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Found 29 publication(s)

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Rösner, B.; Egli, S.; Thies, B.; Beyer, T.; Callies, D.; Pauscher, L. & Bendix, J. (2020): Fog and Low Stratus Obstruction of Wind Lidar Observations in Germany—A Remote Sensing-Based Data Set for Wind Energy Planning. Energies 13(15), 3859.
Bendix, J.; Rollenbeck, R.; Nauss, T.; Göttlicher, D. & Fabian, P., Fog in a tropical mountain rain forest ecosystem of southern Ecuador(Proc. 4th Int. Conf. on Fog, Fog Collection and Dew, La Serena (Chile), 2007), pp. 407-410.
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), 1179-1192.
Cermak, J. & Bendix, J., Satellite-based nowcasting of fog and low stratus(CD Digest 5.06, 2005), pp. 4pp.
Li, Y.; Zhang, S.; Thies, B.; Trachte, K. & Bendix, J. (2014): Spatio-temporal detection of fog / low stratus top height over the geostationary satellite data as a precondition for ground fog detection – a feasibility study. Atmospheric Research 151, 212-223.
Egli, S.; Thies, B. & Bendix, J. (2019): A spatially explicit and temporally highly resolved analysis of variations in fog occurrence over Europe. Quarterly Journal of the Royal Meteorological Society 1, 1-20.
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.
Bendix, J.; Fabian, P. & Rollenbeck, R., Gradients of fog and rain in a tropical montane cloud forest of southern Ecuador and its chemical composition(2004), pp. H7, 1-4.
Bendix, J., A 10-years fog climatology of Germany and the Alpine region based on satellite data - preliminary results(2001), pp. 357-360.
Cermak, J. & Bendix, J., Fog/low stratus detetction and discrimination using satellite data(COST Office, Brussels, 2007), pp. 50-58.
Lehnert, L.; Thies, B. & Bendix, J. (2020): A new high spatial resolution low stratus/fog retrieval for the Atacama Desert. Remote Sensing of Environment 236, 111445.
Egli, S.; Thies, B. & Bendix, J. (2018): A Hybrid Approach for Fog Retrieval Based on a Combination of Satellite and Ground Truth Data. Remote Sensing 10(4), 1-26.
Schulz, M.; Thies, B.; Chang, S. & Bendix, J. (2016): Detection of ground fog in mountainous areas from MODIS (Collection 051) daytime data using a statistical approach. Atmospheric Measurement Techniques 9, 1135 - 1152.
Cermak, J. & Bendix, J., Fog/Low Stratus Discrimination Using MSG SEVIRI Data(Proceedings of the 2005 EUMETSAT Meteorological Satellite Conference, Dubrovnik, 2006).
Yi, L.; Thies, B.; Zhang, S.; Shi, X. & Bendix, J. (2015): Optical Thickness and Effective Radius Retrievals of Low Stratus and Fog from MTSAT Daytime Data as a Prerequisite for Yellow Sea Fog Detection. Remote Sensing 8(1), 8.
Bendix, J.; Bott, A.; Trautmann, T. & Jacobs, W. (2005): German report: Forecasting methods for fog and low clouds in Germany. In: JACOBS W. et al. (eds.): Short-range forecasting methods of fog, visibility and low clouds ( ), COST office Luxembourg, 74-80.
Gehrig-Downie, C.; Obregon, A.; Bendix, J. & Gradstein, S.R. (2011): Epiphyte Biomass and Canopy Microclimate in the Tropical Lowland Cloud Forest of French Guinea. Biotropica 43, 591-596.
Bendix, J., A fog climatology of Germany and the Alpine region based on AVHRR data(2001), pp. 414-419.
Bendix, J.; Cermak, J. & Thies, B., New perspectives in remote sensing of fog and low stratus – TERRA/AQUA-MODIS and MSG(2004), pp. G2, 1-4.
Cermak, J. & Bendix, J. (2008): A Novel Approach to Fog/Low Stratus Detection Using Meteosat 8 Data. Atmospheric Research 87(3-4), 279-292.
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