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Found 29 publication(s)

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Jung, P.; Baumann, K.; Lehnert, L.; Samolov, E.; Achilles, S.; Schermer, M.; Wraase, L.M.; Eckhardt, K.; Bader, M.; Leinweber, P.; Karsten, U.; Bendix, J. & Büdel, B. (2020): Desert breath—How fog promotes a novel type of soil biocenosis, forming the coastal Atacama Desert’s living skin. Geobiology n/a(n/a), 1-12.
Cermak, J. & Bendix, J., Fog/Low Stratus Discrimination Using MSG SEVIRI Data(Proceedings of the 2005 EUMETSAT Meteorological Satellite Conference, Dubrovnik, 2006).
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.
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.
Cermak, J. & Bendix, J., Fog/low stratus detetction and discrimination using satellite data(COST Office, Brussels, 2007), pp. 50-58.
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.
Cermak, J. & Bendix, J. (2008): A Novel Approach to Fog/Low Stratus Detection Using Meteosat 8 Data. Atmospheric Research 87(3-4), 279-292.
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. (2007): Dynamical nighttime fog/low stratus detection based on Meteosat SEVIRI data: A feasibility study. Pure and Applied Geophysics 164(6), 1179-1192.
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.
Rollenbeck, R.; Bendix, J. & Fabian, P. (2011): Spatial and temporal dynamics of atmospheric water inputs in tropical mountain forests of South Ecuador. Hydrological Processes Vol. 25(Issue 3), 344–352.
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.
Bendix, J.; Eugster, W. & Klemm, O. (2011): Fog - boon or bane? . Erdkunde 65(3), 229-232.
Jacobs, W.; Nietosvaara, V.; Bott, A.; Bendix, J.; Cermak, J.; Michaelides, S. & Gultepe, I. 2008: EUR 22978 – Cost Action 722 – Earth system science and environmental management – short range forecasting methods of fog, visibility and low cloud. (COST office, Luxembourg).
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. (2002): A satellite-based climatology of fog and low-level stratus in Germany and adjacent areas. Athmospheric Research 64, 3-18.
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. (2018): A Hybrid Approach for Fog Retrieval Based on a Combination of Satellite and Ground Truth Data. Remote Sensing 10(4), 1-26.
Cermak, J. & Bendix, J., Satellite-based nowcasting of fog and low stratus(CD Digest 5.06, 2005), pp. 4pp.
Maier, F.; Bendix, J. & Thies, B. (2012): Simulating Z-LWC relations in natural fogs with radiative transfer calculations for future application to a cloud radar profiler. Pure and Applied Geophysics 169, 793–807.
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