涂倩思 - 同济大学 - 机械与能源工程学院

个人简介

涂倩思，助理教授，博士生导师，入选上海市人才计划。国际大气环境遥感学会（AERSS）温室气体排放专题专家。主要研究方向是温室气体观测和浓度反演，碳排放估算和数字科学等方面。通过利用地基遥感和卫星遥感技术及机器学习算法研究温室气体时空变化规律，以及区域排放估算模型，相关成果已发表在Atmospheric Measurement Techniques和Atmospheric Chemistry and Physics等大气科学国际知名期刊。教育经历 2015.4 -- 2019.5 卡尔斯鲁厄理工学院博士研究生毕业理学博士学位 2012.10 -- 2014.11 斯图加特大学基础设施规划硕士研究生毕业理学硕士学位 2008.9 -- 2012.7 北京师范大学环境工程大学本科毕业工学学士学位工作经历 2019.5 -- 2021.12 卡尔斯鲁厄理工学院博士后、访问学者

研究领域

温室气体观测和浓度反演，碳排放估算和数字科学等方面

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Estimation of NO 2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique, Atmospheric Measurement Techniques, 2023, 16(8):2237-2262. Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method, Atmospheric Chemistry and Physics, 2022, 22(15): 9747-9765. Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground-and space-based observations of COCCON, TROPOMI and IASI, Atmospheric Chemistry and Physics, 2022, 22(1):295-317. Intercomparison of atmospheric CO2 and CH4 abundances on regional scales in boreal areas using Copernicus Atmosphere Monitoring Service (CAMS) analysis, COllaborative Carbon Column Observing Network (COCCON) spectrometers, and Sentinel-5 Precursor satellite observations, Atmospheric Measurement Techniques, 2020, 13(9): 4751-4771. Intercomparison of arctic XH2O observations from three ground-based Fourier transform infrared networks and application for satellite validation, Atmospheric Measurement Techniques, 2021, 14(3): 1993-2011. Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations, Atmospheric Measurement Techniques, 2022, 15(7): 2199-2229.