Prof. Dr. Jan Cermak
- Head of institute IMK-ASF (acting)
024 (Süd), 107 (Nord)
20.40 (Süd), 435 (Nord)
+49 721 608-24510
+49 721 608-43675
jan cermak ∂does-not-exist.kit edu
Karlsruhe Institute of Technology
IMK-ASF
P.O. Box 3640
76021 Karlsruhe
Also at the Institute of Photogrammetry and Remote Sensing (IPF)
ORCID (biography and publications): 0000-0002-4240-595X
ResearcherID: B-7844-2009
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
Publications
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2024Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans
Dietel, B.; Andersen, H.; Cermak, J.; Stier, P.; Hoose, C.
2024. Geophysical Research Letters, 51 (20). doi:10.1029/2024GL110325An analysis of fog and low stratus life‐cycle regimes over central Europe
Pauli, E.; Cermak, J.; Andersen, H.; Fuchs, J.
2024. Quarterly Journal of the Royal Meteorological Society, 150 (761), 2382–2396. doi:10.1002/qj.4714High-Resolution PM
Yang, Y.; Cermak, J.; Chen, X.; Chen, Y.; Hou, X.
2024. Remote Sensing, 16 (13), Art.-Nr.: 2498. doi:10.3390/rs16132498A systematic evaluation of high-cloud controlling factors
Wilson Kemsley, S.; Ceppi, P.; Andersen, H.; Cermak, J.; Stier, P.; Nowack, P.
2024. Atmospheric Chemistry and Physics, 24 (14), 8295–8316. doi:10.5194/acp-24-8295-2024How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning
Zipfel, L.; Andersen, H.; Grosvenor, D. P.; Cermak, J.
2024. Atmosphere, 15 (5), Art.-Nr.: 596. doi:10.3390/atmos15050596Fractional solubility of iron in mineral dust aerosols over coastal Namibia: a link to marine biogenic emissions?
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. Atmospheric Chemistry and Physics, 24 (2), 1525 – 1541. doi:10.5194/acp-24-1525-2024Mapping Changes in Fractional Vegetation Cover on the Namib Gravel Plains with Satellite-Retrieved Land Surface Emissivity Data
Obrecht, L.; Göttsche, F.-M.; Senn, J. A.; Cermak, J.
2024. Remote Sensing, 16 (1), Art.-Nr.: 159. doi:10.3390/rs16010159 -
2023Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations
Andersen, H.; Cermak, J.; Douglas, A.; Myers, T. A.; Nowack, P.; Stier, P.; Wall, C. J.; Wilson Kemsley, S.
2023. Atmospheric Chemistry and Physics, 23 (18), 10775 – 10794. doi:10.5194/acp-23-10775-2023 -
2022Enhanced nighttime fog and low stratus occurrence over the Landes forest, France
Pauli, E.; Cermak, J.; Teuling, A. J.
2022. Geophysical research letters, 49 (5), e2021GL097058. doi:10.1029/2021GL097058Attribution 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:10.1029/2021GL096498A Decade of Solar and Terrestrial Radiation Monitoring at Gobabeb for BSRN
Vogt, R.; Marais, E.; Maggs-Kölling, G.; Göttsche, F.-M.; Cermak, J.; Seely, M. K.
2022. Journal, 69, 141–157Validation of Satellite-Retrieved Land SurfaceTemperature (LST) Productsat Gobabeb, Namibia
Göttsche, F.-M.; Cermak, J.; Marais, E.; Maggs-Kölling, G.
2022. Journal, 69, 43–61Land Use and Land Cover Influence on Sentinel-2 Aerosol Optical Depth below City Scales over Beijing
Yang, Y.; Cermak, J.; Yang, K.; Pauli, E.; Chen, Y.
2022. Remote Sensing, 14 (18), Art.-Nr.: 4677. doi:10.3390/rs14184677High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds
Fuchs, J.; Andersen, H.; Cermak, J.; Pauli, E.; Roebeling, R.
2022. Atmospheric Measurement Techniques, 15 (14), 4257–4270. doi:10.5194/amt-15-4257-2022Machine-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/atmos13040586A 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.4272Longwave 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-22-1483-2022Opportunistic experiments to constrain aerosol effective radiative forcing
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. Atmospheric chemistry and physics, 22 (1), 641–674. doi:10.5194/acp-22-641-2022 -
2021High-resolution aerosol retrieval over urban areas using sentinel-2 data
Yang, Y.; Chen, Y.; Yang, K.; Cermak, J.; Chen, Y.
2021. Atmospheric research, 264, Art.-Nr.: 105829. doi:10.1016/j.atmosres.2021.105829Assessment 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:10.1080/16000889.2021.1971925Imaging Techniques
Cermak, J.; Trigo, I. F.; Fuchs, J.
2021. Springer Handbook of Atmospheric Measurements. Hrsg.: T. Foken, Seite 1175–1188, Springer International Publishing. doi:10.1007/978-3-030-52171-4_42Meteorology-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 -
2020Identifying the key challenges for fog and low stratus forecasting in complex terrain
Westerhuis, S.; Fuhrer, O.; Cermak, J.; Eugster, W.
2020. Quarterly journal of the Royal Meteorological Society, 146 (732), 3347–3367. doi:10.1002/qj.3849Mapping 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:10.1029/2019JD031380Determinants 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.2020.125451A 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/rs12213475Synoptic-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 -
2019Forschungsorientiert und kompetent – Ausgestaltung von hochschulischen Veränderungsprozessen am Beispiel der Lehreinheit »Geodäsie und Geoinformatik« am Karlsruher Institut für Technologie (KIT)
Mayer, M.; Kutterer, H.; Cermak, J.
2019. ZfV, 144 (4), 206–222. doi:10.12902/zfv-0273-2019Probing 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-18-0142.1Spatiotemporal 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-19-4383-2019Comprehensive In Situ Validation of Five Satellite Land Surface Temperature Data Sets over Multiple Stations and Years
Martin, M.; Ghent, D.; Pires, A.; Göttsche, F.-M.; Cermak, J.; Remedios, J.
2019. Remote sensing, 11 (5), Article No.479. doi:10.3390/rs11050479Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015
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. Atmospheric measurement techniques, 12 (1), 471–490. doi:10.5194/amt-12-471-2019 -
2018Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel
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. Remote sensing, 10 (4), Art.Nr. 541. doi:10.3390/rs10040541Temporal Patterns and Vertical Temperature Gradients in Micro-Scale Drainage Flow Observed Using Thermal Imaging
Grudzielanek, A. M.; Cermak, J.
2018. Atmosphere, 9 (12), Article: 498. doi:10.3390/atmos9120498Building 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-18-16537-2018First 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-11-5461-2018An 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/rs10091353Fog and Low Cloud Frequency and Properties from Active-Sensor Satellite Data
Cermak, J.
2018. Remote sensing, 10 (8), 1209. doi:10.3390/rs10081209 -
2017On 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:10.1002/2017JD027184Understanding 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-17-9535-2017Mapping 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 -
2016Mean Number of Storm Days
Thies, B.; Nauss, T.; Reudenbach, C.; Cermak, J.; Bendix, J.
2016. 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_34A 10 year fog and low stratus climatology for Europe based on Meteosat Second Generation data
Egli, S.; Thies, B.; Drönner, J.; Cermak, J.; Bendix, J.
2016. Quarterly journal of the Royal Meteorological Society, 143 (702), 530–541. doi:10.1002/qj.2941Global 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:10.1002/2016JD025614THE METCRAX II Field Experiment - A Study of Downslope Windstorm-Type Flows in Arizona’s Meteor Crater
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. Bulletin of the American Meteorological Society, 97 (2), 217–235. doi:10.1175/BAMS-D-14-00238.1 -
2015A review on ice fog measurements and modeling
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. Atmospheric research, 151, 2–19. doi:10.1016/j.atmosres.2014.04.014Capturing Cold-Air Flow Using Thermal Imaging
Grudzielanek, A. M.; Cermak, J.
2015. Boundary layer meteorology, 157 (2), 321–332. doi:10.1007/s10546-015-0042-8Where Aerosols Become Clouds-Potential for Global Analysis Based on CALIPSO Data
Fuchs, J.; Cermak, J.
2015. Remote sensing, 7 (4), 4178–4190. doi:10.3390/rs70404178Authentizität beim Lernen - Eine empirische Untersuchung zur Vermittlung des globalen Klimawandels im Geographieunterricht
Flake, S.; Cermak, J.; Sprenger, S.
2015. Zeitschrift für Geographiedidaktik, 43 (3), 233–253How 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 -
2013The sensitivity of the modeled energy budget and hydrological cycle to CO2 and solar forcing
Schaller, N.; Cermak, J.; Wild, M.; Knutti, R.
2013. Earth System Dynamics, 4 (2), 253–266. doi:10.5194/esd-4-253-2013 -
20121 km fog and low stratus detection using pan-sharpened MSG SEVIRI data
Schulz, H. M.; Thies, B.; Cermak, J.; Bendix, J.
2012. Atmospheric measurement techniques, 5 (10), 2469–2480. doi:10.5194/amt-5-2469-2012Fog and Dew Observations and Modeling: Introduction
Gultepe, I.; Bendix, J.; Klemm, O.; Eugster, W.; Cermak, J.
2012. Pure and applied geophysics, 169 (5-6), 765–766. doi:10.1007/s00024-012-0471-yRemote sensing of aerosols and clouds: Techniques and applications (editorial to special issue in Atmospheric Research)
Leeuw, G. de; Kokhanovsky, A.; Cermak, J.
2012. Atmospheric research, 113, 40–42. doi:10.1016/j.atmosres.2012.04.017Low clouds and fog along the South-Western {\{}A{\}}frican coast — Satellite-based retrieval and spatial patterns
Cermak, J.
2012. Atmospheric research, 116, 15–21. doi:10.1016/j.atmosres.2011.02.012 -
2011Analyzing precipitation projections: A comparison of different approaches to climate model evaluation
Schaller, N.; Mahlstein, I.; Cermak, J.; Knutti, R.
2011. Journal of geophysical research, 116, Art. Nr.: D10118. doi:10.1029/2010JD014963Retrieval of optical and microphysical cloud properties from Meteosat SEVIRI data at night -- a feasibility study based on radiative transfer calculations
Merk, C.; Cermak, J.; Bendix, J.
2011. Remote sensing letters, 2 (4), 357–366. doi:10.1080/01431161.2010.523023Will the southern African west coast fog be affected by future climate change? Results of an initial fog projection using a regional climate model
Haensler, A.; Cermak, J.; Hagemann, S.; Jacob, D.
2011. Erdkunde, 65 (3), 261–275. doi:10.3112/erdkunde.2011.03.04Detecting Ground Fog From Space - A Microphysics-Based Approach
Cermak, J.; Bendix, J.
2011. International journal of remote sensing, 32 (12), 3345–3371. doi:10.1080/01431161003747505 -
2010Microwave absorption of supercooled clouds and implications for the dielectric properties of water
Maetzler, C.; Rosenkranz, P. W.; Cermak, J.
2010. Journal of geophysical research, 115, Art. Nr.: D23208. doi:10.1029/2010JD014283Challenges in Combining Projections from Multiple Climate Models
Knutti, R.; Furrer, R.; Tebaldi, C.; Cermak, J.; Meehl, G. A.
2010. Journal of climate, 23 (10), 2739–2758. doi:10.1175/2009JCLI3361.1Consistency of global satellite-derived aerosol and cloud data sets with recent brightening observations
Cermak, J.; Wild, M.; Knutti, R.; Mishchenko, M. I.; Heidinger, A. K.
2010. Geophysical research letters, 37 (21), Art. Nr.: L21704. doi:10.1029/2010GL044632 -
2009European climatology of fog and low stratus based on geostationary satellite observations
Cermak, J.; Eastman, R. M.; Bendix, J.; Warren, S. G.
2009. Quarterly journal of the Royal Meteorological Society, 135 (645), 2125–2130. doi:10.1002/qj.503Beijing Olympics as an aerosol field experiment
Cermak, J.; Knutti, R.
2009. Geophysical research letters, 36 (10), Art. Nr.: L10806. doi:10.1029/2009GL038572Formation of Convective Clouds at the Foothills of the Tropical Eastern Andes (South Ecuador)
Bendix, J.; Trachte, K.; Cermak, J.; Rollenbeck, R.; Nauß, T.
2009. Journal of applied meteorology and climatology, 48 (8), 1682–1695. doi:10.1175/2009JAMC2078.1 -
2008A novel approach to fog/low stratus detection using Meteosat 8 data
Cermak, J.; Bendix, J.
2008. Atmospheric research, 87 (3-4), 279–292. doi:10.1016/j.atmosres.2007.11.009FMet-an integrated framework for Meteosat data processing for operational scientific applications
Cermak, J.; Bendix, J.; Dobbermann, M.
2008. Computers & geosciences, 34 (11), 1638–1644. doi:10.1016/j.cageo.2007.12.006 -
2007Mountain forest islands and Holocene environmental changes in Central Asia: A case study from the southern Gobi Altay, Mongolia
Miehe, G.; Schluetz, F.; Miehe, S.; Opgenoorth, L.; Cermak, J.; Samiya, R.; Jaeger, E. J.; Wesche, K.
2007. Palaeogeography, palaeoclimatology, palaeoecology, 250 (1-4), 150–166. doi:10.1016/j.palaeo.2007.03.022Fog Research: A Review of Past Achievements and Future Perspectives
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. Pure and applied geophysics, 164 (6-7), 1121–1159. doi:10.1007/s00024-007-0211-xDynamical Nighttime Fog/Low Stratus Detection Based on Meteosat SEVIRI Data: A Feasibility Study
Cermak, J.; Bendix, J.
2007. Pure and applied geophysics, 164 (6-7), 1179–1192. doi:10.1007/s00024-007-0213-8 -
2006SOFOS - a new Satellite-based Operational Fog Observation Scheme. PhD dissertation
Cermak, J.
2006. MarburgSOFOS - a new Satellite-based Operational Fog Observation Scheme
Cermak, J.
2006. Marburger Geograph. GesCharacterization of Low Clouds With Satellite and Ground-Based Remote Sensing Systems
Cermak, J.; Schneebeli, M.; Nowak, D.; Vuilleumier, L.; Bendix, J.
2006. Meteorologische Zeitschrift, 15 (1), 65–72. doi:10.1127/0941-2948/2006/0100A feasibility study of daytime fog and low stratus detection with TERRA/AQUA-MODIS over land
Bendix, J.; Thies, B.; Nauss, T.; Cermak, J.
2006. Meteorological applications, 13 (2), 111–125. doi:10.1017/s1350482706002180Cloud occurrence and cloud properties in Ecuador
Bendix, J.; Rollenbeck, R.; G{\"{o}}ttlicher, D.; Cermak, J.
2006. Climate research, 30 (2), 133–147. doi:10.3354/cr030133 -
2005Isolated Birch and Willow Forests in the Govi Gurvan Sayhan National Park
Opgenoorth, L.; Cermak, J.; Miehe, G.; Schoch, W.
2005. Erforschung biologischer Ressourcen der Mongolei, 9, 247–258Satellite based retrieval of cloud properties and their use in rainfall retrievals and fog detection
Nauss, T.; Cermak, J.; Kokhanovsky, A.; Reudenbach, C.; Bendix, J.
2005. Photogrammetrie, Fernerkundung, Geoinformation, 3, 209–218Isolated Mountain Forests in Central Asian Deserts: A Case Study from the Govi Altay, Mongolia
Cermak, J.; Opgenoorth, L.; Miehe, G.
2005. Mountain Ecosystems: Studies in Treeline Ecology. Ed. : Prof. Dr. G. Broll, 253–273, Springer-Verlag. doi:10.1007/3-540-27365-4_11Ground Fog Detection from Space Based on MODIS Daytime Data - A Feasibility Study
Bendix, J.; Thies, B.; Cermak, J.; Nauss, T.
2005. Weather and forecasting, 20 (6), 989–1005. doi:10.1175/waf886.1 -
2003Dynamics of Forest Islands in the Govi Altay: Microclimate and Human Impact
Cermak, J.; Opgenoorth, L.
2003. Berliner paläobiologische Abhandlungen, 2, 28–28