Dr. Hendrik Andersen
- Co-Group Leader
- room: 108
CN 435 - phone: +49 721 608-26550
+49 721 608-41361 - hendrik andersen ∂does-not-exist.kit edu
ORCID (Biographie und Publikationen)
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) |
| 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 currently try advance the scientific understanding of patterns and processes of fog and low clouds in the Namib desert and adjacent regions. |
Projects
- GEOPAC: A geographical perspective on aerosol-cloud interactions
- NaFoLiCA: Namib Fog Life Cycle Analysis
Courses Taught
- 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. PhD 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