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。

欢迎申请硕士、博士生、博士后、科研助理！相关专业包括但不限于计算机、大气科学、环境科学、环境工程、化学、应用数学。提供海外联合培养机会（卡尔斯鲁厄理工学院、海德堡大学、芬兰气象研究中心等）。如有兴趣，请发送简历至tuqiansi@tongji.edu.cn

代表性论文

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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.