Prof. Dr. Jan Cermak
- Head of institute IMK-ASF (acting)
- room: 024 (Süd), 107 (Nord)
20.40 (Süd), 435 (Nord) - phone: +49 721 608-24510
+49 721 608-43675 - jan cermak ∂ kit edu
- www.imk-asf.kit.edu/english/staff_2647.php
Also at the Institute of Meteorology and Climate Research (IMK-ASF)
ORCID (biography and publications): 0000-0002-4240-595X
ResearcherID: B-7844-2009
Research Group Web Pages
Research
My main research interest is the role of aerosol and clouds in the climate system, which I try to better understand using remote-sensing approaches. At KIT I am a member of the Institute of Photogrammetry and Remote Sensing (IPF) and the Institute of Meteorology and Climate Research (IMK-ASF). Recent research areas include:
- Remote sensing of clouds/fog and aerosols
- Low clouds and fog, and interactions with the land surface
- Aerosol-cloud/fog-climate interactions
- Environment - society interactions (e.g. air pollution/aerosol)
- Machine learning
Information for the public:
- Podcast "Nebel und niedrige Wolken und ihre Rolle im Klimasystem" (in German)
- Public lecture video "Heiter bis wolkig - die Erderwärmung und die Wolken, Einblicke aus dem Weltall" (in German, EFFEKTE series, from 41:30)
- Kids' lecture video "Satelliten & Co. - unsere Welt von oben" (in German)
Education and Employment
- Since 9/2016: Professor of Geophysical Remote Sensing at Karlsruhe Institute of Technology (KIT)
- 10/2011-8/2016: Professor of Climatology at Ruhr-Universität Bochum
- 7 - 9/2012: Visiting scientist, National Oceanic and Atmospheric Administration (NOAA), Boulder, CO, USA
- 2008 - 2011: Post-doctoral researcher at ETH Zurich, Switzerland
- 8 - 10/2007: Visiting scientist, Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA
- 2006 - 2008: Lecturer at Philipps-Universität Marburg, Germany
- 2003 - 2006: PhD research, Laboratory for Climatology and Remote Sensing, Philipps-Universität Marburg, Germany
- 2002 - 2003: Postgraduate research at the University of Sheffield, UK
- 2001 - 2002: MA Environment and Development, King's College London (KCL) and School of Oriental and African Studies (SOAS), London, UK
- 1997 - 2001: Studies of Geography, Botany, Political Science and Soil Science, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, Germany
Peer-reviewed Publications
2024
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Desboeufs, 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-24-1525-2024
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Dietel, 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:10.1029/2024GL110325
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Obrecht, L.; Göttsche, F.-M.; Senn, J. A.; Cermak, J. (2024). Mapping Changes in Fractional Vegetation Cover on the Namib Gravel Plains with Satellite-Retrieved Land Surface Emissivity Data. Remote Sensing, 16 (1), Art.-Nr.: 159. doi:10.3390/rs16010159
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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
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Wilson 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-24-8295-2024
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Yang, Y.; Cermak, J.; Chen, X.; Chen, Y.; Hou, X. (2024). High-Resolution PM
Estimation Using Satellite Data and Model-Agnostic Meta-Learning. Remote Sensing, 16 (13), Art.-Nr.: 2498. doi:10.3390/rs16132498 -
Zipfel, 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
2023
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Andersen, 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
2022
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Andersen, 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:10.1029/2021GL096498
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Christensen, M. W.; Gettelman, A.; Cermak, J.; Dagan, G.; Diamond, M.; Douglas, A.; Feingold, G.; Glassmeier, F.; Goren, T.; Grosvenor, D. P.; Gryspeerdt, E.; Kahn, R.; Li, Z.; Ma, P.-L.; Malavelle, F.; McCoy, I. L.; McCoy, D. T.; McFarquhar, G.; Mülmenstädt, J.; Pal, S.; Possner, A.; Povey, A.; Quaas, J.; Rosenfeld, D.; Schmidt, A.; Schrödner, R.; Sorooshian, A.; Stier, P.; Toll, V.; Watson-Parris, D.; Wood, R.; Yang, M.; Yuan, T. (2022). Opportunistic experiments to constrain aerosol effective radiative forcing. Atmospheric chemistry and physics, 22 (1), 641–674. doi:10.5194/acp-22-641-2022
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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
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Göttsche, F.-M.; Cermak, J.; Marais, E.; Maggs-Kölling, G. (2022). Validation of Satellite-Retrieved Land SurfaceTemperature (LST) Productsat Gobabeb, Namibia. Journal, 69, 43–61.
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Jahani, 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-22-1483-2022
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Pauli, 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.4272
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Pauli, E.; Cermak, J.; Teuling, A. J. (2022). Enhanced nighttime fog and low stratus occurrence over the Landes forest, France. Geophysical research letters, 49 (5), e2021GL097058. doi:10.1029/2021GL097058
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Vogt, R.; Marais, E.; Maggs-Kölling, G.; Göttsche, F.-M.; Cermak, J.; Seely, M. K. (2022). A Decade of Solar and Terrestrial Radiation Monitoring at Gobabeb for BSRN. Journal, 69, 141–157.
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Yang, Y.; Cermak, J.; Yang, K.; Pauli, E.; Chen, Y. (2022). Land Use and Land Cover Influence on Sentinel-2 Aerosol Optical Depth below City Scales over Beijing. Remote Sensing, 14 (18), Art.-Nr.: 4677. doi:10.3390/rs14184677
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Zipfel, 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
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
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Yang, Y.; Chen, Y.; Yang, K.; Cermak, J.; Chen, Y. (2021). High-resolution aerosol retrieval over urban areas using sentinel-2 data. Atmospheric research, 264, Art.-Nr.: 105829. doi:10.1016/j.atmosres.2021.105829
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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Pauli, 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.2020.125451
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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
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Westerhuis, S.; Fuhrer, O.; Cermak, J.; Eugster, W. (2020). Identifying the key challenges for fog and low stratus forecasting in complex terrain. Quarterly journal of the Royal Meteorological Society, 146 (732), 3347–3367. doi:10.1002/qj.3849
2019
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Andersen, 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-19-4383-2019
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Martin, M.; Ghent, D.; Pires, A.; Göttsche, F.-M.; Cermak, J.; Remedios, J. (2019). Comprehensive In Situ Validation of Five Satellite Land Surface Temperature Data Sets over Multiple Stations and Years. Remote sensing, 11 (5), Article No.479. doi:10.3390/rs11050479
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Mayer, M.; Kutterer, H.; Cermak, J. (2019). Forschungsorientiert und kompetent – Ausgestaltung von hochschulischen Veränderungsprozessen am Beispiel der Lehreinheit »Geodäsie und Geoinformatik« am Karlsruher Institut für Technologie (KIT). ZfV, 144 (4), 206–222. doi:10.12902/zfv-0273-2019
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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
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Wiegner, M.; Mattis, I.; Pattantyús-Ábrahám, M.; Bravo-Aranda, J. A.; Poltera, Y.; Haefele, A.; Hervo, M.; Görsdorf, U.; Leinweber, R.; Gasteiger, J.; Haeffelin, M.; Wagner, F.; Cermak, J.; Komínková, K.; Brettle, M.; Münkel, C.; Pönitz, K. (2019). Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015. Atmospheric measurement techniques, 12 (1), 471–490. doi:10.5194/amt-12-471-2019
2018
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Andersen, 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-11-5461-2018
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Cermak, J. (2018). Fog and Low Cloud Frequency and Properties from Active-Sensor Satellite Data. Remote sensing, 10 (8), 1209. doi:10.3390/rs10081209
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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
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Grudzielanek, A. M.; Cermak, J. (2018). Temporal Patterns and Vertical Temperature Gradients in Micro-Scale Drainage Flow Observed Using Thermal Imaging. Atmosphere, 9 (12), Article: 498. doi:10.3390/atmos9120498
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Nilo, S. T.; Romano, F.; Cermak, J.; Cimini, D.; Ricciardelli, E.; Cersosimo, A.; Paola, F. D.; Gallucci, D.; Gentile, S.; Geraldi, E.; Larosa, S.; Ripepi, E.; Viggiano, M. (2018). Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel. Remote sensing, 10 (4), Art.Nr. 541. doi:10.3390/rs10040541
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Stirnberg, 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
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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Egli, S.; Thies, B.; Drönner, J.; Cermak, J.; Bendix, J. (2016). A 10 year fog and low stratus climatology for Europe based on Meteosat Second Generation data. Quarterly journal of the Royal Meteorological Society, 143 (702), 530–541. doi:10.1002/qj.2941
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Lehner, M.; Whiteman, C. D.; Hoch, S. W.; Crosman, E. T.; Jeglum, M. E.; Cherukuru, N. W.; Calhoun, R.; Adler, B.; Kalthoff, N.; Rotunno, R.; Horst, T. W.; Semmer, S.; Brown, W. O. J.; Oncley, S. P.; Vogt, R.; Grudzielanek, A. M.; Cermak, J.; Fonteyne, N. J.; Bernhofer, C.; Pitacco, A.; Klein, P. (2016). THE METCRAX II Field Experiment - A Study of Downslope Windstorm-Type Flows in Arizona’s Meteor Crater. Bulletin of the American Meteorological Society, 97 (2), 217–235. doi:10.1175/BAMS-D-14-00238.1
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Thies, B.; Nauss, T.; Reudenbach, C.; Cermak, J.; Bendix, J. (2016). Mean Number of Storm Days. Regional Assessment of Global Change Impacts - The Project GLOWA-Danube. Ed. : W. Mauser, 271–277, Springer International Publishing. doi:10.1007/978-3-319-16751-0_34
2015
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Andersen, 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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Flake, S.; Cermak, J.; Sprenger, S. (2015). Authentizität beim Lernen - Eine empirische Untersuchung zur Vermittlung des globalen Klimawandels im Geographieunterricht. Zeitschrift für Geographiedidaktik, 43 (3), 233–253.
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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
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Grudzielanek, A. M.; Cermak, J. (2015). Capturing Cold-Air Flow Using Thermal Imaging. Boundary layer meteorology, 157 (2), 321–332. doi:10.1007/s10546-015-0042-8
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Gultepe, I.; Zhou, B.; Milbrandt, J.; Bott; Li, Y.; Heymsfield, J.; Ferrier, B.; Ware, R.; Pavolonis, M.; Kuhn, T.; Gurka, J.; Liu, P.; Cermak, J. (2015). A review on ice fog measurements and modeling. Atmospheric research, 151, 2–19. doi:10.1016/j.atmosres.2014.04.014
2013
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Schaller, N.; Cermak, J.; Wild, M.; Knutti, R. (2013). The sensitivity of the modeled energy budget and hydrological cycle to CO2 and solar forcing. Earth System Dynamics, 4 (2), 253–266. doi:10.5194/esd-4-253-2013
2012
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Cermak, J. (2012). Low clouds and fog along the South-Western {\{}A{\}}frican coast — Satellite-based retrieval and spatial patterns. Atmospheric research, 116, 15–21. doi:10.1016/j.atmosres.2011.02.012
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Gultepe, I.; Bendix, J.; Klemm, O.; Eugster, W.; Cermak, J. (2012). Fog and Dew Observations and Modeling: Introduction. Pure and applied geophysics, 169 (5-6), 765–766. doi:10.1007/s00024-012-0471-y
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Leeuw, G. de; Kokhanovsky, A.; Cermak, J. (2012). Remote sensing of aerosols and clouds: Techniques and applications (editorial to special issue in Atmospheric Research). Atmospheric research, 113, 40–42. doi:10.1016/j.atmosres.2012.04.017
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Schulz, H. M.; Thies, B.; Cermak, J.; Bendix, J. (2012). 1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data. Atmospheric measurement techniques, 5 (10), 2469–2480. doi:10.5194/amt-5-2469-2012
2011
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Cermak, J.; Bendix, J. (2011). Detecting Ground Fog From Space - A Microphysics-Based Approach. International journal of remote sensing, 32 (12), 3345–3371. doi:10.1080/01431161003747505
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Haensler, A.; Cermak, J.; Hagemann, S.; Jacob, D. (2011). Will the southern African west coast fog be affected by future climate change? Results of an initial fog projection using a regional climate model. Erdkunde, 65 (3), 261–275. doi:10.3112/erdkunde.2011.03.04
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Merk, C.; Cermak, J.; Bendix, J. (2011). Retrieval of optical and microphysical cloud properties from Meteosat SEVIRI data at night -- a feasibility study based on radiative transfer calculations. Remote sensing letters, 2 (4), 357–366. doi:10.1080/01431161.2010.523023
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Schaller, N.; Mahlstein, I.; Cermak, J.; Knutti, R. (2011). Analyzing precipitation projections: A comparison of different approaches to climate model evaluation. Journal of geophysical research, 116, Art. Nr.: D10118. doi:10.1029/2010JD014963
2010
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Cermak, J.; Wild, M.; Knutti, R.; Mishchenko, M. I.; Heidinger, A. K. (2010). Consistency of global satellite-derived aerosol and cloud data sets with recent brightening observations. Geophysical research letters, 37 (21), Art. Nr.: L21704. doi:10.1029/2010GL044632
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Knutti, R.; Furrer, R.; Tebaldi, C.; Cermak, J.; Meehl, G. A. (2010). Challenges in Combining Projections from Multiple Climate Models. Journal of climate, 23 (10), 2739–2758. doi:10.1175/2009JCLI3361.1
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Maetzler, C.; Rosenkranz, P. W.; Cermak, J. (2010). Microwave absorption of supercooled clouds and implications for the dielectric properties of water. Journal of geophysical research, 115, Art. Nr.: D23208. doi:10.1029/2010JD014283
2009
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Bendix, J.; Trachte, K.; Cermak, J.; Rollenbeck, R.; Nauß, T. (2009). Formation of Convective Clouds at the Foothills of the Tropical Eastern Andes (South Ecuador). Journal of applied meteorology and climatology, 48 (8), 1682–1695. doi:10.1175/2009JAMC2078.1
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Cermak, J.; Knutti, R. (2009). Beijing Olympics as an aerosol field experiment. Geophysical research letters, 36 (10), Art. Nr.: L10806. doi:10.1029/2009GL038572
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Cermak, J.; Eastman, R. M.; Bendix, J.; Warren, S. G. (2009). European climatology of fog and low stratus based on geostationary satellite observations. Quarterly journal of the Royal Meteorological Society, 135 (645), 2125–2130. doi:10.1002/qj.503
2008
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Cermak, J.; Bendix, J. (2008). A novel approach to fog/low stratus detection using Meteosat 8 data. Atmospheric research, 87 (3-4), 279–292. doi:10.1016/j.atmosres.2007.11.009
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Cermak, J.; Bendix, J.; Dobbermann, M. (2008). FMet-an integrated framework for Meteosat data processing for operational scientific applications. Computers & geosciences, 34 (11), 1638–1644. doi:10.1016/j.cageo.2007.12.006
2007
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Cermak, J.; Bendix, J. (2007). Dynamical Nighttime Fog/Low Stratus Detection Based on Meteosat SEVIRI Data: A Feasibility Study. Pure and applied geophysics, 164 (6-7), 1179–1192. doi:10.1007/s00024-007-0213-8
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Gultepe, I.; Tardif, R.; Michaelides, S. C.; Cermak, J.; Bott, A.; Bendix, J.; M{\"{u}}ller, M. D.; Pagowski, M.; Hansen, B.; Ellrod, G.; Jacobs, W.; Toth, G.; Cober, S. G. (2007). Fog Research: A Review of Past Achievements and Future Perspectives. Pure and applied geophysics, 164 (6-7), 1121–1159. doi:10.1007/s00024-007-0211-x
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Miehe, G.; Schluetz, F.; Miehe, S.; Opgenoorth, L.; Cermak, J.; Samiya, R.; Jaeger, E. J.; Wesche, K. (2007). Mountain forest islands and Holocene environmental changes in Central Asia: A case study from the southern Gobi Altay, Mongolia. Palaeogeography, palaeoclimatology, palaeoecology, 250 (1-4), 150–166. doi:10.1016/j.palaeo.2007.03.022
2006
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Bendix, J.; Rollenbeck, R.; G{\"{o}}ttlicher, D.; Cermak, J. (2006). Cloud occurrence and cloud properties in Ecuador. Climate research, 30 (2), 133–147. doi:10.3354/cr030133
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Bendix, J.; Thies, B.; Nauss, T.; Cermak, J. (2006). A feasibility study of daytime fog and low stratus detection with TERRA/AQUA-MODIS over land. Meteorological applications, 13 (2), 111–125. doi:10.1017/s1350482706002180
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Cermak, J.; Schneebeli, M.; Nowak, D.; Vuilleumier, L.; Bendix, J. (2006). Characterization of Low Clouds With Satellite and Ground-Based Remote Sensing Systems. Meteorologische Zeitschrift, 15 (1), 65–72. doi:10.1127/0941-2948/2006/0100
2005
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Bendix, J.; Thies, B.; Cermak, J.; Nauss, T. (2005). Ground Fog Detection from Space Based on MODIS Daytime Data - A Feasibility Study. Weather and forecasting, 20 (6), 989–1005. doi:10.1175/waf886.1
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Cermak, J.; Opgenoorth, L.; Miehe, G. (2005). Isolated Mountain Forests in Central Asian Deserts: A Case Study from the Govi Altay, Mongolia. Mountain Ecosystems: Studies in Treeline Ecology. Ed. : Prof. Dr. G. Broll, 253–273, Springer-Verlag. doi:10.1007/3-540-27365-4_11
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Nauss, T.; Cermak, J.; Kokhanovsky, A.; Reudenbach, C.; Bendix, J. (2005). Satellite based retrieval of cloud properties and their use in rainfall retrievals and fog detection. Photogrammetrie, Fernerkundung, Geoinformation, 3, 209–218.
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Opgenoorth, L.; Cermak, J.; Miehe, G.; Schoch, W. (2005). Isolated Birch and Willow Forests in the Govi Gurvan Sayhan National Park. Erforschung biologischer Ressourcen der Mongolei, 9, 247–258.
2003
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Cermak, J.; Opgenoorth, L. (2003). Dynamics of Forest Islands in the Govi Altay: Microclimate and Human Impact. Berliner paläobiologische Abhandlungen, 2, 28–28.