ORCID (Biographie und Publikationen)
Curriculum Vitae
Research Interests
Projects
Lectures and Seminars
Further Profiles
Publications
Curriculum Vitae
| Since 11/2016 | Scientist, Institute of Meteorology and Climate Research, Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Germany |
| 10/2012–12/2016 | PhD student at Ruhr-Universityät Bochum, Department of Geography, Germany PhD thesis: “Locating and understanding aerosol-cloud interactions with satellite observations” |
| 10/2009–02/2011 | Scientific Assistant, Laboratory for Climatology and Remote Sensing (LCRS), Philipps-Universität Marburg, Germany |
| 10/2008–07/2009 | International scholarship, Université Jean Moulin, Lyon, France |
| 10/2006–07/2012 | Study of Geography, Geographic Department, Philipps-Universität Marburg, Germany Diploma thesis: “A Climatic Analysis of Saharan Dust Transport over the Atlantic Ocean based on Terra-MODIS Products” |
Research Interests
- Satellite remote sensing
- Saharan dust transport
- Interactions of aerosol, clouds and meteorological conditions
- Urban effects on clouds
- Multivariate analyses including machine learning
Projects
Lectures and Seminars
- Introduction to climatology
- Environmental problems and conflicts
- Landscapes and ecosystems in central Europe
- Remote sensing systems
- Remote sensing and aerial photogrammetry
Further Profiles
Publications
2024
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Pauli, E.; Cermak, J.; Andersen, H.; Fuchs, J. (2024). An analysis of fog and low stratus life‐cycle regimes over central Europe. Quarterly Journal of the Royal Meteorological Society, 150 (761), 2382–2396. doi:10.1002/qj.4714
2022
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Fuchs, J.; Andersen, H.; Cermak, J.; Pauli, E.; Roebeling, R. (2022). High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds. Atmospheric Measurement Techniques, 15 (14), 4257–4270. doi:10.5194/amt-15-4257-2022
2021
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Andersen, H.; Cermak, J.; Stirnberg, R.; Fuchs, J.; Kim, M.; Pauli, E. (2021). Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning. Tellus / B, 73 (1), 1–13. doi:10.1080/16000889.2021.1971925
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Cermak, J.; Trigo, I. F.; Fuchs, J. (2021). Imaging Techniques. Springer Handbook of Atmospheric Measurements. Hrsg.: T. Foken, Seite 1175–1188, Springer International Publishing. doi:10.1007/978-3-030-52171-4_42
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Stirnberg, R.; Cermak, J.; Kotthaus, S.; Haeffelin, M.; Andersen, H.; Fuchs, J.; Kim, M.; Petit, J.-E.; Favez, O. (2021). Meteorology-driven variability of air pollution (PM₁) revealed with explainable machine learning. Atmospheric chemistry and physics, 21 (5), 3919–3948. doi:10.5194/acp-21-3919-2021
2020
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Andersen, H.; Cermak, J.; Fuchs, J.; Knippertz, P.; Gaetani, M.; Quinting, J.; Sippel, S.; Vogt, R. (2020). Synoptic-scale controls of fog and low-cloud variability in the Namib Desert. Atmospheric chemistry and physics, 20 (6), 3415–3438. doi:10.5194/acp-20-3415-2020
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Kim, M.; Cermak, J.; Andersen, H.; Fuchs, J.; Stirnberg, R. (2020). A New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using Machine Learning and Meteosat SEVIRI Data. Remote sensing, 12 (21), Article: 3475. doi:10.3390/rs12213475
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Stirnberg, R.; Cermak, J.; Fuchs, J.; Andersen, H. (2020). Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning. Journal of geophysical research / D, 125 (4), Art.e2019JD031380. doi:10.1029/2019JD031380
2019
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Spirig, R.; Vogt, R.; Larsen, J. A.; Feigenwinter, C.; Wicki, A.; Franceschi, J.; Parlow, E.; Adler, B.; Kalthoff, N.; Cermak, J.; Andersen, H.; Fuchs, J.; Bott, A.; Hacker, M.; Wagner, N.; Maggs-Kölling, G.; Wassenaar, T.; Seely, M. (2019). Probing the fog life-cycles in the Namib desert. Bulletin of the American Meteorological Society, 100 (12), 2491–2507. doi:10.1175/BAMS-D-18-0142.1
2018
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Fuchs, J. (2018). Locating and understanding aerosol-cloud interactions with satellite observations. Dissertation. Ruhr-Universität.
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Fuchs, J.; Cermak, J.; Andersen, H. (2018). Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning. Atmospheric chemistry and physics, 18 (22), 16537–16552. doi:10.5194/acp-18-16537-2018
2017
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Andersen, H.; Cermak, J.; Fuchs, J.; Knutti, R.; Lohmann, U. (2017). Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks. Atmospheric chemistry and physics, 17 (15), 9535–9546. doi:10.5194/acp-17-9535-2017
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Fuchs, J.; Cermak, J.; Andersen, H.; Hollmann, R.; Schwarz, K. (2017). On the Influence of Air Mass Origin on Low-Cloud Properties in the Southeast Atlantic. Journal of geophysical research / Atmospheres. doi:10.1002/2017JD027184
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Schwarz, K.; Cermak, J.; Fuchs, J.; Andersen, H. (2017). Mapping the Twilight Zone : What We Are Missing between Clouds and Aerosols. Remote sensing, 9 (6), 577. doi:10.3390/rs9060577
2016
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Andersen, H.; Cermak, J.; Fuchs, J.; Schwarz, K. (2016). Global observations of cloud-sensitive aerosol loadings in low-level marine clouds. Journal of geophysical research / Atmospheres, 121 (21), 12,936–12,946. doi:10.1002/2016JD025614
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Makowski Giannoni, S.; Trachte, K.; Rollenbeck, R.; Lehnert, L.; Fuchs, J.; Bendix, J. (2016). Atmospheric salt deposition in a tropical mountain rainforest at the eastern Andean slopes of south Ecuador – Pacific or Atlantic origin?. Atmospheric chemistry and physics, 16 (15), 10241–10261. doi:10.5194/acp-16-10241-2016
2015
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Fuchs, J.; Cermak, J. (2015). Where Aerosols Become Clouds-Potential for Global Analysis Based on CALIPSO Data. Remote sensing, 7 (4), 4178–4190. doi:10.3390/rs70404178