Dr. Hendrik Andersen
- Co-Gruppenleiter
- Raum: 108
CN 435 - Tel.: +49 721 608-26550
+49 721 608-41361 - hendrik andersen ∂does-not-exist.kit edu
Curriculum Vitae | Research Interests | Projects | Courses Taught | Further Profiles | Publications
Curriculum Vitae
| Since 11/2016 | Scientist at KIT, Institute of Photogrammetry and Remote Sensing (IPF) |
| Since 11/2016 | Scientist at KIT, Institute of Meteorology and Climate Research (IMK) |
| 03/2022-05/2022 | Visiting scientist at University of Oxford, Department of Physics, Sub department of Atmospheric, Oceanic and Planetary Physics |
| 09/2018-11/2018 | Visiting scientist at ETH Zürich, Institute for Atmospheric and Climate Science |
| 04/2014-03/2017 | PhD student at Ruhr-University Bochum, Department of Geography, thesis: "A Quantitative, Satellite-Based Analysis of Aerosol Effects on Liquid-Water Clouds" |
Research Interests
| My research focuses on patterns and processes related to aerosols and low clouds/fog and their roles in the climate system using satellite remote sensing. During my PhD at Ruhr-University Bochum, Germany, I studied interactions between aerosols, liquid-water clouds and their meteorological environment using satellite data with various statistical models. As a PostDoc at KIT, I have been working to better understand the role of aerosols and clouds in the climate system, ranging from local air quality research to regional and global scale analyses of fog and low clouds and their responses to a changing environment. |
Projects
- AEROFOG: Aerosols and fog in southern Africa: processes and impact on biogeochemistry
- CALISMA: Constraining Aerosol-Low cloud InteractionS with multi-target MAchine learning
- FORCeS: Constrained aerosol forcing for improved climate projections
- NaFoLi[CA]²: Namib Fog Life Cycle Analysis - Aerosols and Climate
- ACTRIS-D - Karlsruhe Low-Cloud Exploratory Platform (KLOCX)
- NaFoLiCA: Namib Fog Life Cycle Analysis
- GEOPAC: A geographical perspective on aerosol-cloud interactions
Courses Taught
- Geoecological climate change impacts (seminar)
- Data analysis for geoscience remote sensing projects (lecture, exercise)
- Satellite climatology (exercise)
- Atmospheric remote sensing infrastructures (lecture series, exercise)
- Atmospheric physics
- Measuring and modeling in climate science I and II
- Introduction to climatology (exercise)
- Environmental problems and conflicts
- Landscapes and ecosystems in central Europe
- Remote sensing systems (exercise)
- Remote sensing and aerial photogrammetry (project-seminar)
Further Profiles
Publications
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2024Desboeufs, K.; Formenti, P.; Torres-Sánchez, R.; Schepanski, K.; Chaboureau, J.-P.; Andersen, H.; Cermak, J.; Feuerstein, S.; Laurent, B.; Klopper, D.; Namwoonde, A.; Cazaunau, M.; Chevaillier, S.; Feron, A.; Mirande-Bret, C.; Triquet, S.; Piketh, S. J. (2024). Fractional solubility of iron in mineral dust aerosols over coastal Namibia: a link to marine biogenic emissions?. Atmospheric Chemistry and Physics, 24 (2), 1525 – 1541. doi:10.5194/acp-24-1525-2024Dietel, B.; Andersen, H.; Cermak, J.; Stier, P.; Hoose, C. (2024). Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans. Geophysical Research Letters, 51 (20). doi:10.1029/2024GL110325Pauli, 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.4714Wilson Kemsley, S.; Ceppi, P.; Andersen, H.; Cermak, J.; Stier, P.; Nowack, P. (2024). A systematic evaluation of high-cloud controlling factors. Atmospheric Chemistry and Physics, 24 (14), 8295–8316. doi:10.5194/acp-24-8295-2024Wilson Kemsley, S.; Ceppi, P.; Andersen, H.; Cermak, J.; Stier, P.; Nowack, P. (2024). A systematic evaluation of high-cloud controlling factors. Copernicus. doi:10.5194/egusphere-2024-226Zipfel, L.; Andersen, H.; Grosvenor, D. P.; Cermak, J. (2024). How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning. Atmosphere, 15 (5), Art.-Nr.: 596. doi:10.3390/atmos15050596
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2023Andersen, H.; Cermak, J.; Douglas, A.; Myers, T. A.; Nowack, P.; Stier, P.; Wall, C. J.; Wilson Kemsley, S. (2023). Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations. Atmospheric Chemistry and Physics, 23 (18), 10775 – 10794. doi:10.5194/acp-23-10775-2023
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2022Andersen, H.; Cermak, J.; Zipfel, L.; Myers, T. A. (2022). Attribution of Observed Recent Decrease in Low Clouds Over the Northeastern Pacific to Cloud‐Controlling Factors. Geophysical research letters, 49 (3), e2021GL096498. doi:10.1029/2021GL096498Fuchs, 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-15-4257-2022Jahani, B.; Andersen, H.; Calbó, J.; González, J.-A.; Cermak, J. (2022). Longwave radiative effect of the cloud–aerosol transition zone based on CERES observations. Atmospheric chemistry and physics, 22 (2), 1483–1494. doi:10.5194/acp-22-1483-2022Pauli, E.; Cermak, J.; Andersen, H. (2022). A satellite‐based climatology of fog and low stratus formation and dissipation times in central Europe. Quarterly Journal of the Royal Meteorological Society, 148 (744), 1439–1454. doi:10.1002/qj.4272Zipfel, L.; Andersen, H.; Cermak, J. (2022). Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations. Atmosphere, 13 (4), Art.-Nr.: 586. doi:10.3390/atmos13040586
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2021Andersen, 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:10.1080/16000889.2021.1971925Stirnberg, 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
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2020Andersen, 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-20-3415-2020Kim, 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/rs12213475Pauli, E.; Andersen, H.; Bendix, J.; Cermak, J.; Egli, S. (2020). Determinants of fog and low stratus occurrence in continental central Europe – a quantitative satellite-based evaluation. Journal of hydrology, 591, Art.-Nr.: 125451. doi:10.1016/j.jhydrol.2020.125451Stirnberg, 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
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2019Adler, B.; Babić, K.; Kalthoff, N.; Lohou, F.; Lothon, M.; Dione, C.; Pedruzo-Bagazgoitia, X.; Andersen, H. (2019). Nocturnal low-level clouds in the atmospheric boundary layer over southern West Africa: an observation-based analysis of conditions and processes. Atmospheric chemistry and physics, 19 (1), 663–681. doi:10.5194/acp-19-663-2019Andersen, H.; Cermak, J.; Solodovnik, I.; Lelli, L.; Vogt, R. (2019). Spatiotemporal dynamics of fog and low clouds in the Namib unveiled with ground- and space-based observations. Atmospheric chemistry and physics, 19 (7), 4383–4392. doi:10.5194/acp-19-4383-2019Babić, K.; Adler, B.; Kalthoff, N.; Andersen, H.; Dione, C.; Lohou, F.; Lothon, M.; Pedruzo-Bagazgoitia, X. (2019). The observed diurnal cycle of low-level stratus clouds over southern West Africa: a case study. Atmospheric chemistry and physics, 19 (2), 1281–1299. doi:10.5194/acp-19-1281-2019Spirig, 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-18-0142.1Stirnberg, R.; Cermak, J.; Kotthaus, S.; Haeffelin, M.; Andersen, H.; Kim, M. (2019). Variability of air pollution (PM1) analyzed using explainable Machine Learning. Proceedings of the 9th International Workshop on Climate Informatics: CI 2019. Ed.: J. Brajard, 157–161, National Center for Atmospheric Research. doi:10.5065/y82j-f154
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2018Andersen, H.; Cermak, J. (2018). First fully diurnal fog and low cloud satellite detection reveals life cycle in the Namib. Atmospheric measurement techniques, 11 (10), 5461–5470. doi:10.5194/amt-11-5461-2018Fuchs, 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-18-16537-2018Stirnberg, R.; Cermak, J.; Andersen, H. (2018). An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10. Remote sensing, 10 (9), Art.-Nr.: 1353/1–17. doi:10.3390/rs10091353
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2017Andersen, H. (2017). A Quantitative, Satellite-Based Analysis of Aerosol Effects on Liquid-Water Clouds. Dissertation. Ruhr-Universität.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-17-9535-2017Fuchs, 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:10.1002/2017JD027184Schwarz, 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
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2016Andersen, 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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2015Andersen, H.; Cermak, J. (2015). How thermodynamic environments control stratocumulus microphysics and interactions with aerosols. Environmental research letters, 10 (2), Art. Nr.: 024004. doi:10.1088/1748-9326/10/2/024004
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2013Kaib, T.; Haddadpour, S.; Andersen, H. F.; Mayrhofer, L.; Järvi, T. T.; Moseler, M.; Möller, K.-C.; Dehnen, S. (2013). Quaternary Diamond-Like Chalcogenidometalate Networks as Efficient Anode Material in Lithium-Ion Batteries. Advanced Functional Materials, 23 (46), 5693–5699. doi:10.1002/adfm.201301025