| Global significant changes in formaldehyde (HCHO) columns observed from space at the early stage of the COVID‐19 pandemic W Sun, L Zhu, I De Smedt, B Bai, D Pu, Y Chen, L Shu, D Wang, TM Fu, ... Geophysical Research Letters 48 (4), 2e020GL091265, 2021 | 46 | 2021 |
| Response of anthropogenic volatile organic compound emissions to urbanization in Asia probed with TROPOMI and VIIRS satellite observations D Pu, L Zhu, I De Smedt, X Li, W Sun, D Wang, S Liu, J Li, L Shu, Y Chen, ... Geophysical Research Letters 49 (18), e2022GL099470, 2022 | 12 | 2022 |
| Improved ozone simulation in East Asia via assimilating observations from the first geostationary air-quality monitoring satellite: Insights from an Observing System Simulation … L Shu, L Zhu, J Bak, P Zoogman, H Han, X Long, B Bai, S Liu, D Wang, ... Atmospheric Environment 274, 119003, 2022 | 7 | 2022 |
| Underappreciated emission spikes from power plants during heatwaves observed from space: Case studies in India and China S Liu, L Shu, L Zhu, Y Song, W Sun, Y Chen, D Wang, D Pu, X Li, S Sun, ... Earth's Future 12 (2), e2023EF003937, 2024 | 4 | 2024 |
| Observing Downwind Structures of Urban HCHO Plumes From Space: Implications to Non‐Methane Volatile Organic Compound Emissions X Zuo, W Sun, I De Smedt, X Li, S Liu, D Pu, S Sun, J Li, Y Chen, W Fu, ... Geophysical Research Letters 50 (24), e2023GL106062, 2023 | 4 | 2023 |
| Evolution of global O3-NOx-VOCs sensitivity before and after the COVID-19 from the ratio of formaldehyde to NO2 from satellites observations D Wang, D Pu, I De Smedt, L Zhu, X Yang, W Sun, H Xia, Z Song, X Li, ... Journal of Environmental Sciences, 2024 | 1 | 2024 |
| Global temperature dependency of biogenic HCHO columns observed from space: Interpretation of TROPOMI results using GEOS‐Chem model X Li, L Zhu, I De Smedt, W Sun, Y Chen, L Shu, D Wang, S Liu, D Pu, J Li, ... Journal of Geophysical Research: Atmospheres 129 (21), e2024JD041784, 2024 | | 2024 |
| Global retrieval of TROPOMI tropospheric HCHO and NO2 columns with improved consistency based on updated Peking University OMI NO2 algorithm Y Zhang, H Yu, I De Smedt, J Lin, N Theys, M Van Roozendael, G Pinardi, ... Atmospheric Measurement Techniques Discussions 2024, 1-39, 2024 | | 2024 |
| Inferring Surface NO2 Over Western Europe: A Machine Learning Approach With Uncertainty Quantification W Sun, F Tack, L Clarisse, R Schneider, T Stavrakou, M Van Roozendael Journal of Geophysical Research: Atmospheres 129 (20), e2023JD040676, 2024 | | 2024 |
| Global observations of tropospheric bromine monoxide (BrO) columns from TROPOMI Y Chen, S Liu, L Zhu, S Seo, A Richter, X Li, A Ding, W Sun, L Shu, ... Journal of Geophysical Research: Atmospheres 128 (24), e2023JD039091, 2023 | | 2023 |
| Observing downwind structures of urban HCHO plumes in megacities X Zuo, W Sun, I De Smedt, X Li, S Liu, D Pu, S Sun, J Li, Y Chen, W Fu, ... AGU Fall Meeting Abstracts 2023 (2312), A21E-2312, 2023 | | 2023 |
| Inferring near-surface NO2 concentrations for Belgium using multiple machine learning models and TROPOMI data W Sun, F Tack, L Clarisse, R Schneider, M Van Roozendael EGU General Assembly Conference Abstracts, EGU-9674, 2023 | | 2023 |
| Validation and intercomparison of five formaldehyde products from four satellites (TROPOMI, OMI, OMPS-NPP, and OMPS-N20) with FIREX-AQ and WE-CAN aircraft observations over the … S Sun, L Zhu, G Gonzalez Abad, CR Nowlan, Z Ayazpour, I De Smedt, ... AGU Fall Meeting Abstracts 2022, A21B-03, 2022 | | 2022 |
| Inferring High-resolution Near-surface NO2 Concentrations over Belgium through Convolutional Neural Networks W Sun, F Tack, L Clarisse, R Schneider, M Van Roozendael | | 2022 |
| Improved Ozone Simulation in Asia via Assimilating Observations from the First Geostationary Air-quality Monitoring Satellite: Insights from an Observing System Simulation … L Shu, L Zhu, J Bak, P Zoogman, H Han, X Long, B Bai, S Liu, D Wang, ... AGU Fall Meeting Abstracts 2021, A13A-04, 2021 | | 2021 |
| Global Changes in Formaldehyde (HCHO) Columns Observed from Space during the Early Stage of the COVID-19 Pandemic W Sun, L Zhu, D Pu, Y Chen, TM Fu, X Wang, X Yang, I De Smedt AGU Fall Meeting Abstracts 2020, A005-0005, 2020 | | 2020 |
