Dr. Hendrik Andersen

Dr. Hendrik Andersen

  • Karlsruhe Institute of Technology
    IMK-ASF
    P.O. Box 3640
    76021 Karlsruhe

further information HA

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"

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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.

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Projects

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Courses Taught

  • Geoecological climate change impacts (seminar)
  • Data analysis for geoscience remote sensing projects (lecture, 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)

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Further Profiles

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List of publications


2022
Attribution of Observed Recent Decrease in Low Clouds Over the Northeastern Pacific to Cloud‐Controlling Factors
Andersen, H.; Cermak, J.; Zipfel, L.; Myers, T. A.
2022. Geophysical research letters, 49 (3), e2021GL096498. doi:10.1029/2021GL096498
Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations
Zipfel, L.; Andersen, H.; Cermak, J.
2022. Atmosphere, 13 (4), Art.-Nr.: 586. doi:10.3390/atmos13040586
A satellite‐based climatology of fog and low stratus formation and dissipation times in central Europe
Pauli, E.; Cermak, J.; Andersen, H.
2022. Quarterly Journal of the Royal Meteorological Society, 148 (744), 1439–1454. doi:10.1002/qj.4272
Longwave radiative effect of the cloud–aerosol transition zone based on CERES observations
Jahani, B.; Andersen, H.; Calbó, J.; González, J.-A.; Cermak, J.
2022. Atmospheric chemistry and physics, 22 (2), 1483–1494. doi:10.5194/acp-22-1483-2022
2021
Assessment of COVID-19 effects on satellite-observed aerosol loading over China with machine learning
Andersen, H.; Cermak, J.; Stirnberg, R.; Fuchs, J.; Kim, M.; Pauli, E.
2021. Tellus / B, 73 (1), 1–13. doi:10.1080/16000889.2021.1971925
Meteorology-driven variability of air pollution (PM₁) revealed with explainable machine learning
Stirnberg, R.; Cermak, J.; Kotthaus, S.; Haeffelin, M.; Andersen, H.; Fuchs, J.; Kim, M.; Petit, J.-E.; Favez, O.
2021. Atmospheric chemistry and physics, 21 (5), 3919–3948. doi:10.5194/acp-21-3919-2021
2020
Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning
Stirnberg, R.; Cermak, J.; Fuchs, J.; Andersen, H.
2020. Journal of geophysical research / D, 125 (4), Art.e2019JD031380. doi:10.1029/2019JD031380
Determinants of fog and low stratus occurrence in continental central Europe – a quantitative satellite-based evaluation
Pauli, E.; Andersen, H.; Bendix, J.; Cermak, J.; Egli, S.
2020. Journal of hydrology, 591, Art.-Nr.: 125451. doi:10.1016/j.jhydrol.2020.125451
A New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using Machine Learning and Meteosat SEVIRI Data
Kim, M.; Cermak, J.; Andersen, H.; Fuchs, J.; Stirnberg, R.
2020. Remote sensing, 12 (21), Article: 3475. doi:10.3390/rs12213475
Synoptic-scale controls of fog and low-cloud variability in the Namib Desert
Andersen, H.; Cermak, J.; Fuchs, J.; Knippertz, P.; Gaetani, M.; Quinting, J.; Sippel, S.; Vogt, R.
2020. Atmospheric chemistry and physics, 20 (6), 3415–3438. doi:10.5194/acp-20-3415-2020
2019
Probing the fog life-cycles in the Namib desert
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. Bulletin of the American Meteorological Society, 100 (12), 2491–2507. doi:10.1175/BAMS-D-18-0142.1
Spatiotemporal dynamics of fog and low clouds in the Namib unveiled with ground- and space-based observations
Andersen, H.; Cermak, J.; Solodovnik, I.; Lelli, L.; Vogt, R.
2019. Atmospheric chemistry and physics, 19 (7), 4383–4392. doi:10.5194/acp-19-4383-2019
The observed diurnal cycle of low-level stratus clouds over southern West Africa: a case study
Babić, K.; Adler, B.; Kalthoff, N.; Andersen, H.; Dione, C.; Lohou, F.; Lothon, M.; Pedruzo-Bagazgoitia, X.
2019. Atmospheric chemistry and physics, 19 (2), 1281–1299. doi:10.5194/acp-19-1281-2019
Nocturnal low-level clouds in the atmospheric boundary layer over southern West Africa: an observation-based analysis of conditions and processes
Adler, B.; Babić, K.; Kalthoff, N.; Lohou, F.; Lothon, M.; Dione, C.; Pedruzo-Bagazgoitia, X.; Andersen, H.
2019. Atmospheric chemistry and physics, 19 (1), 663–681. doi:10.5194/acp-19-663-2019
2018
Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning
Fuchs, J.; Cermak, J.; Andersen, H.
2018. Atmospheric chemistry and physics, 18 (22), 16537–16552. doi:10.5194/acp-18-16537-2018
First fully diurnal fog and low cloud satellite detection reveals life cycle in the Namib
Andersen, H.; Cermak, J.
2018. Atmospheric measurement techniques, 11 (10), 5461–5470. doi:10.5194/amt-11-5461-2018
An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10
Stirnberg, R.; Cermak, J.; Andersen, H.
2018. Remote sensing, 10 (9), Art.-Nr.: 1353/1–17. doi:10.3390/rs10091353
2017
On the Influence of Air Mass Origin on Low-Cloud Properties in the Southeast Atlantic
Fuchs, J.; Cermak, J.; Andersen, H.; Hollmann, R.; Schwarz, K.
2017. Journal of geophysical research / Atmospheres. doi:10.1002/2017JD027184
Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks
Andersen, H.; Cermak, J.; Fuchs, J.; Knutti, R.; Lohmann, U.
2017. Atmospheric chemistry and physics, 17 (15), 9535–9546. doi:10.5194/acp-17-9535-2017
Mapping the Twilight Zone : What We Are Missing between Clouds and Aerosols
Schwarz, K.; Cermak, J.; Fuchs, J.; Andersen, H.
2017. Remote sensing, 9 (6), 577. doi:10.3390/rs9060577
2016
Global observations of cloud-sensitive aerosol loadings in low-level marine clouds
Andersen, H.; Cermak, J.; Fuchs, J.; Schwarz, K.
2016. Journal of geophysical research / Atmospheres, 121 (21), 12,936–12,946. doi:10.1002/2016JD025614
2015
How thermodynamic environments control stratocumulus microphysics and interactions with aerosols
Andersen, H.; Cermak, J.
2015. Environmental research letters, 10 (2), Art. Nr.: 024004. doi:10.1088/1748-9326/10/2/024004