Global Assessment of the Cloud-Aerosol Transition Zone Using CALIPSO
Ruiz de Morales, J.; Calbó, J.; González, J.-A.; Andersen, H.; Cermak, J.; Fuchs, J.; Sola, Y.
2026. Advances in Atmospheric Sciences, 43 (2), 321–335. doi:10.1007/s00376-025-5052-y

Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project
Riipinen, I.; Talvinen, S.; Chassaing, A.; Georgakaki, P.; Li, X.; García-Pando, C. P.; Bergman, T.; Kommula, S. M.; Proske, U.; Gkouvousis, A.; Tsimpidi, A. P.; Chatziparaschos, M.; Neuberger, A.; Karydis, V. A.; Calderón, S. M.; Romakkaniemi, S.; Partridge, D. G.; Khadir, T.; Dada, L.; van Noije, T.; Decesari, S.; Seland, Ø.; Zieger, P.; Bender, F.; Carslaw, K.; Cermak, J.; Costa-Surós, M.; Gonçalves Ageitos, M.; Gramlich, Y.; Haugvaldstad, O. W.; Holopainen, E.; Hoose, C.; Jorba, O.; Kakavas, S.; Kanakidou, M.; Kokkola, H.; Krejci, R.; Kühn, T.; Kulmala, M.; Le Sager, P.; Makkonen, R.; Manavi, S. E. I.; Mentel, T. F.; Milousis, A.; Myriokefalitakis, S.; Nenes, A.; Nieminen, T.; Pandis, S. N.; Patoulias, D.; Petäjä, T.; Quaas, J.; Regayre, L.; Scholz, S. M. C.; Schulz, M.; Skyllakou, K.; Sousse, R.; Stier, P.; Thomas, M. A.; Villinger, J. T.; Virtanen, A.; Wyser, K.; Ekman, A. M. L.
2026. Tellus B: Chemical and Physical Meteorology, 78 (1), 1–66. doi:10.16993/tellusb.1883

Evaluation of Global Climate and Storm-Resolving Model Representations of Mixed-Phase Clouds and Their Hemispheric Contrasts
Bruno, O.; Shaw, J. K.; Storelvmo, T.; Hoose, C.
2026. Atmosphere, 17 (2), 156. doi:10.3390/atmos17020156

Cloud base height determines fog occurrence patterns in the Namib Desert
Malik, D.; Andersen, H.; Cermak, J.; Vogt, R.; Adler, B.
2026. Atmospheric Chemistry and Physics, 26 (1), 681–701. doi:10.5194/acp-26-681-2026

Global evaluation of high-resolution ECOSTRESS land surface temperature and emissivity products: Collection 1 versus Collection 2
Zhang, H.; Mahmood, A. N.; Hu, T.; Mallick, K.; Didry, Y.; Hitzelberger, P.; Szantoi, Z.; Pérez-Planells, L.; Göttsche, F. M.; Hulley, G. C.; Hook, S. J.
2025. Remote Sensing of Environment, 326, 114799. doi:10.1016/j.rse.2025.114799

Dust-driven droplet freezing explains cloud-top phase in the northern extratropics
Villanueva, D.; Stengel, M.; Hoose, C.; Bruno, O.; Jeggle, K.; Ansmann, A.; Lohmann, U.
2025. Science (New York, N.Y.), 389 (6759), 521 – 525. doi:10.1126/science.adt5354

Deep learning coupled with split window and temperature-emissivity separation (DL-SW-TES) method improves clear-sky high-resolution land surface temperature estimation
Zhang, H.; Hu, T.; Tang, B.-H.; Mallick, K.; Zheng, X.; Wang, M.; Olioso, A.; Rivalland, V.; Ghent, D.; Soszynska, A.; Szantoi, Z.; Pérez-Planells, L.; Göttsche, F. M.; Skoković, D.; Sobrino, J. A.
2025. ISPRS Journal of Photogrammetry and Remote Sensing, 225, 1–18. doi:10.1016/j.isprsjprs.2025.04.016

Comprehensive Evaluation of Eight Methods for Generating 1‐km Monthly Composite Hourly Land Surface Temperature in 2011 Under Clear Sky
Wang, D.; Zhan, W.; Wang, S.; Göttsche, F.-M.; Dong, P.; Liu, Z.; Wang, C.; Jiang, S.; Ji, Y.; Jiang, L.; Xu, Y.
2025. Journal of Geophysical Research: Atmospheres, 130 (9), e2024JD040986. doi:10.1029/2024JD040986

A robust framework for accurate land surface temperature retrieval: Integrating split-window into knowledge-guided machine learning approach
Cheng, Y.; Wu, H.; Li, Z.-L.; Göttsche, F.-M.; Zhang, X.; Li, X.; Zhang, H.; Li, Y.
2025. Remote Sensing of Environment, 318, Article no: 114609. doi:10.1016/j.rse.2025.114609

A satellite-based analysis of semi-direct effects of biomass burning aerosols on fog and low-cloud dissipation in the Namib Desert
Mass, A.; Andersen, H.; Cermak, J.; Formenti, P.; Pauli, E.; Quinting, J.
2025. Atmospheric Chemistry and Physics, 25 (1), 491–510. doi:10.5194/acp-25-491-2025

Classification of Fog Life‐Cycle Phases Using Ground‐Based and Satellite‐Based Observations
Pinilla, M. L.; Pauli, E.; Senn, J. A.; Cermak, J.
2025. Quarterly Journal of the Royal Meteorological Society. doi:10.1002/qj.70056

Improved satellite-scale land surface temperature components retrieval with hotspot effect correction and temperature difference constraints
Lu, Y.; Bian, Z.; Roujean, J.-L.; Li, H.; Göttsche, F. M.; Huang, Y.; Fan, T.; Cao, B.; Du, Y.; Xiao, Q.
2025. Remote Sensing of Environment, 326, Article no: 114794. doi:10.1016/j.rse.2025.114794

Algorithm for continual monitoring of fog based on geostationary satellite imagery
Jahani, B.; Karalus, S.; Fuchs, J.; Zech, T.; Zara, M.; Cermak, J.
2025. Atmospheric Measurement Techniques, 18 (8), 1927–1941. doi:10.5194/amt-18-1927-2025

Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data
Götz, M.; Wessel, E.; Çayoğlu, U.; Jahani, B.; Debus, C.; Cermak, J.; Streit, A.
2025. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 10674–10683. doi:10.1109/JSTARS.2025.3557931

Temporal Normalization of UAV Thermal Infrared Data from Long-Duration Flights
Wang, Z.; Zhou, J.; Tang, W.; Zhou, X.; Zhou, B.; Göttsche, F.-M.; Liu, S.
2025. IEEE Transactions on Geoscience and Remote Sensing, 63, 1–22. doi:10.1109/TGRS.2025.3553563

Temporal stability of a new 40-year daily AVHRR land surface temperature dataset for the pan-Arctic region
Dupuis, S.; Göttsche, F.-M.; Wunderle, S.
2025. The Cryosphere, 18 (12), 6027–6059. doi:10.5194/tc-18-6027-2024

Analysis of the cloud fraction adjustment to aerosols and its dependence on meteorological controls using explainable machine learning
Jia, Y.; Andersen, H.; Cermak, J.
2025. Atmospheric Chemistry and Physics, 24 (22), 13025–13045. doi:10.5194/acp-24-13025-2024

A hybrid physics-based method for estimating land surface temperature using radiative transfer simulations and machine learning model from Sentinel-3A SLSTR observations
Dave, J. A.; Pandya, V.; Goettsche, F.-M.; Varchand, H. K.; Parmar, P. N.; Desai, D. D.; Kardani, D. B.; Shah, D. B.; Gujrati, A.; Pathak, V. N.; Trivedi, H. J.; Pandya, M. R.
2025. Earth Science Informatics, 18 (1), 150. doi:10.1007/s12145-024-01530-0

From Molecules to Droplets: The Fog and Aerosol Interaction Research Italy (FAIRARI) 2021/22 Campaign
Neuberger, A.; Decesari, S.; Aktypis, A.; Andersen, H.; Baumgardner, D.; Bianchi, F.; Busetto, M.; Cai, J.; Cermak, J.; Dipu, S.; Ekman, A.; Fuzzi, S.; Gramlich, Y.; Haslett, S. L.; Heikkinen, L.; Joutsensaari, J.; Kaltsonoudis, C.; Kangasluoma, J.; Krejci, R.; Lupi, A.; Marinoni, A.; Matrali, A.; Mattsson, F.; Mohr, C.; Nenes, A.; Paglione, M.; Pandis, S. N.; Patel, A.; Riipinen, I.; Rinaldi, M.; Steimer, S. S.; Stolzenburg, D.; Sulo, J.; Vasilakopoulou, C. N.; Zieger, P.
2025. Bulletin of the American Meteorological Society, 106 (1), E23–E50. doi:10.1175/BAMS-D-23-0166.1

Synoptic Scale Controls and Aerosol Effects on Fog and Low Stratus Life Cycle Processes in the Po Valley, Italy
Pauli, E.; Cermak, J.; Bendix, J.; Stier, P.
2024. Geophysical Research Letters, 51 (20), e2024GL111490. doi:10.1029/2024GL111490

Combined 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:10.1029/2024GL110325

Spatial Downscaling Frameworks for Satellite Based Land Surface Temperature to Support Permafrost Modelling
Dupuis, S.; Wunderle, S.; Göttsche, F.-M.
2024. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athen, 7th-12th July 2024, 209 – 212, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS53475.2024.10641241

Investigation and validation of two all-weather land surface temperature products with in-situ measurements
Meng, Y.; Zhou, J.; Göttsche, F.-M.; Tang, W.; Martins, J.; Perez-Planells, L.; Ma, J.; Wang, Z.
2024. Geo-spatial Information Science, 27 (3), 670–682. doi:10.1080/10095020.2023.2255037

An 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.4714

2022 CEOS International Thermal Infrared Radiometer Comparison: Part I: Laboratory Comparison of Radiometers and Blackbodies
Yamada, Y.; Harris, S.; Hayes, M.; Simpson, R.; Wimmer, W.; Holmes, R.; Nightingale, T.; Lee, A.; Jepsen, N.; Morgan, N.; Göttsche, F.-M.; Niclòs, R.; Perelló, M.; Donlon, C.; Fox, N.
2024. Journal of Atmospheric and Oceanic Technology, 41 (3), 295–307. doi:10.1175/JTECH-D-23-0059.1

2022 CEOS International Thermal Infrared Radiometer Comparison: Part II: Field Comparison of Radiometers
Yamada, Y.; Harris, S.; Wimmer, W.; Holmes, R.; Nightingale, T.; Lee, A.; Jepsen, N.; Morgan, N.; Göttsche, F.-M.; Niclòs, R.; Perelló, M.; Garcia-Santos, V.; Donlon, C.; Fox, N.
2024. Journal of Atmospheric and Oceanic Technology, 41 (3), 309–318. doi:10.1175/JTECH-D-23-0060.1

High-Resolution PM Estimation Using Satellite Data and Model-Agnostic Meta-Learning
Yang, Y.; Cermak, J.; Chen, X.; Chen, Y.; Hou, X.
2024. Remote Sensing, 16 (13), Art.-Nr.: 2498. doi:10.3390/rs16132498

A 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-24-8295-2024

Realistic representation of mixed-phase clouds increases projected climate warming
Hofer, S.; Hahn, L. C.; Shaw, J. K.; McGraw, Z. S.; Bruno, O.; Hellmuth, F.; Pietschnig, M.; Mostue, I. A.; David, R. O.; Carlsen, T.; Storelvmo, T.
2024. Communications Earth & Environment, 5 (1), Art.-Nr.: 390. doi:10.1038/s43247-024-01524-2

How 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/atmos15050596

Fractional 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-24-1525-2024

Mapping 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

Impact of a small-scale solar park on temperature and vegetation parameters obtained from Landsat 8
Hurduc, A.; Ermida, S. L.; Brito, M. C.; Goettsche, F.-M.; DaCamara, C.
2024. Renewable Energy, 221, Article no: 119827. doi:10.1016/j.renene.2023.119827

Combined modelling of annual and diurnal land surface temperature cycles
Pérez-Planells, L.; Göttsche, F.-M.
2023. Remote Sensing of Environment, 299, Article no: 113892. doi:10.1016/j.rse.2023.113892

An atmospheric influence correction method for longwave radiation-based in-situ land surface temperature
Ma, J.; Zhou, J.; Göttsche, F.-M.; Wang, Z.; Wu, H.; Tang, W.; Li, M.; Liu, S.
2023. Remote Sensing of Environment, 293, Article no: 113611. doi:10.1016/j.rse.2023.113611

Sensitivities 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

A combined Vegetation cover and Temperature-Emissivity Separation (V-TES) method to estimate land surface emissivity
Ermida, S. L.; Hulley, G.; Goettsche, F. M.; Trigo, I. F.
2023. IEEE Transactions on Geoscience and Remote Sensing, 61, Art.-Nr.: 4407318. doi:10.1109/TGRS.2023.3301615

Retrieval Consistency between LST CCI Satellite Data Products over Europe and Africa
Pérez-Planells, L.; Ghent, D.; Ermida, S.; Martin, M.; Göttsche, F.-M.
2023. Remote Sensing, 15 (13), Art.-Nr.: 3281. doi:10.3390/rs15133281

Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System
McCusker, G. Y.; Vüllers, J.; Achtert, P.; Field, P.; Day, J. J.; Forbes, R.; Forbes, R.; Price, R.; O’Connor, E.; Tjernström, M.; Prytherch, J.; Neely III, R.; Brooks, I. M.
2023. Atmospheric Chemistry and Physics, 23 (8), 4819–4847. doi:10.5194/acp-23-4819-2023

Impact of High Concentrations of Saharan Dust Aerosols on Infrared-Based Land Surface Temperature Products
Stante, F.; Ermida, S. L.; DaCamara, C. C.; Göttsche, F.-M.; Trigo, I. F.
2023. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 4064–4079. doi:10.1109/JSTARS.2023.3263374

Continental-scale evaluation of three ECOSTRESS land surface temperature products over Europe and Africa: Temperature-based validation and cross-satellite comparison
Hu, T.; Mallick, K.; Hulley, G. C.; Planells, L. P.; Göttsche, F. M.; Schlerf, M.; Hitzelberger, P.; Didry, Y.; Szantoi, Z.; Alonso, I.; Sobrino, J. A.; Skoković, D.; Roujean, J.-L.; Boulet, G.; Gamet, P.; Hook, S.
2022. Remote Sensing of Environment, 282, Art.Nr. 113296. doi:10.1016/j.rse.2022.113296

Highly Active Ice‐Nucleating Particles at the Summer North Pole
Porter, G. C. E.; Adams, M. P.; Brooks, I. M.; Ickes, L.; Karlsson, L.; Leck, C.; Salter, M. E.; Schmale, J.; Siegel, K.; Sikora, S. N. F.; Tarn, M. D.; Vüllers, J.; Wernli, H.; Zieger, P.; Zinke, J.; Murray, B. J.
2022. Journal of Geophysical Research: Atmospheres, 127 (6), e2021JD036059. doi:10.1029/2021JD036059

Enhanced 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:10.1029/2021GL097058

Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds
Shaw, J.; McGraw, Z.; Bruno, O.; Storelvmo, T.; Hofer, S.
2022. Geophysical Research Letters, 49 (3). doi:10.1029/2021GL096191

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

A 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, 141–157

Validation of Satellite-Retrieved Land SurfaceTemperature (LST) Productsat Gobabeb, Namibia
Göttsche, F.-M.; Cermak, J.; Marais, E.; Maggs-Kölling, G.
2022. Journal, 69, 43–61

Retrieval of Land Surface Emissivities Over Partially Vegetated Surfaces From Satellite Data Using Radiative Transfer Models
Perez-Planells, L.; Niclos, R.; Valor, E.; Gottsche, F.-M.
2022. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–21. doi:10.1109/TGRS.2022.3224639

Land 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/rs14184677

A global dataset of spatiotemporally seamless daily mean land surface temperatures: generation, validation, and analysis
Hong, F.; Zhan, W.; Göttsche, F.-M.; Liu, Z.; Dong, P.; Fu, H.; Huang, F.; Zhang, X.
2022. Earth System Science Data, 14 (7), 3091–3113. doi:10.5194/essd-14-3091-2022

High-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-15-4257-2022

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

Opportunistic 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

Validation and Quality Assessment of the ECOSTRESS Level-2 Land Surface Temperature and Emissivity Product
Hulley, G. C.; Gottsche, F. M.; Rivera, G.; Hook, S. J.; Freepartner, R. J.; Martin, M. A.; Cawse-Nicholson, K.; Johnson, W. R.
2022. IEEE Transactions on Geoscience and Remote Sensing, 60, Art.-Nr. 5000523. doi:10.1109/TGRS.2021.3079879

High-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.2021.105829

Continuous evaluation of the spatial representativeness of land surface temperature validation sites
Ma, J.; Zhou, J.; Liu, S.; Göttsche, F.-M.; Zhang, X.; Wang, S.; Li, M.
2021. Remote sensing of environment, 265, Article no: 112669. doi:10.1016/j.rse.2021.112669

Satellite-derived quantification of the diurnal and annual dynamics of land surface temperature
Sismanidis, P.; Bechtel, B.; Keramitsoglou, I.; Göttsche, F.; Kiranoudis, C. T.
2021. Remote sensing of environment, 265, Art.-Nr.: 112642. doi:10.1016/j.rse.2021.112642

A simple yet robust framework to estimate accurate daily mean land surface temperature from thermal observations of tandem polar orbiters
Hong, F.; Zhan, W.; Göttsche, F.-M.; Lai, J.; Liu, Z.; Hu, L.; Fu, P.; Huang, F.; Li, J.; Li, H.; Wu, H.
2021. Remote sensing of environment, 264, art.-Nr.: 112612. doi:10.1016/j.rse.2021.112612

Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A Review of Reconstruction and Spatiotemporal Fusion Techniques
Wu, P.; Yin, Z.; Zeng, C.; Duan, S.-B.; Gottsche, F.-M.; Li, X.; Ma, X.; Yang, H.; Shen, H.
2021. IEEE geoscience and remote sensing magazine, 9 (3), 112–137. doi:10.1109/MGRS.2021.3050782

Delayed subsidence of the Dead Sea shore due to hydro-meteorological changes
Vey, S.; Al-Halbouni, D.; Haghighi, M. H.; Alshawaf, F.; Vüllers, J.; Güntner, A.; Dick, G.; Ramatschi, M.; Teatini, P.; Wickert, J.; Weber, M.
2021. Scientific Reports, 11 (1), 13518. doi:10.1038/s41598-021-91949-y

Validation and consistency assessment of land surface temperature from geostationary and polar orbit platforms: SEVIRI/MSG and AVHRR/Metop
Trigo, I. F.; Ermida, S. L.; Martins, J. P. A.; Gouveia, C. M.; Göttsche, F.-M.; Freitas, S. C.
2021. ISPRS journal of photogrammetry and remote sensing, 175, 282–297. doi:10.1016/j.isprsjprs.2021.03.013

Exploring the Cloud Top Phase Partitioning in Different Cloud Types Using Active and Passive Satellite Sensors
Bruno, O.; Hoose, C.; Storelvmo, T.; Coopman, Q.; Stengel, M.
2021. Geophysical research letters, 48 (2), Art.Nr.e2020GL089863. doi:10.1029/2020GL089863

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

Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia
Frey, M. M.; Hase, F.; Blumenstock, T.; Dubravica, D.; Groß, J.; Göttsche, F.; Handjaba, M.; Amadhila, P.; Mushi, R.; Morino, I.; Shiomi, K.; Sha, M. K.; Mazière, M. de; Pollard, D. F.
2021. Atmospheric measurement techniques, 14 (9), 5887–5911. doi:10.5194/amt-14-5887-2021

Validation of AVHRR Land Surface Temperature with MODIS and In Situ LST—A TIMELINE Thematic Processor
Reiners, P.; Asam, S.; Frey, C.; Holzwarth, S.; Bachmann, M.; Sobrino, J.; Göttsche, F.-M.; Bendix, J.; Kuenzer, C.
2021. Remote sensing, 13 (17), Article no: 3473. doi:10.3390/rs13173473

Validation of Sentinel-3 SLSTR Land Surface Temperature Retrieved by the Operational Product and Comparison with Explicitly Emissivity-Dependent Algorithms
Pérez-Planells, L.; Niclòs, R.; Puchades, J.; Coll, C.; Göttsche, F.-M.; Valiente, J. A.; Valor, E.; Galve, J. M.
2021. Remote sensing, 13 (11), Article no: 2228. doi:10.3390/rs13112228

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

A global long-term (1981–2000) land surface temperature product for NOAA AVHRR
Ma, J.; Zhou, J.; Göttsche, F.-M.; Liang, S.; Wang, S.; Li, M.
2020. Earth system science data, 12 (4), 3247–3268. doi:10.5194/essd-12-3247-2020

Identifying 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.3849

Investigation and validation of algorithms for estimating land surface temperature from Sentinel-3 SLSTR data
Yang, J.; Zhou, J.; Göttsche, F.-M.; Long, Z.; Ma, J.; Luo, R.
2020. International journal of applied earth observation and geoinformation, 91, Article: 102136. doi:10.1016/j.jag.2020.102136

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

Retrieving Soil and Vegetation Temperatures From Dual-Angle and Multipixel Satellite Observations
Bian, Z.; Li, H.; Gottsche, F. M.; Li, R.; Du, Y.; Ren, H.; Cao, B.; Xiao, Q.; Liu, Q.
2020. IEEE journal of selected topics in applied earth observations and remote sensing, 13, 5536–5549. doi:10.1109/JSTARS.2020.3024190

Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI
Safieddine, S.; Parracho, A. C.; George, M.; Aires, F.; Pellet, V.; Clarisse, L.; Whitburn, S.; Lezeaux, O.; Thépaut, J.-N.; Hersbach, H.; Radnoti, G.; Goettsche, F.; Martin, M.; Doutriaux-Boucher, M.; Coppens, D.; August, T.; Zhou, D. K.; Clerbaux, C.
2020. Remote sensing, 12 (17), Article: 2777. doi:10.3390/rs12172777

Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series
Ermida, S. L.; Soares, P.; Mantas, V.; Göttsche, F.-M.; Trigo, I. F.
2020. Remote sensing, 12 (9), 1471. doi:10.3390/rs12091471

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

Variability of air pollution (PM1) analyzed using explainable Machine Learning
Stirnberg, R.; Cermak, J.; Kotthaus, S.; Haeffelin, M.; Andersen, H.; Kim, M.
2019. 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

Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature
Li, M.; Zhou, J.; Peng, Z.; Liu, S.; Göttsche, F.-M.; Zhang, X.; Song, L.
2019. Agricultural and forest meteorology, 276-277, 107600. doi:10.1016/j.agrformet.2019.05.031

Correction to: A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations (vol 57, pg 4670, 2019)
Zhang, X.; Zhou, J.; Gottsche, F.-M.; Zhan, W.; Liu, S.; Cao, R.
2019. IEEE transactions on geoscience and remote sensing, 57 (8), 6254. doi:10.1109/TGRS.2019.2899770

Validation of Collection 6 MODIS land surface temperature product using in situ measurements
Duan, S.-B.; Li, Z.-L.; Li, H.; Göttsche, F.-M.; Wu, H.; Zhao, W.; Leng, P.; Zhang, X.; Coll, C.
2019. Remote sensing of environment, 225, 16–29. doi:10.1016/j.rse.2019.02.020

An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations
Martins, J. P. A.; Trigo, I. F.; Ghilain, N.; Jimenez, C.; Göttsche, F.-M.; Ermida, S. L.; Olesen, F.-S.; Gellens-Meulenberghs, F.; Arboleda, A.
2019. Remote sensing, 11 (24), Article: 3044. doi:10.3390/rs11243044

Forschungsorientiert 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-0273-2019

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

SEVIRI Hyper-Fast Forward Model with Application to Emissivity Retrieval
Masiello, G.; Serio, C.; Venafra, S.; Poutier, L.; Göttsche, F.-M.
2019. Sensors, 19 (7), 1532. doi:10.3390/s19071532

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 2016 CEOS infrared radiometer comparison: Part 2: Laboratory comparison of radiation thermometers
Theocharous, E.; Fox, N. P.; Barker-Snook, I.; Niclòs, R.; Garcia Santos, V.; Minnett, P. J.; Göttsche, F. M.; Poutier, L.; Morgan, N.; Nightingale, T.; Wimmer, W.; Høyer, J.; Zhang, K.; Yang, M.; Guan, L.; Arbelo, M.; Donlon, C. J.
2019. Journal of atmospheric and oceanic technology. doi:10.1175/JTECH-D-18-0032.1

A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations
Zhang, X.; Zhou, J.; Gottsche, F.-M.; Zhan, W.; Liu, S.; Cao, R.
2019. IEEE transactions on geoscience and remote sensing, 57 (7), 4670–4691. doi:10.1109/TGRS.2019.2892417

Comprehensive 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/rs11050479

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

Aerosol 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

Fog 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/rs10040541

Characteristics and evolution of diurnal foehn events in the Dead Sea valley
Vüllers, J.; Mayr, G. J.; Corsmeier, U.; Kottmeier, C.
2018. Atmospheric chemistry and physics, 18 (24), 18169–18186. doi:10.5194/acp-18-18169-2018

Temporal 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/atmos9120498

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

Fog and Low Cloud Frequency and Properties from Active-Sensor Satellite Data
Cermak, J.
2018. Remote sensing, 10 (8), 1209. doi:10.3390/rs10081209

Physical Retrieval of Land Surface Emissivity Spectra from Hyper-Spectral Infrared Observations and Validation with In Situ Measurements
Masiello, G.; Serio, C.; Venafra, S.; Liuzzi, G.; Poutier, L.; Göttsche, F.-M.
2018. Remote sensing, 10 (6), 976. doi:10.3390/rs10060976

Comprehensive assessment of four-parameter diurnal land surface temperature cycle models under clear-sky
Hong, F.; Zhan, W.; Göttsche, F. M.; Liu, Z.; Zhou, J.; Huang, F.; Lai, J.; Li, M.
2018. ISPRS journal of photogrammetry and remote sensing, 142, 190–204. doi:10.1016/j.isprsjprs.2018.06.008

Dead Sea evaporation by eddy covariance measurements vs. aerodynamic, energy budget, Priestley–Taylor, and Penman estimates
Metzger, J.; Nied, M.; Corsmeier, U.; Kleffmann, J.; Kottmeier, C.
2018. Hydrology and earth system sciences, 22 (2), 1135–1155. doi:10.5194/hess-22-1135-2018

Trends in temperature and wind speed from 40 years of observations at a 200-m high meteorological tower in Southwest Germany
Kohler, M.; Metzger, J.; Kalthoff, N.
2018. International journal of climatology, 38 (1), 23–34. doi:10.1002/joc.5157

Global Land Surface Temperature From the Along-Track Scanning Radiometers
Ghent, D. J.; Corlett, G. K.; Göttsche, F.; Remedios, J. J.
2017. Journal of geophysical research / Atmospheres, 122 (22), 12,167–12,193. doi:10.1002/2017JD027161

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

A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land
Zhou, J.; Zhang, X.; Zhan, W.; Göttsche, F.; Liu, S.; Olesen, F.-S.; Hu, W.; Dai, F.
2017. IEEE transactions on geoscience and remote sensing, 55 (8), 4743–4756. doi:10.1109/TGRS.2017.2698828

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

Atmospheric salt deposition in a tropical mountain rainforest at the eastern Andean slopes of south Ecuador – Pacific or Atlantic origin?
Makowski Giannoni, S.; Trachte, K.; Rollenbeck, R.; Lehnert, L.; Fuchs, J.; Bendix, J.
2016. Atmospheric chemistry and physics, 16 (15), 10241–10261. doi:10.5194/acp-16-10241-2016

A 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.2941

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

Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data
Sobrino, J. A.; Jiménez-Muñoz, J. C.; Sòria, G.; Ruescas, A. B.; Danne, O.; Brockmann, C.; Ghent, D.; Remedios, J.; North, P.; Merchant, C.; Berger, M.; Mathieu, P. P.; Göttsche, F.-M.
2016. Remote Sensing of Environment, 179, 149–161. doi:10.1016/j.rse.2016.03.035

Long Term Validation of Land Surface Temperature Retrieved from MSG/SEVIRI with Continuous in-Situ Measurements in Africa
Göttsche, F.-M.; Olesen, F.-S.; Trigo, I. F.; Bork-Unkelbach, A.; Martin, M. A.
2016. Remote sensing, 8 (5), Arcticle no 410. doi:10.3390/rs8050410

Satellitengestützte Fernerkundung urbaner Wärmeinseln im Grundwasser
Benz, S.; Bayer, P.; Goettsche, F.-M.; Olesen, F. S.; Blum, P.
2016. Grundwasser - Mensch - Ökosysteme : 25. Tagung der Fachsektion Hydrogeologie in der DGGV 2016, Karlsruher Institut für Technologie (KIT), 13.-17. April 2016. Hrsg.: P. Blum, 249–250, KIT Scientific Publishing

Modelling of a strong dust event in the complex terrain of the Dead Sea valley during the passage of a gust front
Kishcha, P.; Rieger, D.; Metzger, J.; Starobinets, B.; Bangert, M.; Vogel, H.; Schättler, U.; Corsmeier, U.; Alpert, P.; Vogel, B.
2016. Tellus B, 68, 29751/1–19. doi:10.3402/tellusb.v68.29751

THE 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

New perspectives on interdisciplinary earth science at the Dead Sea: The DESERVE project
Kottmeier, C.; Agnon, A.; Al-Halbouni, D.; Alpert, P.; Corsmeier, U.; Dahm, T.; Eshel, A.; Geyer, S.; Haas, M.; Holohan, E.; Kalthoff, N.; Kishcha, P.; Krawczyk, C.; Lati, J.; Laronne, J. B.; Lott, F.; Mallast, U.; Merz, R.; Metzger, J.; Mohsen, A.; Morin, E.; Nied, M.; Rödiger, T.; Salameh, E.; Sawarieh, A.; Shannak, B.; Siebert, C.; Weber, M.
2016. Science of the Total Environment, 544, 1045–1058. doi:10.1016/j.scitotenv.2015.12.003

A 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.2014.04.014

Capturing Cold-Air Flow Using Thermal Imaging
Grudzielanek, A. M.; Cermak, J.
2015. Boundary layer meteorology, 157 (2), 321–332. doi:10.1007/s10546-015-0042-8

Where 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/rs70404178

Authentizität beim Lernen - Eine empirische Untersuchung zur Vermittlung des globalen Klimawandels im Geographieunterricht
Flake, S.; Cermak, J.; Sprenger, S.
2015. Zeitschrift für Geographiedidaktik, 43 (3), 233–253

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

Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature
Wu, P.; Shen, H.; Zhang, L.; Goettsche, F.-M.
2015. Remote sensing of environment, 156, 169–181. doi:10.1016/j.rse.2014.09.013

Kalman filter physical retrieval of surface emissivity and temperature from SEVIRI infrared channels: A validation and intercomparison study
Masiello, G.; Serio, C.; Venafra, S.; Liuzzi, G.; Göttsche, F.; Trigo, I. F.; Watts, P.
2015. Atmospheric measurement techniques, 8 (7), 2981–2997. doi:10.5194/amt-8-2981-2015

Quality assessment of S-NPP VIIRS land surface temperature product
Liu, Y.; Yu, Y.; Yu, P.; Goettsche, F. M.; Trigo, I. F.
2015. Remote sensing, 7 (9), 12215–12241. doi:10.3390/rs70912215

Meteosat land surface temperature climate data record: Achievable accuracy and potential uncertainties
Duguay-Tetzlaff, A.; Bento, V. A.; Goettsche, F. M.; Stoeckli, R.; Martins, J. P. A.; Trigo, I.; Olesen, F.; Bojanowski, J. S.; Camara, C. da; Kunz, H.
2015. Remote sensing, 7 (10), 13139–13156. doi:10.3390/rs71013139

Ecosystem properties of semiarid savanna grassland in West Africa and its relationship with environmental variability
Tagesson, T.; Fensholt, R.; Guiro, I.; Rasmussen, M. O.; Huber, S.; Mbow, C.; Garcia, M.; Horion, S.; Sandholt, I.; Holm-Rasmussen, B.; Göttsche, F. M.; Ridler, M. E.; Olen, N.; Olsen, J. L.; Ehammer, A.; Madsen, M.; Olesen, F. S.; Ardö, J.
2015. Global change biology, 21, 250–264. doi:10.1111/gcb.12734

Evaluation of GOES-R Land Surface Temperature Algorithm Using SEVIRI Satellite Retrievals With in situ Measurements
Xu, H.; Yu, Y.; Tarpley, D.; Gottsche, F.; Olesen, F.-S.
2014. IEEE transactions on geoscience and remote sensing, 52 (7), 3812–3822. doi:10.1109/TGRS.2013.2276426

Temperature and Emissivity Separation From MSG/SEVIRI Data
Jimenez-Munoz, J. C.; Sobrino, J. A.; Mattar, C.; Hulley, G.; Gottsche, F.-M.
2014. IEEE transactions on geoscience and remote sensing, 52 (9), 5937–5951. doi:10.1109/TGRS.2013.2293791

Validation of Land Surface Temperature products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) using ground-based and heritage satellite measurements
Guillevic, P. C.; Biard, J. C.; Hulley, G. C.; Privette, J. L.; Hook, S. J.; Olioso, A.; Göttsche, F. M.; Radocinski, R.; Roman, M. O.; Yu, Y.; Csiszar, I.
2014. Remote sensing of environment, 154, 19–37. doi:10.1016/j.rse.2014.08.013

Impact of upstream flow conditions on the initiation of moist convection over the island or Corsica
Metzger, J.; Barthlott, C.; Kalthoff, N.
2014. Atmospheric research, 145-146, 279–296. doi:10.1016/j.atmosres.2014.04.011

The 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

Validation of land surface temperature products with 5 years of permanent in-situ measurements in 4 different climate regions
Göttsche, F.; Olesen, F.; Trigo, I. F.; Bork-Unkelbach, A.
2013. EUMETSAT Meteorological Satellite Conference : 19th American Meteorological Society (AMS) satellite meteorology, oceanography, and climatology conference : Understanding the past, observing the present and protecting the future - Vienna, Austria, 16-20 September 2013, 96, AMS

Validation of land surface temperature derived from MSG/SEVIRI with in situ measurements at Gobabeb, Namibia
Göttsche, F.-M.; Olesen, F.-S.; Bork-Unkelbach, A.
2013. International journal of remote sensing, 34 (9-10), 3069–3083. doi:10.1080/01431161.2012.716539

1 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-5-2469-2012

Fog 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-y

Remote 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.2012.04.017

Low 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

Validation of six satellite-retrieved land surface emissivity products over two land cover types in a hyper-arid region
Göttsche, F.-M.; Hulley, G. C.
2012. Remote Sensing of Environment, 124, 149–158. doi:10.1016/j.rse.2012.05.010

Analyzing 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:10.1029/2010JD014963

Retrieval 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:10.1080/01431161.2010.523023

Will 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.2011.03.04

Detecting 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

Directional Effects on Land Surface Temperature Estimation From Meteosat Second Generation for Savanna Landscapes
Rasmussen, M. O.; Göttsche, F.-M.; Olesen, F.-S.; Sandholt, I.
2011. IEEE Transactions on Geoscience and Remote Sensing, 49 (11), 4458–4468. doi:10.1109/TGRS.2011.2144604

Tree survey and allometric models for tiger bush in northern Senegal and comparison with tree parameters derived from high resolution satellite data
Rasmussen, M. O.; Göttsche, F. M.; Diop, D.; Mbow, C.; Olesen, F. S.; Fensholt, R.; Sandholt, I.
2011. International Journal of Applied Earth Observation and Geoinformation, 13 (4), 517–527. doi:10.1016/j.jag.2011.01.007

Validation of operational land surface temperature products with three years of continuous in-situ measurements
Göttsche, F.; Olesen, F.; Bork-Unkelbach, A.
2011. Proc.of 2011 EUMETSAT Meteorological Satellite Conf., Oslo, N, September 5-9, 2011 Darmstadt : EUMETSAT, 2011 EUM Publ.online, 59

VIS and IR characterization of a permanent LST validation site
Bork-Unkelbach, A.; Olesen, F.; Göttsche, F.
2011. Proc.of 2011 EUMETSAT Meteorological Satellite Conf., Oslo, N, September 5-9, 2011 Darmstadt : EUMETSAT, 2011 EUM Publ.online, 59

Characterisation of permanent LST validation sites with field surveys and an unmanned aerial vehicle (UAV)
Bork-Unkelbach, A.; Olesen, F.; Göttsche, F.
2011. Proc.of 2010 EUMETSAT Meteorological Satellite Conf., Cordoba, E, September 20-24, 2010 Darmstadt : EUMETSAT, 2010 EUM Publ.online, 57

Microwave 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:10.1029/2010JD014283

Challenges 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:10.1175/2009JCLI3361.1

Consistency 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

Quantifying the uncertainty of land surface temperature retrievals from SEVRI/Meteosat
Freitas, S. C.; Trigo, I. F.; Bioucas-Dias, J. M.; Göttsche, F. M.
2010. IEEE Transactions on Geoscience and Remote Sensing, 48 (1), 523–34. doi:10.1109/TGRS.2009.2027697

European 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.503

Beijing Olympics as an aerosol field experiment
Cermak, J.; Knutti, R.
2009. Geophysical research letters, 36 (10), Art. Nr.: L10806. doi:10.1029/2009GL038572

Formation 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

Modelling the effect of optical thickness on diurnal cycles of land surface temperature
Göttsche, F.-M.; Olesen, F.-S.
2009. Remote Sensing of Environment, 113 (11), 2306–2316. doi:10.1016/j.rse.2009.06.006

A simple physically based model of diurnal cycles of land surface temperature
Göttsche, F. M.; Olesen, F. S.
2009. Proc.of 2009 EUMETSAT Meteorological Satellite Conf., Bath, GB, September 21-25, 2009 Darmstadt : EUMETSAT, 2009 EUM, 55

Validation of land surface temperatures obtained from METEOSAT-MVIRI and SEVIRI with in-situ measurements
Olesen, F. S.; Göttsche, F. M.
2009. Proc.of 2009 EUMETSAT Meteorological Satellite Conf., Bath, GB, September 21-25, 2009 Darmstadt : EUMETSAT, 2009 EUM, 55

Climatological Evaluation Of Fog/Low Stratus Distribution Based On Meteosat 8 And 9 SEVIRI Data
Cermak, J.; Bendix, J.
2008. Proceedings of the 2008 EUMETSAT Meteorological Satellite Conference : Darmstadt, Germany 8-12 September 2008., Eumetsat

A 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.2007.11.009

FMet-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

The impact of image dynamic range on texture classification of brain white matter
Mahmoud-Ghoneim, D.; Alkaabi, M. K.; Certaines, J. D. de; Goettsche, F.
2008. BMC Medical Imaging, (2008), 8:18. doi:10.1186/1471-2342-8-18

Mountain 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.2007.03.022

Fog 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-x

Dynamical 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

Characterization 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:10.1127/0941-2948/2006/0100

MSG Fog and Low Stratus Products at LCRS (SOFOS)
Cermak, J.; Bendix, J.; Nauss, T.
2006. Proceedings of the 3rd MSG RAO Workshop (ESA SP-619). 15 June 2006, Helsinki, Finland. Ed. : D. Danessy, 49–51

Fog/Low Stratus Discrimination Using MSG SEVIRI Data
Cermak, J.; Bendix, J.
2006. Proceedings of the 2005 EUMETSAT Meteorological Satellite Conference, Dubrovnik, 2006, 169–173, Eumetsat

A 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/s1350482706002180

Cloud 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

Analyses of Multi-Channel Satellite Data for the Identification of Land Surface Temperature Validation Sites in the UAE
Goettsche, F.-M.; Olesen, F. S.
2006. The Seventh Annual U.A.E. University Research Conference

Isolated 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, 247–258

Satellite 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, 209–218

Satellite-Based Nowcasting of Fog and Low Stratus
Cermak, J.; Bendix, J.
2005. Proceedings of the WWRP Symposium on Nowcasting and Very Short Range Forecasting, 5. September 2005, Toulouse, France

Ground 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

Separating surface emissivity and temperature using two-channel spectral indices and emissivity composites and comparison with a vegetation fraction method
Dash, P.; Göttsche, F. M.; Olesen, F. S.; Fischer, H.
2005. Remote Sensing of Environment, 96, 1–17. doi:10.1016/j.rse.2004.12.023

Operational Algorithms for Higher Level Cloud Products
Scheidgen, P.; Reudenbach, C.; Nauss, T.; Cermak, J.; Dobbermann, M.; Bendix, J.; Theissen, W.; Harmann, O.
2004. Proceedings of the 2004 EUMETSAT Meteorological Satellite Conference, Prag, 383–383, Eumetsat

An Integrated Receiving and Processing Unit for MSG, NOAA and Terra/Aqua Data
Reudenbach, C.; Nauss, T.; Cermak, J.; Dobbermann, M.; Bendix, J.; Theissen, W.; Scheidgen, P.; Harmann, O.
2004. Proceedings of the 2003 EUMETSAT Meteorological Satellite Conference, 291–297, Eumetsat

Operational Identification and Visualisation of Cloud Processes for General Aviation Using Multispectral Data
Nauss, T.; Reudenbach, C.; Cermak, J.; Bendix, J.
2004. Proceedings of the 2004 EUMETSAT Meteorological Satellite Conference, Prag, 169–172, Eumetsat

A New Approach to Fog Detection Using SEVIRI and MODIS Data
Cermak, J.; Thies, B.; Bendix, J.
2004. Meteorological Satellite Conference : 2004 : Prag. Proceedings EUMETSAT, 130–136, Eumetsat

Retrieval of Fog and Fog Properties from Meteosat 8 Data - First Results
Cermak, J.; Bendix, J.; Nauss, T.
2004. Proceedings of the 2nd ESA Meteosat Second Generation Research Announcement of Opportunity Principal Investigator Workshop; Salzburg; Austria; 9 September 2004 through 10 September 2004, 79–84, ESA Publications Division

New Perspectives in Remote Sensing of Fog and Low Stratus - TERRA/AQUA-MODIS and MSG
Bendix, J.; Cermak, J.; Thies, B.
2004. Proceedings of the 3rd International Conference on Fog, Fog Collection and Dew, 11-15 Oct. 2004, Cape Town ZA, Getr. Zählung

Dynamics of Forest Islands in the Govi Altay: Microclimate and Human Impact
Cermak, J.; Opgenoorth, L.
2003. Berliner paläobiologische Abhandlungen, 2, 28–28

Fog Detection with TERRA-MODIS and MSG-SEVIRI
Bendix, J.; Thies, B.; Cermak, J.
2003. Proceedings of the 2003 EUMETSAT Meteorological Satellite Conference, Weimar, Germany, 29. 09. - 03. 10. 2003, 429–435, Eumetsat

Bestimmung und Analyse der Temperatur von Landoberflächen aus Satellitendaten
Olesen, F. S.; Göttsche, F. M.
2003. Nachrichten - Forschungszentrum Karlsruhe, 35, 57–61

Emissivity and temperature estimation from MSG SEVIRI data. Method validation with simulated and NOAA-14 AVHRR data
Dash, P.; Göttsche, F. M.; Olesen, F. S.
2003. Advances in Space Research, 34th COSPAR Scientific Assembly, the 2nd World Space Congress, Houston, Tex., October 10-19, 2002, 32, 2241–46. doi:10.1016/S0273-1177(03)90549-7

Potential of MSG for surface temperature and emissivity estimation: considerations for real-time applications
Dash, P.; Göttsche, F. M.; Olesen, F. S.
2002. International Journal of Remote Sensing, 23, 4511–18. doi:10.1080/01431160210146659

Retrieval of land surface temperature from combined AVHRR data
Sun, Y. Y.; Göttsche, F. M.; Olesen, F. S.; Fischer, H.
2002. Annales Geophysicae, 20, 1257–59

Land surface temperature and emissivity estimation from passive sensor data: theory and parctice-current trends
Dash, P.; Göttsche, F. M.; Olesen, F. S.; Fischer, H.
2002. International Journal of Remote Sensing, 23, 2563–94. doi:10.1080/01431160110115041

Evolution of neural networks for radiative transfer calculations in the terrestrial infrared
Göttsche, F. M.; Olesen, F. S.
2002. Remote sensing of environment, 80 (1), 157–164. doi:10.1016/S0034-4257(01)00297-8

Retrieval of land surface temperature and emissivity from satellite data: physics, theoretical limitations and current methods
Dash, P.; Goettsche, F. M.; Olesen, F. M.; Fischer, H.
2002. Journal of the Indian Society of Remote Sensing, Annual Convention and Symp.on Spatial Technologies for Natural Hazards Management, Indian Institute of Technology, Kanpur, IND, November 21-22, 2000,(2001) &2, 29 (1), 23–30

Modeling of diurnal cycles of brightness temperature extracted from METEOSAT data
Göttsche, F. M.; Olesen, F. S.
2001. Remote Sensing of Environment, 76, 337–48

Influence of land surface parameters and atmosphere on METEOSAT brightness temperatures and generation of land surface temperature maps by temporally and spatially interpolating atmospheric correction
Schädlich, S.; Göttsche, F. M.; Olesen, F. S.
2001. Remote Sensing of Environment, 75, 39–46