是利用地球静止轨道红外高光谱探测仪监测挥发性有机物的重要的第一步.

Zeng, Z.-C.*, Lee, L., Qi, C., L. Clarisse, and M. Van Damme (2023), Optimal estimation retrieval of tropospheric ammonia from the Geostationary Interferometric Infrared Sounder onboard FengYun-4B, Atmospheric Measurement Techniques, 16, 3693–3713, https://doi.org/10.5194/amt-16-3693-2023.

Zeng, Z.-C.*, B. Franco, L. Clarisse, L. Lee, C. Qi, and F. Lu (2024), Observing a Volatile Organic Compound from a Geostationary Infrared Sounder: HCOOH from FengYun-4B/GIIRS, JGR-Atmosphere, 129, e2024JD041352. https://doi.org/10.1029/2024JD041352.

[4] 风云卫星太阳同步轨道红外高光谱探测仪监测全球一氧化碳浓度 (Zeng et al., 2025)

figure4.png我国风云三号E星(FY-3E)是世界上第一颗黎明-黄昏轨道的民用气象卫星,赤道上空过境时间约为5:30上午/下午。利用风云三号E星上的第二代高光谱红外大气探测仪(FY-3E/HIRAS-II),本研究对全球一氧化碳(CO)进行了反演。利用一氧化碳在红外波段的独特吸收特征,首先开发了一种基于最优估计的反演算法,以反演 FY-3E/HIRAS-II 上的一氧化碳浓度垂直分布。 对四个季节中的一氧化碳浓度反演结果显示了全球野火排放造成的一氧化碳柱浓度的增强量分布。此外,反演结果与模型模拟结果进行了比较,两者显示出良好的一致性。最后,进行了模拟实验,研究热对比度和野火引起的一氧化碳浓度增强的垂直结构对观测灵敏度的影响。结果表明,即使热对比条件不利,在黎明和黄昏时段观测野火诱发的一氧化碳浓度增强也是有效的。这项研究证明了 FY-3E/ HIRAS-II 监测全球一氧化碳的能力,从而揭示了在目前由上午和下午轨道星座进行的全球大气成分观测的基础上增加黎明-黄昏轨道观测的巨大潜力。

Z.-C. Zeng* (2025), Global carbon monoxide and formic acid observed from FY-3E/HIRAS-II in a dawn-dusk sun-synchronous orbit, Journal of Quantitative Spectroscopy and Radiative Transfer, Vol. 333, https://doi.org/10.1016/j.jqsrt.2024.109336.

[5] 洛杉矶超大城市甲烷碳排放的遥感探测 (Zeng et al., 2023, Nature Communications)

Picture3.png

甲烷是一种重要的温室气体,在大气中的寿命相对较短(约 12 年),因此减排将对气候变暖产生迅速影响。在洛杉矶等大城市,天然气泄漏是大气中甲烷的主要来源。天然气逃逸排放的规模和趋势在很大程度上是未知的,需要对其进行量化,以验证是否符合减排目标。在此,我们利用大气遥感数据表明,与观测到的全球甲烷排放量增长相反,洛杉矶地区的排放量在 2011-2020 年间以平均每年 (-1.57 ± 0.41) % 的速度下降。然而,清单数据计算结果却显示出更大的负排放趋势,即-5.8%/年。自上而下和自下而上的趋势之间的巨大差异反映了在估算已实现的减排量时存在不确定性。在洛杉矶采取的行动可以作为 COP28 和未来甲烷减排工作的蓝图。

[1] Zeng, Z.-C.*, T. Pongetti, S. Newman, T. Oda, K. Gurney, P. I. Palmer, Y. L. Yung, and S. P. Sander* (2023), Decadal decrease in Los Angeles methane emissions is much smaller than bottom-up estimates, Nature Communications, 14, 5353, https://doi.org/10.1038/s41467-023-40964-w.
[论文报道:Highlight by Caltech News and Universities Space Research Association News]
a) 
https://www.caltech.edu/about/news/methane-emissions-in-la-are-decreasing-more-slowly-than-previously-estimated
b) https://newsroom.usra.edu/new-study-uncovers-slower-methane-emission-reduction-in-los-angeles-challenging-previous-estimates/


科研项目


科研项目


以主要负责人(Principal Investigator)主持科研项目

[5] 国家自然科学基金,基于地球静止轨道风云卫星红外高光谱观测的大气成分遥感反演,面上项目,2023-2026, 项目状态:在研

[4] 国家自然科学基金,全球温室气体卫星遥感:理论、方法与应用,国家高层次青年人才科学基金项目(海外),2022-, 项目状态:在研

[3] 北京大学学科建设项目,基于红外高光谱的大气成分定量遥感方法研究,2022-2024, 项目状态:已结题

[2] 日本太空发展署(JAXA)/日本环境保护局(NIES)/日本国立环境研究所(MOE), GOSAT 卫星国际合作项目, 批准号2RA-01, 项目名称: Profiling aerosols using oxygen A- band measurements from GOSAT/GOSAT-2, 研究起止年月:2020年7月至2025年7月, 科学研究数据和会议旅费资助, 项目状态:在研

[1] 美国国家航空航天局喷气推进实验室(NASA Jet Propulsion Laboratory), 基础研究项目(Basic Research), 批准号:1658775, 项目名称: Boundary Layer Measurements of Atmospheric Isotopologues of Water Vapor, Carb on Dioxide and Methane, 研究起止年月:2021年3月至2021年12月, 资助总金额:82,940 美元, 项目状态:已结题


参与科研项目

[4] 国家自然科学基金重大项目, 子课题, 物理数据双驱动的遥感卫星数据反演建模,2023-2027,子课题负责人

[3] 科技部重点研发计划项目, 子课题, “数据-机理”融合的统计建模基础 (面向卫星遥感的应用验证) ,2023-3026,子课题负责人

[2] 美国加州大气资源局(California Air Resources Board), 研究发展项目, 批准号: 17RD030, 项目名称: Quantifying Trends in Methane, Nitrous Oxide, and Carbon Monoxide Emissions i n the Los Angeles Basin Using Remote Sensing Spectroscopy at CLARS, 研究起止 年月:2019年3月至2021年2月, 资助总金额: 30万美元, 项目状态:已结题

[1] 香港中文大学, 直拨研究经费(Direct Grant for Research), 批准号: 4052123, 项目名称: Improving Mangrove Species Discrimination with Sophisticated Texture Informat ion using Very High Resolution Optical Satellite Imagery, 研究起止年月:2016年 5月至2017年4月, 资助总金额: 港币79,500, 项目状态:已结题



学术发表


完整论文列表可见:https://www.researchgate.net/profile/Zhao-Cheng-Zeng

 

主要学术论文列表(加粗为课题组成员;*星号代表通讯作者):


2025年:

[5] Liu, S.(刘尚义), et al. + Z.-C. Zeng*, Observing the diurnal cycle of atmospheric ozone from the Geostationary Interferometric Infrared Sounder (GIIRS) on board FengYun-4B, in revision in JGR-Atmosphere.

[4] Hua, J.(华健聪), et al. + Z.-C. Zeng*, Observing volatile organic compounds emitted from Canadian wildfires in 2023 from FengYun-3E/HIRAS-II in a dawn-dusk sun-synchronous orbit, in revision in Remote Sensing of Environment.

[3] Sheng, M.(绳梦雅), Y. Hou, H. Song, X. Ye, L. Lei, P. Ma, and Z.-C. Zeng* (2025), Estimating anthropogenic CO2 emissions from China’s Yangtze River Delta using OCO-2 observations and WRF-Chem simulations, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2024.114515.

[2] Z.-C. Zeng* (2025), Global carbon monoxide and formic acid observed from FY-3E/HIRAS-II in a dawn-dusk sun-synchronous orbit, Journal of Quantitative Spectroscopy and Radiative Transfer, Vol. 333, https://doi.org/10.1016/j.jqsrt.2024.109336. [邀请文章;Elsevier/JQSRT Richard M. Goody 青年科学奖获奖者专刊;专刊网址https://www.sciencedirect.com/special-issue/10LG8W66Z01 ]

[1] Tai-Long He*; Glenn-Michael Oomen*; Wenfu Tang; Idir Bouarar; Kelly Chance; Cathy Clerbaux; David Edwards; Henk Eskes; Benjamin Gaubert; Claire Granier; Marc Guevara; Daniel Jacob; Jennifer Kaiser; Jhoon Kim; Shobha Kondragunta; Xiong Liu; Eloise Marais; Kazuyuki Miyazaki; Rokjin Park; Vincent-Henri Peuch; Gabriele Pfister; Andreas Richter; Trissevgeni Stavrakou; Raid M. Suleiman; Alexander J. Turner; Ben Veilhelmann; Zhao-Cheng Zeng; Guy Brasseur (2025), Challenges and opportunities offered by geostationary space observations for air quality research and emission monitoring, Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-23-0145.1.

2024年:

[6] 华健聪、曾招城* (2024), 沙尘气溶胶散射效应对大气二氧化碳卫星遥感反演误差的影响分析, 遥感学报, 28(10), https://doi.org/10.11834/jrs.20243305 

[5] Zeng, Z.-C.*, B. Franco, L. Clarisse, L. Lee, C. Qi, and F. Lu (2024), Observing a Volatile Organic Compound from a Geostationary Infrared Sounder: HCOOH from FengYun-4B/GIIRS, JGR-Atmosphere, 129, e2024JD041352. https://doi.org/10.1029/2024JD041352.

[4] He, Z., Gao, L., Liang, M., and Zeng, Z.-C.*: A survey of methane point source emissions from coal mines in Shanxi province of China using AHSI on board Gaofen-5B, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-3047, 2023.

[3] Chenxi Feng, Sihe Chen, Zhao-Cheng Zeng, Yangcheng Luo, Vijay Natraj and Yuk L. Yung, Aerosol-Calibrated Matched Filter method for retrievals of methane point source emissions over the Los Angeles Basin, submitted to Earth and Space Sciences.

[2] Feng, C.*, S. Chen, Z.-C. Zeng, Y. Luo, V. Natraj, Y. L. Yung (2024), Aerosol-Calibrated Matched Filter method for retrievals of methane point source emissions over the Los Angeles Basin, Earth and Space Sciences, 11, e2024EA003519. https://doi.org/10.1029/2024EA003519.

[1] Jason Yu, Xun Jiang, Zhao-Cheng Zeng, Yuk L. Yung* (2024), Fire monitoring and detection using brightness-temperature difference and water vapor emission from the atmospheric infrared sounder, Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 317, 108930, https://doi.org/10.1016/j.jqsrt.2024.108930

2023年:

[3] Zeng, Z.-C.*, T. Pongetti, S. Newman, T. Oda, K. Gurney, P. I. Palmer, Y. L. Yung, and S. P. Sander* (2023), Decadal decrease in Los Angeles methane emissions is much smaller than bottom-up estimates, Nature Communications, 14, 5353, https://doi.org/10.1038/s41467-023-40964-w.
论文简介:利用温水气体遥感观测数据揭示了洛杉矶超大城市甲烷排放的多年趋势变化规律。
[Highlight by Caltech News and Universities Space Research Association News]
https://www.caltech.edu/about/news/methane-emissions-in-la-are-decreasing-more-slowly-than-previously-estimated
https://newsroom.usra.edu/new-study-uncovers-slower-methane-emission-reduction-in-los-angeles-challenging-previous-estimates/

[2] Zeng, Z.-C.*, Lee, L., Qi, C., L. Clarisse, and M. Van Damme: Optimal estimation retrieval of tropospheric ammonia from the Geostationary Interferometric Infrared Sounder onboard FengYun-4B, Atmospheric Measurement Techniques, 16, 3693–3713, https://doi.org/10.5194/amt-16-3693-2023, 2023. 论文简介:利用我国新一代气象卫星风云四号(FY-4)所搭载红外大气垂直探测仪(GIIRS)反演亚洲区域的氨气污染物排放。

[1] Zeng, Z.-C.*, Lee, L., and Qi, C.: Diurnal carbon monoxide observed from a geostationary infrared hyperspectral sounder: first result from GIIRS on board FengYun-4B, Atmospheric Measurement Techniques, 16, 3059–3083, https://doi.org/10.5194/amt-16-3059-2023, 2023. [AMT Highlight Paper] 论文简介:我国的新一代气象卫星风云四号(FY-4)所搭载红外大气垂直探测仪(GIIRS)是国际上第一个地球同步轨道的高光谱红外探测器。本数据集是基于自主开发的FY-GeoAIR 反演算法,应用于GIIRS的高光谱红外光谱所生成的首套小时尺度的东亚区域一氧化碳(CO)垂直分布数据。

2022年:

[1] V. Natraj*, R. Spurr, A. Gao, T. Le, Z.-C. Zeng, S. Fan, and Y. L. Yung (2022), The 2 Stream-Exact Single Scattering (2S-ESS) Radiative Transfer Model, Journal of Quantitative Spectroscopy and Radiative Transfer, vol 295, https://doi.org/10.1016/j.jqsrt.2022.108416

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2022年【加入北大之前】:

Zeng, Z.-C.*,O. Addington, T. Pongetti, R. Herman, K. Sung, S. Newman, A. Schneider, T. Borsdorff, Y. L. Yung, and S. P. Sander* (2022), Measurements of atmospheric HDO/H2O in southern California from CLARS-FTS observations, Journal of Quantitative Spectroscopy and Radiative Transferhttps://doi.org/10.1016/j.jqsrt.2022.108254论文简介:利用超高光谱遥感观测反演了南加州超大城市的多年水汽同位素。这是首个城市尺度的长时间序列的水汽同位素数据。数据共享网址:[CaltechDATA] https://doi.org/10.22002/D1.1920

Chen, S.*, V Natraj, Zeng, Z.-C., and Yung, Y. L. (2021). Machine learning-based aerosol characterization using oco-2 o2 a-band observations, Journal of Quantitative Spectroscopy and Radiative Transferhttps://doi.org/10.1016/j.jqsrt.2021.108049

Wang, H., F.-Y. Gong, S. Newman, and Z.-C. Zeng* (2022), Consistent weekly cycles of atmospheric NO2, CO, and CO2 in a North American megacity from ground-based, mountaintop, and satellite measurements, Atmospheric Environmenthttps://doi.org/10.1016/j.atmosenv.2021.118809论文简介:利用卫星数据分析了超大城市洛杉矶的污染气体和温室气体的周变化,并首次直接利用OCO-2卫星数据量化了城市的二氧化碳的周变化。

2021年:

Zeng, Z.-C.*, B. Byrne*, F.-Y. Gong , Z. He , L. Lei (2021), Correlation between paddy rice growth and satellite-observed methane column abundance does not imply causation, Nature Communication, https://doi.org/10.1038/s41467-021-21434-7.

Zeng, Z.-C. and S. P. Sander (2021), Quantifying Trends in Methane, Nitrous Oxide, and Carbon Monoxide Emissions in the Los Angeles Basin Using Remote Sensing Spectroscopy at CLARS: Final Report, California Air Resources Board, Project summary: https://www.arb.ca.gov/research/single-project.php?row_id=68807; Final report available at https://ww2.arb.ca.gov/sites/default/files/2021-07/17RD030.pdf

Zeng, Z.-C.*, V. Natraj, F. Xu, S.Chen, F.-Y. Gong, T. Pongetti, K. Sung, G. Toon, S. P. Sander, and Y. L. Yung (2021), GFIT3: A full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols, Atmospheric Measurement Techniques, https://doi.org/10.5194/amt-14-6483-2021, 2021.

O. Addington*, Z.-C. Zeng, T. Pongetti, R.-L. Shia, Y. L. Yung, and S. P. Sander* (2021), Estimating Nitrous Oxide (N2O) Emissions for the Los Angeles Megacity using CLARS-FTS observations, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2021.112351.

Campbell, Elliott and Fisher, Joshua and Kuai, Le and Yung, Yuk L. and Baker, Ian and Berry, Joe and Bowman, Kevin and Commane, Róisín and Frankenberg, Christian and Liu, Junjie and Magney, Troy and Marshall, Julia and Miller, Charles E. and Noone, David and Parazoo, Nicholas and Ryu, Youngryel and Saleska, Scott and Schimel, David and Seibt, Ulrike and Stinecipher, James and Sun, Wu and Sun, Ying and Toon, Geoffrey and Wang, Yutang and Wennberg, Paul and Whelan, Mary E. and Worden, John and Zeng, Zhao-Cheng (2021) Detecting Climate-Carbon Feedbacks: Next-Generation Approach for Space-Based Integration of OCS, CO₂, and SIF. , Pasadena, CA.  https://resolver.caltech.edu/CaltechAUTHORS:20210813-163903875

Natraj, V.*, M. Luo, J.-F. Blavier, V. Payne, J. Neu, Z.-C. Zeng, S. Kulawik, L. Wu, J. Roman, D. Posselt, S. Sander, Y.-H. Wu, L. Dorsky (2021), Simulated Multispectral Temperature and Atmospheric Composition Retrievals for the GEO-IR Sounder, Atmospheric Measurement Techniques, https://doi.org/10.5194/amt-15-1251-2022.

Jongaramrungruang, S.*, G. Matheou, A. K. Thorpe, Z.-C. Zeng, and C. Frankenberg (2021), Remote sensing of methane plumes: instrument tradeoff analysis for detecting and quantifying local sources at global scale, Atmospheric Measurement Techniques, https://doi.org/10.5194/amt-2021-205.

Joshua L. Laughner*, Jessica L. Neu, David Schmiel, Paul O. Wennberg, Kelley Barsanti, Kevin Bowman, Abhishek Chatterjee, Bart Croes, Helen Fitzmauric, Daven Henze, Jinsol Kim, Eric Kort, Zhu Liu, Kazuyuki Miyazaki, Alexander J. Turner, Susan Anenberg, Jeremy Avise, Hansen Cao, David Crisp, Joost de Gouw, Annmarie Eldering, John Fyfe, Dan Goldberg, Sina Hasheminassab, Francesca Hopkin, Cesunica E. Ivey, Nicole S. Lovenduski, Randall V. Martin, Galen A. McKinley, Leslie Ott, Benjamin Poulter, Muye Ru, Stanley P. Sander, Neil Swart, Yuk L. Yung, Zhao-Cheng Zeng, and the rest of the Keck Institute for Space Studies “COVID-19: Identifying Unique Opportunities for Earth System Science” study team (2021), Societal shifts due to COVID-19 reveal large-scale complexities and feedbacks between atmospheric chemistry and climate change, Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2021,118(46),e2109481118, https://doi.org/10.1073/pnas.2109481118.


2020年:

Zeng, Z.-C.*, Y. Wang, T. Pongetti, F.-Y. Gong, S. Newman, Y. Li, V. Natraj, R.-L. Shia, Yuk L. Yung, and Stanley P. Sander (2020), Tracking the Atmospheric Pulse of a North American Megacity from a Mountaintop Remote Sensing Observatory, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2020.112000.

Zeng, Z.-C*., S. Chen#, V. Natraj, T. Le, F. Xu, A. Merrelli, D. Crisp, S. P. Sander, and Y. L. Yung (2020), Constraining the vertical distribution of coastal dust aerosol using OCO-2 O2 A-band measurements, Remote Sensing of Environment, http://doi.org/10.1016/j.rse.2019.111494.

Zeng, Z.-C.*, F. Xu, V. Natraj, T. J. Pongetti, R.-L. Shia, Q. Zhang, S. P. Sander, and Y. L. Yung (2020), Remote sensing of angular-dependent scattering of aerosols in a North American megacity, Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2020.111760.

Rooney, B., Wang, Y., Jiang, J. H., Zhao, B., Zeng, Z.-C., and Seinfeld, J. H. (2020), Air Quality Impact of the Northern California Camp Fire of November 2018, Atmospheric Chemistry and Physics, https://doi.org/10.5194/acp-20-14597-2020.

Y. Huang, V. Natraj, Z.-C. Zeng, P. Kopparla, and Y. L. Yung (2020), Quantifying the impact of aerosol scattering on the retrieval of methane from airborne remote sensing measurements, Atmospheric Measurement Techniques, https://doi.org/10.5194/amt-13-6755-2020.


2019年及之前:

He, L., Z.-C. Zeng, T. J. Pongetti, C. Wong, J. Liang, K. Gurney, S. Newman, V. Yadav, K. Verhulst, C. Miller, R. Duren, C. Frankenberg, P. O. Wennberg, R.-L. Shia, Y. L. Yung and S. P. Sander* (2019), Atmospheric methane emissions correlate with natural gas consumption from residential and commercial sectors in Los Angeles, Geophysical Research Letters, https://doi.org/10.1029/2019GL083400.

Toon, G.*, C. C. Liebe, B. Nemati, I. Harris, A. Kleinböhl, M. Allen, V. Hipkin, J. Drummond, M.-A. Soucy, Y. L. Yung, Z.-C. Zeng, D. Wunch, P. Wennberg (2018), Solar Occultation FTIR spectrometry at Mars: A Sensitivity Study, AGU: Earth and Space Science, https://doi.org/10.1029/2018EA000469

Zeng, Z.-C.*, V. Natraj, F. Xu, T. J. Pongetti, R.-L. Shia, E. A. Kort, G. C. Toon, S. P. Sander, and Y. L. Yung (2018), Constraining Aerosol Vertical Profile in the Boundary Layer Using Hyperspectral Measurements of Oxygen Absorption. Geophysical Research Letters, https://doi.org/10.1029/2018GL079286.

Bie, N., Lei, L.*, Z.-C. Zeng, Cai, B., Yang, S., He, Z., Wu, C., and Nassar, R. (2018). Regional uncertainty of GOSAT XCO2 retrievals in China: Quantification and attribution, Atmospheric Measurement Techniques, https://doi.org/10.5194/amt-2017-237.

Zeng, Z.-C*., Q. Zhang, V. Natraj, J. Margolis, R.-L. Shia, S. Newman, D. Fu, T. J. Pongetti, K. W. Wong, S. P. Sander, P. O. Wennberg, and Y. L. Yung (2017), Aerosol Scattering Effects on Water Vapor Retrievals over the Los Angeles Basin, Atmospheric Chemistry and Physics, https://doi.org/10.5194/acp-2016-490.

Zeng, Z.-C.*, L. Lei, K. Strong, D. B. A. Jones, L. Guo, M. Liu, F. Deng, N. M. Deutscher, M. K. Dubey, D. W. T. Griffith, F. Hase, B. Henderson, R. Kivi, R. Lindenmaier, I. Morino, J. Notholt, H. Ohyama, C. Petri, R. Sussmann, V. Velazco, P. O. Wennberg, and H. Lin (2017), Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics, International Journal of Digital Earth, 10(4), 426-456, https://doi.org/10.1080/17538947.2016.1156777.

Byrne, B.*, D. Jones, K. Strong, Z.-C. Zeng, F. Deng, and J. Liu (2017), Sensitivity of CO2 Surface Flux Constraints to Observational Coverage, Journal of Geophysical Research-Atmosphere, https://doi.org/ 10.1002/2016JD026164.

Liu, M., L. Lei, D. Liu, and Z.-C. Zeng* (2016), Geo-Statistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations, Remote Sensing, 8(5), 361, https://doi.org/10.3390/rs8050361.

Zeng, Z.-C., L. Lei*, S. Hou, F. Ru, X. Guan, and B. Zhang (2014), A Regional Gap-Filling Method Based on Spatio-temporal Variogram Model of CO2 Columns, IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 5, https://doi.org/10.1109/TGRS.2013.2273807.

Zeng, Z.-C., L. Lei*, L. Guo, L. Zhang, and B. Zhang (2013), Incorporating Temporal Variability to Improve Geostatistical Analysis of Satellite-Observed CO2 in China, Chinese Science Bulletin, Vol. 58, No. 16, https://doi.org/10.1007/s11434-012-5652-7.



学术活动

邀请学术报告:

[10] EGU 2025 Session AS3.27 invited speaker, Observing volcanic SO2 from a constellation of FengYun hyperspectral infrared sounders, Invited by session chairs of “AS3.27 – Satellite observations of tropospheric composition and pollution, analyses with models and applications” EGU, Vienna, 2025

[9] AGU Atmospheric Science Early Career Webinar, Tracking CO, NH3, and VOCs over Asia from the world's first geostationary hyperspectral infrared sounder, 2024

[8] Environment and Climate Change Canada, AQRD Seminar, Observing Tropospheric CO and NH3 from the Geostationary Interferometric Infrared Sounder (GIIRS) onboard FengYun satellite, Online, June 15, 2023. Host: Drs. Debora Griffin and Xiaoyi Zhao

[7] 清华大学地球系统科学系,地球同步轨道风云四号卫星的大气成分遥感监测, 2022年 [https://www.dess.tsinghua.edu.cn/info/1176/5734.htm]

[6] 北京大学物理学院大气与海洋科学系, 地球同步轨道的大气成分遥感监测: 我国风云四号卫星的应用潜力初探, 2022年[https://www.atmos.pku.edu.cn/kxzb/xzbg/dqyhykxlt/144093.htm]

[5] 香港中文大学, Remote sensing of urban carbon emissions from mountain-top and geostationary platforms, 2022年 [https://mp.weixin.qq.com/s/_MxS_gqxl7sZPh8x9kFwrA]

[4] Measurements of atmospheric HDO/H2O in southern California from CLARS-FTS. NASA-JPL Tropospheric Composition Group Meeting. March 08, 2021.

[3] Observation constrained methane emissions in Los Angeles in the 2010s. Caltech GPS Lunch Seminar. March 24, 2020. http://web.gps.caltech.edu/seminars/yly_seminar/

[2] Reduction and recovery of carbon monoxide enhancement in Los Angeles during COVID-19, Caltech 2020 KISS Virtual Workshop “COVID-19: Identifying Unique Opportunities for Earth System Science”. April-December, 2020.

[1] Next-Generation Approach for Detecting Climate-Carbon Feedbacks: Space-Based Integration of Carbonyl Sulfide (OCS), CO2, and Solar Induced Fluorescence (SIF), September 18-22, 2017, California Institute of Technology, http://kiss.caltech.edu/workshops/OCS/OCS.html#List

[5] Aerosol scattering properties over the LA basin inferred from CLARS-FTS, Caltech GPS Lunch Seminar, 30 May 2017, http://web.gps.caltech.edu/seminars/yly_seminar/past/2017.htm


学术及社会任职

[1] Member of UCLA JIFRESSE Summer Intern Program (JSIP) Committee, 2020-2021.

[2] AGU 2020 Session Convener: Advances in observation to constrain aerosol radiative forcing with Prof. Jing Li and Prof. Yuk L. Yung

URL: https://agu.confex.com/agu/fm20/webprogrampreliminary/Session103033.html

[3] Review Editor & Guest Associate Editor (Editorial Board) for Frontier in Remote Sensing

URL: https://www.frontiersin.org/

[4] Guest Editor for Remote Sensing special issue: Remote Sensing of Air Pollutants and Carbon Emissions in Megacities (April 2020 – May 2021)

URL: https://www.mdpi.com/journal/remotesensing/special_issues/Pollutants_Megacities