Environmental Modeling

The long-term plan of the Environmental Modeling Group is to develop integrated modeling approaches that combine approaches from different disciplines and address societally important environmental questions associated with human development. Questions of large importance, perhaps exacerbated by climate change, population growth, urbanisation, industrialisation and intensive agricultural practices, are addressed by the group. An important priority is to assess the impact of urbanisation on the regional and global environment.

A first task is to improve our ability to predict regional air pollution, specifically in Asia, South America and Africa. The development of comprehensive tools for the analysis and prediction of air quality can help decision-makers to take science-informed action to reduce chemical emissions, specifically in industrialized and urbanized regions. The Environmental Modeling Group will contribute to the development of such integrated modeling systems that base their predictions on assimilated satellite observations (initial conditions), updated emission inventories, chemical and microphysical transformations, multi-scale transport processes, and surface deposition.

The next generation models will account for the interactive processes between meteorology, gas phase chemistry and aerosol microphysics. Transport of chemical species across scales will be treated by global models that have unstructured grids and zooming capability to provide high-resolution information in specific regions. Applications of such models will be made in regions of complex topography such as the Andes in South America. Pre-operational modeling systems will be developed for applications in Asia, in South America and Africa. A better quantification of the influence of small-scale turbulence on the rate of reactions between pollutants, specifically in urban areas, where emissions are very heterogeneous and the small-scale dynamics very complex, will be performed.

Projects

AIR-CHANGES

(Air pollution in China and the undesired effects of mitigation strategies: Understanding why ozone is increasing in response to air pollution mitigation strategies)

Air-Changes is a joint project of the group with Chinese institutes. The objective of this project is to assess the effectiveness of the pollution control strategies that have been implemented in China since the twelfth Five-Year-Plan (FYP) and specifically to assess the chemical, physical, and meteorological factors that have contributed to the observed ozone increase in the most populated regions in China. The study will adopt a synergistic methodology engaging surface and satellite observations of pollutants together with state-of-the-art regional and global model simulations. Effective science-informed ozone mitigation strategies tailored to the populated areas of China will be proposed based on future scenarios of chemical emissions. This project has received funding from DFG. (Guy Brasseur, Jianing Dai)

Klimapolis Laboratory

The development of sustainable cities in a climate-smart and air-quality friendly environment requires new knowledge in an interdisciplinary perspective. To address these questions, the Environmental Modeling  Group of the Max Planck Institute for Meteorology has established in 2018 a Joint Labaratory on Urban Climate, Water and Air Pollution (Klimapolis Laboratory) in  cooperation with German and Brazilian partners including the Institute of Astronomy, Geophysics and Atmospheric Sciences of the University of Sao Paulo (IAG / USP). The activities of the Klimapolis Laboratory are financed by the German Federal Ministry of Education and Research (BMBF) for a period of five years (2017 to 2022). The Klimapolis Laboratory is developing a joint Brazilian German transdisciplinary research program that, through sustained dialogues with different stakeholders, environmental literacy and social learning, will contribute to the development of environmentally resilient cities in Brazil. The Laboratory will have special focus on the relation between climate, water and air pollution and societal actors, and will co-design with city officials and other urban actors approaches towards the development of sustained cities and improved governance structures. (Guy Brasseur, Diego Arruda)

Project website

PAPILA (Prediction of Air Pollution in Latin America and the Caribbean)

The overall objective of the PAPILA project is to establish a sustained network of partners with complementary expertise that develops and implements an analysis and forecast system for air quality with downscaling capability for Latin America and the Caribbean region (LAC region), and to assess the impact of air pollution (background and peaks) on health and on the economy. This system will help decision-makers improve air quality and public health, and avoid the occurrence of acute air pollution episodes, particularly in urban areas. The project, initiated by the Environmental Group at the Max Planck Institute for Meteorology, is strictly about mobility and staff exchange (secondments) within the consortium, funded under grant agreement 777544 of the EU Marie Skłodowska-Curie Actions (MSCA) for Research and Innovation Staff Exchange (RISE). PAPILA has 9 European partners and 9 associated partners from South America and Caribbean countries, and ran from 2018 until 2021. (Guy Brasseur, Idir Bouarar)

Project website

Group members and publications

Name
Email
Position
phone
Room
Group Leader
S 02.08
Student Helper
S 2.07
  • Deroubaix, A., Hoelzemann, J., Ynoue, R., Toledo de Almeida Albuquerque, T., Alves, R., de Fatima Andrade, M., Andreão, W., Bouarar, I., de Souza Fernandes Duarte, E., Elbern, H., Franke, P., Lange, A., Lichtig, P., Lugon, L., Martins, L., de Arruda Moreira, G., Pedruzzi, R., Rosario, N. & Brasseur, G. (2024). Intercomparison of air quality models in a megacity: toward an operational ensemble forecasting system for São Paulo. Journal of Geophysical Research: Atmospheres, 129: e2022JD038179. doi:10.1029/2022JD038179 [publisher-version]
  • He, C., Kumar, R., Tang, W., Pfister, G., Xu, Y., Qian, Y. & Brasseur, G. (2024). Air pollution interactions with weather and climate extremes: Current knowledge, gaps, and future directions. Current Pollution Reports. doi:10.1007/s40726-024-00296-9
  • Stevens, B., Adami, S., Ali, T., Anzt, H., Aslan, Z., Attinger, S., Bäck, J., Baehr, J., Bauer, P., Bernier, N., Bishop, B., Bockelmann, H., Bony, S., Bouchet, V., Brasseur, G., Bresch, D., Breyer, S., Brunet, G., Buttigieg, P., Cao, J., Castet, C., Cheng, Y., Dey Choudhury, A., Coen, D., Crewell, S., Dabholkar, A., Dai, Q., Doblas-Reyes, F., Durran, D., El Gaidi, A., Ewen, C., Exarchou, E., Eyring, V., Falkinhoff, F., Farrell, D., Forster, P., Frassoni, A., Frauen, C., Fuhrer, O., Gani, S., Gerber, E., Goldfarb, D., Grieger, J., Gruber, N., Hazeleger, W., Herken, R., Hewitt, C., Hoefler, T., Hsu, H.-H., Jacob, D., Jahn, A., Jakob, C., Jung, T., Kadow, C., Kang, I.-S., Kang, S., Kashinath, K., Kleinen-von Königslöw, K., Klocke, D., Kloenne, U., Klöwer, M., Kodama, C., Kollet, S., Kölling, T., Kontkanen, J., Kopp, S., Koran, M., Kulmala, M., Lappalainen, H., Latifi, F., Lawrence, B., Lee, J., Lejeun, Q., Lessig, C., Li, C., Lippert, T., Luterbacher, J., Manninen, P., Marotzke, J., Matsouoka, S., Merchant, C., Messmer, P., Michel, G., Michielsen, K., Miyakawa, T., Müller, J., Munir, R., Narayanasetti, S., Ndiaye, O., Nobre, C., Oberg, A., Oki, R., Özkan-Haller, T., Palmer, T., Posey, S., Prein, A., Primus, O., Pritchard, M., Pullen, J., Putrasahan, D., Quaas, J., Raghavan, K., Ramaswamy, V., Rapp, M., Rauser, F., Reichstein, M., Revi, A., Saluja, S., Satoh, M., Schemann, V., Schemm, S., Schnadt Poberaj, C., Schulthess, T., Senior, C., Shukla, J., Singh, M., Slingo, J., Sobel, A., Solman, S., Spitzer, J., Stammer, D., Stier, P., Stocker, T., Strock, S., Su, H., Taalas, P., Taylor, J., Tegtmeier, S., Teutsch, G., Tompkins, A., Ulbrich, U., Vidale, P.-L., Wu, C.-M., Xu, H., Zaki, N., Zanna, L., Zhou, T. & Ziemen, F. (in press). Earth Virtualization Engines (EVE). Earth System Science Data. doi:10.5194/essd-2023-376
  • Swain, B., Vountas, M., Deroubaix, A., Lelli, L., Ziegler, Y., Jafariserajehlou, S., Gunthe, S., Herber, A., Ritter, C., Bösch, H. & Burrows, J. (2024). Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations. Atmospheric Measurement Techniques, 17, 359-375. doi:10.5194/amt-17-359-2024 [publisher-version]
  • Wang, Y., Ma, Y.-F., Li, C., Wang, T. & Brasseur, G. (2024). Role of turbulence in ozone chemistry: Segregation effect implicated from multiscale modeling over Hong Kong. Atmospheric Environment, 325: 120443. doi:10.1016/j.atmosenv.2024.120443
  • Yao, L., Liu, C.-H., Brasseur, G. & Chao, C. (2024). Turbulent flow modification in the atmospheric surface layer over a dense city. Science of the Total Environment, 909: 168315. doi:10.1016/j.scitotenv.2023.168315
  • Betancourt, C., Li, C., Kleinert, F. & Schultz, M. (2023). Graph machine learning for improved imputation of missing tropospheric ozone data. Environmental Science & Technology, 57, 18246-18258. doi:10.1021/acs.est.3c05104 [publisher-version]
  • Brasseur, G., Barth, M., Kazil, J., Patton, E. & Wang, Y. (2023). Segregation of fast-reactive species in atmospheric turbulent flow. Atmosphere, 14: 1136. doi:10.3390/atmos14071136 [publisher-version]
  • Dai, J., Brasseur, G., Vrekoussis, M., Kanakidou, M., Qu, K., Zhang, Y., Zhang, H. & Wang, T. (2023). The atmospheric oxidizing capacity in China-Part 1: Roles of different photochemical processes. Atmospheric Chemistry and Physics, 23, 14127-14158. doi:10.5194/acp-23-14127-2023 [publisher-version][supplementary-material]
  • Delbeke, L., Wang, C., Tulet, P., Denjean, C., Zouzoua, M., Maury, N. & Deroubaix, A. (2023). The impact of aerosols on stratiform clouds over southern West Africa: A large-eddy-simulation study. Atmospheric Chemistry and Physics, 23, 13329-13354. doi:10.5194/acp-23-13329-2023 [publisher-version]
  • Ghosh, A., Rakshit, S., Tikle, S., Das, S., Chatterjee, U., Pande, C., Alataway, A., Al-Othman, A., Dewidar, A. & Mattar, M. (2023). Integration of GIS and remote sensing with RUSLE model for estimation of soil erosion. Land, 12: 116. doi:10.3390/land12010116 [publisher-version]
  • Jiang , M., Li, Y., Hu, W., Yang, Y., Brasseur, G. & Zhao, X. (2023). Model-based insights into aerosol perturbation on pristine continental convective precipitation. Atmospheric Chemistry and Physics, 23, 4545-4557. doi:10.5194/acp-23-4545-2023 [publisher-version]
  • Li, C., Walters, S., Mueller, J.-F., Orlando, J. & Brasseur, G. (2023). Contamination of tea leaves by anthraquinone: The atmosphere as a possible source. Ambio, 52, 1373-1388. doi:10.1007/s13280-023-01858-9 [publisher-version][supplementary-material]
  • Liu, Y., Liu, C.-H., Brasseur, G. & Chao, C. (2023). Proper orthogonal decomposition of large-eddy simulation data over real urban morphology. Sustainable Cities and Society, 89: 104324. doi:10.1016/j.scs.2022.104324
  • Liu, Y., Liu, C.-H., Brasseur, G. & Chao, C. (2023). Empirical mode decomposition of the atmospheric flows and pollutant transport over real urban morphology. Environmental Pollution, 331: 121858. doi:10.1016/j.envpol.2023.121858
  • Liu, Y., Liu, C.-H., Brasseur, G. & Chao, C. (2023). Amplitude modulation of velocity fluctuations in the atmospheric flows over real urban morphology. Physics of Fluids, 35: 025116. doi:10.1063/5.0135475 [publisher-version]
  • Liu, Y., Liu, C.-H., Brasseur, G. & Chao, C. (2023). Wavelet analysis of the atmospheric flows over real urban morphology. Science of the Total Environment, 859: 160209. doi:10.1016/j.scitotenv.2022.160209
  • Ortega, I., Gaubert, B., Hannigan, J., Brasseur, G., Worden, H., Blumenstock, T., Fu, H., Hase, F., Jeseck, P., Jones, N., Liu, C., Mahieu, E., Morino, I., Murata, I., Notholt, J., Palm, M., Röhling, A., Té, Y., Strong, K., Sun, Y. & Yamanouchi, S. (2023). Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability. Elementa: Science of the Anthropocene, 11: 11. doi:10.1525/elementa.2023.00015 [publisher-version][supplementary-material]
  • Ouyang, H., Tang, X., Zhang, R., Baklanov, A., Brasseur, G., Kumar, R., Han, Q. & Luo, Y. (2023). Resilience building and collaborative governance for climate change adaptation in response to a new state of more frequent and intense extreme weather events. International Journal of Disaster Risk Science, 14, 162-169. doi:10.1007/s13753-023-00467-0 [publisher-version]
  • Qu, K., Wang, X., Cai, X., Yan, Y., Jin, X., Vrekoussis, M., Kanakidou, M., Brasseur, G., Shen, J., Xiao, T., Zeng, L. & Zhang, Y. (2023). Rethinking the role of transport and photochemistry in regional ozone pollution: insights from ozone concentration and mass budgets. Atmospheric Chemistry and Physics, 23, 7653-7671. doi:10.5194/acp-23-7653-2023 [publisher-version][supplementary-material]
  • Wang, Y., Ma, Y.-F., Muñoz-Esparza, D., Dai, J., Li, C., Lichtig, P., Tsang, R.-W., Liu, C.-H., Wang, T. & Brasseur, G. (2023). Coupled mesoscale-microscale modeling of air quality in a polluted city using WRF-LES-Chem. Atmospheric Chemistry and Physics, 23, 5905-5927. doi:10.5194/acp-23-5905-2023 [publisher-version][supplementary-material]
  • Wang, Y., Brasseur, G., Ma, Y.-F., Peuch, V.-H. & Wang, T. (2023). Does downscaling improve the performance of urban ozone modeling?. Geophysical Research Letters, 50: e2023GL104761. doi:10.1029/2023GL104761 [publisher-version]
  • Wei, J., Li, Z., Chen, X., Li, C., Sun, Y., Wang, J., Lyapustin, A., Brasseur, G., Jiang, M., Sun, L., Wang, T., Jung, C., Qiu, B., Fang, C., Liu, X., Hao, J., Wang, Y., Zhan, M., Song, X. & Liu, Y. (2023). Separating daily 1 km PM2.5 inorganic chemical composition in China since 2000 via deep learning integrating ground, satellite, and model data. Environmental Science & Technology: early access. doi:10.1021/acs.est.3c00272
  • Yao, L., Liu, C.-H., Brasseur, G. & Chao, C. (2023). Winds and eddy dynamics in the urban canopy layer over a city: A parameterization based on the mixing-layer analogy. Building and Environment, 246: 110962. doi:10.1016/j.buildenv.2023.110962
  • Zhang, Y., Dai , J., Li, Q., Chen, T., Mu, J., Brasseur, G., Wang, T. & Xue, L. (2023). Biogenic volatile organic compounds enhance ozone production and complicate control efforts: Insights from long-term observations in Hong Kong. Atmospheric Environment, 309: 119917. doi:10.1016/j.atmosenv.2023.119917
  • Craig, M., Wohland, J., Stoop, L., Kies, A., Pickering, B., Bloomfield, H., Browell, J., De Felice, M., Dent, C., Deroubaix, A., Frischmuth, F., Gonzalez, P., Grochowicz, A., Gruber, K., Haertel, P., Kittel, M., Kotzur, L., Labuhn, I., Lundquist, J., Pflugradt, N., Van der Wiel, K., Zeyringer, M. & Brayshaw, D. (2022). Overcoming the disconnect between energy system and climate modeling. Joule, 6, 1405-1417. doi:10.1016/j.joule.2022.05.010 [pre-print]
  • Deroubaix, A., Menut, L., Flamant, C., Knippertz, P., Fink, A., Batenburg, A., Brito, J., Denjean, C., Dione, C., Dupuy, R., Hahn, V., Kalthoff, N., Lohou, F., Schwarzenboeck, A., Siour, G., Tuccella, P. & Voigt, C. (2022). Sensitivity of low-level clouds and precipitation to anthropogenic aerosol emission in southern West Africa: a DACCIWA case study. Atmospheric Chemistry and Physics, 22, 3251-3273. doi:10.5194/acp-22-3251-2022 [publisher-version]
  • Guo, J., Zhang, X., Gao, Y., Wang, Z., Zhang, M., Xue, W., Herrmann, H., Brasseur, G., Wang, T. & Wang, Z. (2022). Evolution of ozone pollution in China: What track will it follow?. Environmental Science and Technology, 57, 109-117. doi:10.1021/acs.est.2c08205 [publisher-version]
  • Kumar, R., He, C., Bhardwaj, P., Lacey, F., Buchholz, R., Brasseur, G., Joubert, W., Labuschagne, C., Kozlova, E. & Mkololo, T. (2022). Assessment of regional carbon monoxide simulations over Africa and insights into source attribution and regional transport. Atmospheric Environment, 277: 119075. doi:10.1016/j.atmosenv.2022.119075
  • Li, C., Brasseur, G., Granier, C., Sofiev, M., Timmermans, R., Basart, S., Pfister, G., Kumar, R., Caillard, B. & Boose, Y. (2022). Introduction to the AQ-WATCH Project and the AQ-WATCH Toolkit to fight air pollution. European Journal of Public Health, 32(Suppl. 3): ckac131.156. doi:10.1093/eurpub/ckac131.156 [publisher-version]
  • Ouyang, H., Tang, X., Kumar, R., Zhang, R., Brasseur, G., Churchill, B., Alam, M., Kan, H., Liao, H., Zhu, T., Chan, E., Sokhi, R., Yuan, J., Baklanov, A., Chen, J. & Patdu, M. (2022). Toward better and healthier air quality: Implementation of WHO 2021 global air quality guidelines in Asia. Bulletin of the American Meteorological Society, 103, E1696-E1703. doi:10.1175/BAMS-D-22-0040.1 [publisher-version]
  • Peng, X., Wang, T., Wang, W., Ravishankara, A., George, C., Xia, M., Cai, M., Li, Q., Salvador, C., Lau, C., Lyu, X., Poon, C., Mellouki, A., Mu, Y., Hallquist, M., Saiz-Lopez, A., Guo, H., Herrmann, H., Yu, C., Dai , J., Wang, Y., Wang, X., Yu, A., Leung, K., Lee, S. & Chen, J. (2022). Photodissociation of particulate nitrate as a source of daytime tropospheric Cl2. Nature Communications, 13: 939. doi:10.1038/s41467-022-28383-9 [publisher-version]
  • Wang, P., Zhu, S., Vrekoussis, M., Brasseur, G., Wang, S. & Zhang, H. (2022). Is atmospheric oxidation capacity better in indicating tropospheric O-3 formation?. Frontiers of Environmental Science & Engineering, 16: 65. doi:10.1007/s11783-022-1544-5
  • Wang, T., Xue, L., Feng, Z., Dai, J., Zhang, Y. & Tan, Y. (2022). Ground-level ozone pollution in China: A synthesis of recent findings on influencing factors and impacts. Environmental Research Letters, 17: 063003. doi:10.1088/1748-9326/ac69fe [publisher-version][supplementary-material]
  • Wang, Y., Brasseur, G. & Wang, T. (2022). Segregation of atmospheric oxidants in turbulent urban environments. Atmosphere, 13: 315. doi:10.3390/atmos13020315 [publisher-version]
  • Williams, J., Huijnen, V., Bouarar, I., Meziane, M., Schreurs, T., Pelletier, S., Marecal, V., Josse, B. & Flemming, J. (2022). Regional evaluation of the performance of the global CAMS chemical modeling system over the United States (IFS cycle 47r1). Geoscientific Model Development, 15, 4657-4687. doi:10.5194/gmd-15-4657-2022 [publisher-version][supplementary-material]
  • Yao, L., Liu, C.-H., Mo, Z., Cheng, W.-C., Brasseur, G. & Chao, C. (2022). Statistical analysis of the organized turbulence structure in the inertial and roughness sublayers over real urban area by building-resolved large-eddy simulation. Building and Environment, 207(Part B): 108464. doi:10.1016/j.buildenv.2021.108464
  • Zhang, R., Tang, X., Liu, J., Visbeck, M., Guo, H., Murray, V., Mcgillycuddy, C., Ke, B., Kalonji, G., Zhai, P., Shi, X., Lu, J., Zhou, X., Kan, H., Han, Q., Ye, Q., Luo, Y., Chen, J., Cai, W., Ouyang, H., Djalante, R., Baklanov, A., Ren, L., Brasseur, G., Gao, G. & Zhou, L. (2022). From concept to action: a united, holistic and One Health approach to respond to the climate change crisis. Infectious Diseases of Poverty, 11: 17. doi:10.1186/s40249-022-00941-9 [publisher-version]
  • Beringui, K., Justo, E., De Falco, A., Santa-Helena, E., Rocha, W., Deroubaix, A. & Gioda, A. (2021). Assessment of air quality changes during COVID-19 partial lockdown in a Brazilian metropolis: from lockdown to economic opening of Rio de Janeiro, Brazil. Air Quality, Atmosphere & Health, 15, 1205-1220. doi:10.1007/s11869-021-01127-2
  • Bouarar, I., Gaubert, B., Brasseur, G., Steinbrecht, W., Doumbia, T., Tilmes, S., Liu, Y., Stavrakou, T., Deroubaix, A., Darras, S., Granier, C., Lacey, F., Mueller, J.-F., Shi, X., Elguindi, N. & Wang, T. (2021). Ozone anomalies in the free troposphere during the COVID-19 pandemic. Geophysical Research Letters, 48: e2021GL094204. doi:10.1029/2021GL094204 [publisher-version][supplementary-material]
  • Brasseur, G. & Kumar, R. (2021). Chemical weather and chemical climate. AGU Advances, 2: e2021AV000399. doi:10.1029/2021AV000399 [publisher-version]
  • Deroubaix, A., Brasseur, G., Gaubert, B., Labuhn, I., Menut, L., Siour, G. & Tuccella, P. (2021). Response of surface ozone concentration to emission reduction and meteorology during the COVID-19 lockdown in Europe. Meteorological Applications, 28: e1990. doi:10.1002/met.1990 [publisher-version]
  • Doumbia, T., Granier, C., Elguindi, N., Bouarar, I., Darras, S., Brasseur, G., Gaubert, B., Liu, Y., Shi , X., Stavrakou, T., Tilmes, S., Lacey, F., Deroubaix, A. & Wang, T. (2021). Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric modeling. Earth System Science Data, 13, 4191-4206. doi:10.5194/essd-13-4191-2021 [publisher-version][supplementary-material]
  • Gaubert, B., Bouarar, I., Doumbia, T., Liu, Y., Stavrakou, T., Deroubaix, A., Darras, S., Elguindi, N., Granier, C., Lacey, F., Müller, J.-F., Shi, X., Tilmes, S., Wang, T. & Brasseur, G. (2021). Global changes in secondary atmospheric pollutants during the 2020 COVID-19 pandemic. Journal of Geophysical Research: Atmospheres, 126: e2020JD034213. doi:10.1029/2020JD034213 [publisher-version]
  • Ibarra, A., Hewitt, C., Winarto, Y., Walker, S., Keener, V., Bayala, J., Christel, I., Bloomfield, H., Halsnæs, K., Jacob, D., Brasseur, G., Haigh, T. & van den Hurk, B. (2021). Resilience through climate services. One Earth, 4, 1050-1054. doi:10.1016/j.oneear.2021.08.002
  • Li, C., Brasseur, G., Schmidt, H. & Mellado, J. (2021). Error induced by neglecting subgrid chemical segregation due to inefficient turbulent mixing in regional chemical-transport models in urban environments. Atmospheric Chemistry and Physics, 21, 483-503. doi:10.5194/acp-21-483-2021 [supplementary-material][publisher-version]
  • Liu, Y., Wang, T., Stavrakou, T., Elguindi, N., Doumbia, T., Granier, C., Bouarar, I., Gaubert, B. & Brasseur, G. (2021). Diverse response of surface ozone to COVID-19 lockdown in China. Science of the Total Environment, 789: 147739. doi:10.1016/j.scitotenv.2021.147739
  • Stavrakou, T., Müller, J.-F., Bauwens, M., Doumbia, T., Elguindi, N., Darras, S., Granier, C., De Smedt, I., Lerot, C., Van Roozendael, M., Franco, B., Clarisse, L., Clerbaux, C., Coheur, P.-F., Liu, Y., Wang, T., Shi, X., Gaubert, B., Tilmes, S. & Brasseur, G. (2021). Atmospheric impacts of COVID-19 on NOx and VOC levels over China based on TROPOMI and IASI satellite data and modeling. Atmosphere, 12: 946. doi:10.3390/atmos12080946 [publisher-version]
  • Wagner , A., Bennouna, Y., Blechschmidt, A.-M., Brasseur, G., Chabrillat, S., Christophe, Y., Errera, Q., Eskes, H., Flemming, J., Hansen, K., Inness, A., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N., Thouret, V. & Zerefos, C. (2021). Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations: Reactive gases. Elementa: Science of the Anthropocene, 9: 00171. doi:10.1525/elementa.2020.00171 [publisher-version]
  • Wang, Y., Ma, Y.-F., Muñoz-Esparza, D., Li, C., Barth, M., Wang, T. & Brasseur, G. (2021). The impact of inhomogeneous emissions and topography on ozone photochemistry in the vicinity of Hong Kong Island. Atmospheric Chemistry and Physics, 21, 3531-3553. doi:10.5194/acp-21-3531-2021 [publisher-version]
  • Xing, X., Xiong, Y., Yang, R., Wang, R., Wang, W., Kan, H., Lu, T., Li, D., Cao, J., Peñuelas, J., Ciais, P., Bauer, N., Boucher, O., Balkanski, Y., Hauglustaine, D., Brasseur, G., Morawska, L., Janssens, I., Wang, X., Sardans, J., Wang, Y., Deng, Y., Wang, L., Chen, J., Tang, X. & Zhang, R. (2021). Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations. Proceedings of the National Academy of Sciences of the United States of America, 118: e2109098118. doi:10.1073/pnas.2109098118 [publisher-version]
  • Bellouin, N., Davies, W., Shine, K., Quaas, J., Muelmenstaedt, J., Forster, P., Smith, C., Lee, L., Regayre, L., Brasseur, G., Sudarchikova, N., Bouarar, I., Boucher, O. & Myhre, G. (2020). Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition. Earth System Science Data, 12, 1649-1677. doi:10.5194/essd-12-1649-2020 [publisher-version]
  • Brasseur, G. (2020). The Importance of fundamental science for society: The success story of Ozone research. Perspectives of Earth and Space Scientists, 1: e2020CN000136. doi:10.1029/2020CN000136 [publisher-version]
  • Brasseur, G. (2020). The ozone layer: from discovery to recovery. Boston: American Meteorological Society.
  • Kinnison, D., Brasseur, G., Baughcum, S., Zhang, J. & Wuebbles, D. (2020). The impact on the ozone layer of a potential fleet of civil hypersonic aircraft. Earth's Future, 8: e2020EF001626. doi:10.1029/2020EF001626 [publisher-version][supplementary-material]
  • Ruti, P., Tarasova, O., Keller, J., Carmichael, G., Hov, Ø., Jones, S., Terblanche, D., Anderson-Lefale, C., Barros, A., Bauer, P., Bouchet, V., Brasseur, G., Brunet, G., DeCola, P., Dike, V., Kane, M., Gan, C., Gurney, K., Hamburg, S., Hazeleger, W., Jean, M., Johnston, D., Lewis, A., Li, P., Liang, X., Lucarini, V., Lynch, A., Manaenkova, E., Jae-Cheol, N., Ohtake, S., Pinardi, N., Polcher, J., Ritchie, E., Sakya, A., Saulo, C., Singhee, A., Sopaheluwakan, A., Steiner, A., Thorpe, A. & Yamaji, M. (2020). Advancing research for seamless earth system prediction. Bulletin of the American Meteorological Society, 101, E23-E35. doi:10.1175/BAMS-D-17-0302.1 [publisher-version][supplementary-material]
  • Shi , X. & Brasseur, G. (2020). The response in air quality to the reduction of Chinese economic activities during the COVID-19 outbreak. Geophysical Research Letters, 47: e2020GL088070. doi:10.1029/2020GL088070 [publisher-version][supplementary-material]
  • Wang, Y., Ma, Y.-F., Eskes, H., Inness, A., Flemming, J. & Brasseur, G. (2020). Evaluation of the CAMS global atmospheric trace gas reanalysis 2003-2016 using aircraft campaign observations. Atmospheric Chemistry and Physics, 20, 4493-4521. doi:10.5194/acp-20-4493-2020 [publisher-version]
  • Baldwin, M., Birner, T., Brasseur, G., Burrows, J., Butchart, N., Garcia, R., Geller, M., Gray, L., Hamilton, K., Harnik, N., Hegglin, M., Langematz, U., Robock, A., Sato, K. & Scaife, A. (2019). 100 Years of progress in understanding the stratosphere and mesosphere. Meteorological Monographs, 59(A Century of Progress in Atmospheric and Related Sciences), 27.1-27.62. doi:10.1175/AMSMONOGRAPHS-D-19-0003.1 [publisher-version]
  • Bouarar, I., Brasseur, G., Petersen, K., Granier, C., Fan, Q., Wang, X., Wang, L., Ji, D., Liu, Z., Xie, Y., Gao, W. & Elguindi, N. (2019). Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010. Atmospheric Environment, 198, 236-256. doi:10.1016/j.atmosenv.2018.10.043
  • Brasseur, G., Xie, Y., Petersen, K., Bouarar, I., Flemming, J., Gauss, M., Jiang, F., Kouznetsov, R., Kranenburg, R., Mijling, B., Peuch, V.-H., Pommier, M., Segers, A., Sofiev, M., Timmermans, R., van der A, R., Walters, S., Xu, J. & Zhou, G. (2019). Ensemble forecasts of air quality in eastern China - Part 1: Model description and implementation of the MarcoPolo-Panda prediction system, version 1. Geoscientific Model Development, 12, 33-67. doi:10.5194/gmd-12-33-2019 [publisher-version]
  • Chuvieco, E., Mouillot, F., van der Werf, G., San Miguel, J., Tanasse, M., Koutsias, N., García, M., Yebra, M., Padilla, M., Gitas, I., Heil, A., Hawbaker, T. & Giglio, L. (2019). Historical background and current developments for mapping burned area from satellite Earth observation. Remote Sensing of Environment, 225, 45-64. doi:10.1016/j.rse.2019.02.013 [publisher-version]
  • Gruzdev, A., Bezverkhnii, V., Schmidt, H. & Brasseur, G. (2019). Effects of solar activity variations on dynamical processes in the atmosphere: Analysis of empirical data and modeling. IOP Conference Series: Earth and Environmental Science, 231: 012021. doi:10.1088/1755-1315/231/1/012021 [publisher-version]
  • Huijnen, V., Pozzer, A., Arteta, J., Brasseur, G., Bouarar, I., Chabrillat, S., Christophe, Y., Doumbia, T., Flemming, J., Guth, J., Josse, B., Karydis, V., Marécal, V. & Pelletier, S. (2019). Quantifying uncertainties due to chemistry modelling: Evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1). Geoscientific Model Development, 12, 1725-1752. doi:10.5194/gmd-12-1725-2019 [publisher-version]
  • Li, C. (2019). Atmospheric chemistry reactions in a turbulent flow: applications to an urban environment. Phd Thesis, Hamburg: Universität Hamburg. Berichte zur Erdsystemforschung, 217. doi:10.17617/2.3069134 [publisher-version]
  • Ma, Y.-F., Liu, C.-H., Wang, Y. & Brasseur, G. (2019). CFD modeling of flows and reactive pollution dispersion in complex urban areas. In 19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019
  • Petersen, K., Brasseur, G., Bouarar, I., Flemming, J., Gauss, M., Jiang, F., Kouznetsov, R., Kranenburg, R., Mijling, B., Peuch, V., Pommier, M., Segers, A., Sofiev, M., Timmermans, R., van der A, R., Walters, S., Xie, Y., Xu, J. & Zhou, G. (2019). Ensemble forecasts of air quality in eastern China - Part 2: Evaluation of the MarcoPolo-Panda prediction system, version 1. Geoscientific Model Development, 12, 1241-1266. doi:10.5194/gmd-12-1241-2019 [publisher-version]
  • Teckentrup, L., Harrison, S., Hantson, S., Heil, A., Melton, J., Forrest, M., Li, F., Yue, C., Arneth, A., Hickler, T., Sitch, S. & Lasslop, G. (2019). Response of simulated burned area to historical changes in environmental and anthropogenic factors: A comparison of seven fire models. Biogeosciences, 16, 3883-3910. doi:10.5194/bg-16-3883-2019 [publisher-version]
  • Gruzdev, A., Schmidt, H. & Brasseur, G. (2018). The effect of the 27-day solar cycle on the wave activity of the atmosphere calculated by a chemistry-climate model. Proceedings of SPIE, 10833: 1083399. doi:10.1117/12.2502979
  • Qu, Y., Xu, J., Brasseur, G., Xie, Y., Zhou, G. & Ma, J. (2018). 利用多模式最优集成方法预报上海PM2.5 (Application of OCF on PM2.5 forecast in Shanghai). 环境科学学报 (Huanjing Kexue Xuebao = Acta Scientiae Circumstantiae), 38, 3449-3456. doi:10.13671/j.hjkxxb.2018.0187 [pre-print]
  • Sánchez-Ccoyllo, O., Ordoñez-Aquino, C., Muñoz, Á., Llacza, A., Andrade, M., Liu, Y., Reátegui-Romero, W. & Brasseur, G. (2018). Modeling study of the particulate matter in Lima with the WRF-Chem Model: case study of April 2016. International Journal of Applied Engineering Research, 13, 10129-10141. doi:10.37622/IJAER/13.11.2018.10129-10141
  • Stammer, D., Bracco, A., Braconnot, P., Brasseur, G., Griffies, S. & Hawkins, E. (2018). Science directions in a post COP21 world of transient climate change: Enabling regional to local predictions in support of reliable climate information. Earth's Future, 6, 1428-1507. doi:10.1029/2018EF000979 [publisher-version]
  • Weatherhead, E., Wielicki, B., Ramaswamy, V., Abbott, M., Ackerman, T., Atlas, R., Brasseur, G., Bruhwiler, L., Busalacchi, A., Butler, J., Clack, C., Cooke, R., Cucurull, L., Davis, S., English, J., Fahey, D., Fine, S., Lazo, J., Liang, S., Loeb, N., Rignot, E., Soden, B., Stanitski, D., Stephens, G., Tapley, B., Thompson, A., Trenberth, K. & Wuebbles, D. (2018). Designing the climate observing system of the future. Earth's Future, 6, 80-102. doi:10.1002/2017EF000627 [publisher-version]
  • Bouarar, I., Wang, X. & Brasseur, G. (Eds.). (2017). Air Pollution in Eastern Asia: An Integrated Perspective. Cham: Springer Int. Publ.. doi:10.1007/978-3-319-59489-7
  • Bouarar, I., Petersen, K., Granier, C., Xie, Y., Mijling, B., van der Ronald, A., Gauss, M., Pommier, M., Sofiev, M., Kouznetsov, R., Sudarchikova, N., Wang, L., Guangqiang, Z. & Brasseur, G. (2017). Predicting air pollution in East Asia. In Bouarar, I., Wang, X. & Brasseur, G. (Eds.), Air Pollution in Eastern Asia: An Integrated Perspective (pp.387-403). Cham: Springer. doi:10.1007/978-3-319-59489-7_18
  • Bouarar, I., Wang, X. & Brasseur, G. (2017). Air Pollution in Eastern Asia - An Integrated Perspective: Preface. In Bouarar, I., Wang, X. & Brasseur, G. (Eds.), Air pollution in Eastern Asia: An integrated perspective (pp.V-VIII). [publisher-version]
  • Brasseur, G., Jacob, D. & Schuck-Zöller, S. (Eds.). (2017). Klimawandel in Deutschland: Entwicklung, Folgen, Risiken und Perspektiven. Berlin: Springer. doi:10.1007/978-3-662-50397-3 [publisher-version]
  • Brasseur, G. & Jacob, D. (2017). Modeling of atmospheric chemistry. Cambridge: Cambridge Univ. Press. doi:10.1017/9781316544754
  • Brasseur, G., Becker, P., Claussen, M., Jacob, D., Schellhuber, H.-J. & Schuck-Zöller, S. (2017). Klimawandel in Deutschland: Einführung. In Brasseur, G., Jacob, D. & Schuck-Zöller, S. (Eds.), Klimawandel in Deutschland: Entwicklung, Folgen, Risiken und Perspektiven (pp.1 -4). Berlin: Springer. doi:10.1007/978-3-662-50397-3_1 [publisher-version]
  • Basart, S., Benedictow, A., Blechschmidt, A.-M., Chabrillat, S., Clark, H., Cuevas, E., Flentje, H., Hansen, K., Im, U., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N., Thouret, V., Warneke, T. & Zerefos, C. (2017). Validation report of the CAMS near-real-time global atmospheric composition service. September-November 2016. Report of the Copernicus Atmosphere Monitoring Service, Validation Subproject. [publisher-version]
  • Granier, C., Doumbia, T., Granier, L., Sindelarova, K., Frost, G., Bouarar, I., Liousse, C., Darras, S. & Stavrakou, J. (2017). Anthropogenic emissions in Asia. In Bouarar, I., Wang, X. & Brasseur, G. (Eds.), Air Pollution in Eastern Asia: An Integrated Perspective (pp.107-133). Cham: Springer. doi:10.1007/978-3-319-59489-7_6
  • Kumar, R., Barth, M., Monache, L., Ghude, S., Pfister, G., Naja, M. & Brasseur, G. (2017). An overview of air quality modeling activities in South Asia. In Bouarar, I., Wang, X. & Brasseur, G. (Eds.), Air Pollution in Eastern Asia: An Integrated Perspective (pp.27-47). Cham: Springer. doi:10.1007/978-3-319-59489-7_2
  • Tie, X., Long, X., Dai, W. & Brasseur, G. (2017). Surface PM2.5, satellite distribution of atmospheric optical depth and related effects on crop production in China. In Bouarar, I., Wang, X. & Brasseur, G. (Eds.), Air Pollution in Eastern Asia: An Integrated Perspective (pp.479-488). Cham: Springer. doi:10.1007/978-3-319-59489-7_23
  • Brasseur, G., Gupta, M., Anderson, B., Balasubramanian, S., Barrett, S., Duda, D., Fleming, G., Forster, P., Fuglestvedt, J., Gettelman, A., Halthore, R., Jacob, S., Jacobson, M., Khodayari, A., Liou, K.-N., Lund, M., Miake-Lye, R., Minnis, P., Olsen, S., Penner, J., Prinn, R., Schumann, U., Selkirk, H., Sokolov, A., Unger, N., Wolfe, P., Wong, H.-W., Wuebbles, D., Yi, B., Yang, P. & Zhou, C. (2016). Impact of Aviation on Climate: FAA's Aviation Climate Change Research Initiative (ACCRI) Phase II.. Bulletin of the American Meteorological Society, 97, 561-583. doi:10.1175/BAMS-D-13-00089.1 [publisher-version]
  • Brasseur, G. & Gallardo, L. (2016). Climate services: Lessons learned and future prospects. Earth's Future, 4, 79-89. doi:10.1002/2015EF000338 [publisher-version]
  • Basart, S., Benedictow, A., Blechschmidt, A.-M., Chabrillat, S., Clark, H., Cuevas, E., Flentje, H., Hansen, K., Im, U., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N., Thouret, V., Warneke, T. & Zerefos, C. (2016). Validation report of the CAMS near-real-time global atmospheric composition service. Status up to 1 September 2016. Report of the Copernicus Atmosphere Monitoring Service, Validation Subproject. [publisher-version]
  • Hoshyaripour, G., Brasseur, G., Andrade, M., Gavidia-Calderón, M., Bouarar, I. & Ynoue, R. (2016). Prediction of ground-level ozone concentration in São Paulo, Brazil: Deterministic versus statistic models. Atmospheric Environment, 145, 365-375. doi:10.1016/j.atmosenv.2016.09.061
  • Basart, S., Benedictow, A., Blechschmidt, A.-M., Chabrillat, S., Christophe, Y., Clark, H., Cuevas, E., Flentje, H., Hansen, K., Im, U., Kapsomenakis, J., Langerock, B., Ramonet, M., Richter, A., Schulz, M., Sudarchikova, N., Thouret, V., Wagner , A., Warneke, T. & Zerefos, C. (2016). Validation report of the CAMS near-real-time global atmospheric composition service: System evolution and performance statistics. Status up to 1 March 2016.. Report of the Copernicus Atmosphere Monitoring Service, Validation Subproject, CAMS-84. [publisher-version]
  • Basart, S., Benedictow, A., Blechschmidt, A.-M., Chabrillat, S., Christophe, Y., Clark, H., Cuevas, E., Flentje, H., Hansen, K., Im, U., Kapsomenakis, J., Langerock, B., Richter, A., Schulz, M., Sudarchikova, N., Thouret, V., Wagner , A. & Zerefos, C. (2016). Validation report of the CAMS near-real-time global atmospheric composition service: System evolution and performance statistics. Status up to 1 December 2015.. Report of the Copernicus Atmosphere Monitoring Service, Validation Subproject, CAMS-84. [publisher-version]
  • Basart, S., Benedictow, A., Blechschmidt, A.-M., Chabrillat, S., Clark, H., Cuevas, E., Flentje, H., Hansen, K., Im, U., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N., Thouret, V., Warneke, T. & Zerefos, C. (2016). Validation report of the CAMS near-real-time global atmospheric composition service: System evolution and performance statistics. Status up to 1 June 2016.. Report of the Copernicus Atmosphere Monitoring Service, Validation Subproject, CAMS-84. [publisher-version]
  • Li, Z., Lau, W.-M., Ramanathan, V., Wu, G., Ding, Y., Manoj, M., Liu, J., Qian, Y., Li, J., Zhou, T., Fan, J., Rosenfeld, D., Ming, Y., Wang, Y., Huang, J., Wang, B., Xu, X., Lee, S.-S., Cribb, M., Zhang, F., Yang, X., Zhao, C., Takemura, T., Wang, K., Xia, X., Yin, Y., Zhang, H., Guo, J., Zhai, P., Sugimoto, N., Babu, S. & Brasseur, G. (2016). Aerosol and monsoon climate interactions over Asia. Reviews of Geophysics, 54, 866-929. doi:10.1002/2015RG000500 [publisher-version]
  • Rockström, J., Schellnhuber, H., Hoskins, B., Ramanathan, V., Schlosser, P., Brasseur, G., Gaffney, O., Nobre, C., Meinshausen, M., Rogelj, J. & Lucht, W. (2016). The world’s biggest gamble. Earth's Future, 4, 465-470. doi:10.1002/2016EF000392 [publisher-version]
  • Brasseur, G. & Carlson, D. (2015). Future directions for the World Climate Research Programme. EOS, 96(16), 9-11. doi:10.1029/2015EO033577 [publisher-version]
  • Emmons, L., Arnold, S., Monks, S., Huijnen, V., Tilmes, S., Law, K., Thomas, J., Raut, J.-C., Bouarar, I., Turquety, S., Long, Y., Duncan, B., Steenrod, S., Strode, S., Flemming, J., Mao, J., Langner, J., Thompson, A., Tarasick, D., Apel, E., Blake, D., Cohen, R., Dibb, J., Diskin, G., Fried, A., Hall, S., Huey, L., Weinheimer, A., Wisthaler, A., Mikoviny, T., Nowak, J., Peischl, J., Roberts, J., Ryerson, T., Warneke, C. & Helmig, D. (2015). The POLARCAT Model Intercomparison Project (POLMIP): Overview and evaluation with observations. Atmospheric Chemistry and Physics, 15, 6721-6744. doi:10.5194/acp-15-6721-2015 [publisher-version]
  • Erisman, J., Brasseur, G., Ciais, P., van Eekeren, N. & Theis, T. (2015). Global change: Put people at the centre of global risk management. Nature, 519, 151-153. doi:10.1038/519151a
  • Eskes, H., Huijnen, V., Arola, A., Benedictow, A., Blechschmidt, A.-M., Botek, E., Boucher, O., Bouarar, I., Chabrillat, S., Cuevas, E., Engelen, R., Flentje, H., Gaudel, A., Griesfeller, J., Jones, L., Kapsomenakis, J., Katragkou, E., Kinne, S., Langerock, B., Razinger, M., Richter, A., Schultz, M., Schulz, M., Sudarchikova, N., Thouret, V., Vrekoussis, M., Wagner, A. & Zerefos, C. (2015). Validation of reactive gases and aerosols in the MACC global analysis and forecast system. Geoscientific Model Development, 8, 3523-3543. doi:10.5194/gmd-8-3523-2015 [publisher-version]
  • George, M., Clerbaux, C., Bouarar, I., Coheur, P.-F., Deeter, M., Edwards, D., Francis, G., Gille, J., Hadji-Lazaro, J., Hurtmans, D., Inness, A., Mao, D. & Worden, H. (2015). An examination of the long-term CO records from MOPITT and IASI: Comparison of retrieval methodology. Atmospheric Measurement Techniques, 8, 4313-4328. doi:10.5194/amt-8-4313-2015 [publisher-version]
  • Inness, A., Blechschmidt, A.-M., Bouarar, I., Chabrillat, S., Crepulja, M., Engelen, R., Eskes, H., Flemming, J., Gaudel, A., Hendrick, F., Huijnen, V., Jones, L., Kapsomenakis, J., Katragkou, E., Keppens, A., Langerock, B., de Maziere, M., Melas, D., Parrington, M., Peuch, V., Razinger, M., Richter , A., Schultz, M., Suttie, M., Thouret, V., Vrekoussis, M., Wagner, A. & Zerefos, C. (2015). Data assimilation of satellite-retrieved ozone, carbon monoxide and nitrogen dioxide with ECMWF's Composition-IFS. Atmospheric Chemistry and Physics, 15, 5275-5303. doi:10.5194/acp-15-5275-2015 [publisher-version][publisher-version]
  • Nagase, H., Kinnison, D., Petersen, A., Vitt, F. & Brasseur, G. (2015). Effects of injected ice particles in the lower stratosphere on the Antarctic ozone hole. Earth's Future, 3, 143-158. doi:10.1002/2014EF000266 [publisher-version]
  • Roiger, A., Thomas, J.-L., Schlager, H., Law, K., Kim, J., Schäfler, A., Weinzierl, B., Dahlkötter, F., Risch, I., Marelle, L., Minikin, A., Raut, J.-C., Reiter, A., Rose, M., Scheibe, M., Stock, P., Baumann, R., Bouarar, I., Lerbaux, C., George, M., Onishi, T. & Flemming, A. (2015). Quantifying emerging local anthropogenic emissions in the arctic region: The access aircraft campaign experiment. Bulletin of the American Meteorological Society, 96, 441-460. doi:10.1175/BAMS-D-13-00169.1 [publisher-version]
  • Seitzinger, S., Gaffney, O., Brasseur, G., Broadgate, W., Ciais, P., Claussen, M., Erisman, J., Kiefer, T., Lancelot, C., Monks, P., Smyth, K., Syvitski, J. & Uematsu, M. (2015). International Geosphere–Biosphere Programme and Earth system science: Three decades of co-evolution. Anthropocene, 12, 3-16. doi:10.1016/j.ancene.2016.01.001 [publisher-version]
  • Sindelarova, K., Granier, C., Bouarar, I., Guenther, A., Tilmes, S., Stavrakou, T., Muller, J.-F., Kuhn, U., Stefani, P. & Knorr, W. (2014). Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years. Atmospheric Chemistry and Physics, 14, 9317-9341. doi:10.5194/acp-14-9317-2014 [publisher-version]
  • Stein, O., Schultz, M., Bouarar, I., Clark, H., Huijnen, V., Gaudel, A., George, M. & Clerbaux, C. (2014). On the wintertime low bias of Northern Hemisphere carbon monoxide found in global model simulations. Atmospheric Chemistry and Physics, 14, 9295-9316. doi:10.5194/acp-14-9295-2014 [publisher-version]

Contact

Prof. Dr. Guy Brasseur

Group leader
Phone: +49 (0)40 41173-209
guy.brasseur@we dont want spammpimet.mpg.de
 

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