Laboratory for
Climatology and Remote Sensing

Dr. Boris Thies

| Member in GFog-ML: Ground fog detection and analysis with Machine Learning | Member in Linden Ground Truth and Profiling Station & Metrology and Maintenance Laboratory | Member in Delineating the mountain cloud forest of Taiwan by means of topographic cloud immersion with moderate resolution satellite data and ground based observations | Member in Variability and trends in water balance components of benchmark drainage basins on the Tibetan Plateau (WET) - BMBF program CAME "Central Asia: Monsoon dynamics and geo - ecosystems" | Member in Operationelle Ableitung von Vertikalprofilen der Nebeleigenschaften – Methodenentwicklung auf der Basis eines neuartigen bodengestützten 94 GHz FMCW-Wolkenradars | Member in High resolution soil moisture parameterization of land surface models | Member in Early Detection of Laryngeal Cancer by Hyperspectral Imaging | Member in prime-RS: Precipitation patterns, snow and glacier response in High Asia and their variability on sub-decadal time scales (prime) Sub-project Remote Sensing of precipitation (RS) | Member in SaWaM - Seasonal water resource management in dry areas: Practice transfer of regionalised global information | Member in FOG-ML: FOrecasting radiation foG by combining station and satellite data using Machine Learning |

Contact

Scientific interest

Remote Sensing
Cloud dynamics and precipitation
Boundary Layer climatology

Publications

Articles

• 2023
• Pohl, M.; Lehnert, L.; Thies, B.; Seeger, K.; Berdugo Moreno, M.B.; Gradstein, S.R.; Bader, M. & Bendix, J. (2023): Valleys are a potential refuge for the Amazon lowland forest in the face of increased risk of drought. Communications Earth & Environment 4(1), -.
• Gaurav, S.; Egli, S.; Thies, B. & Bendix, J. (2023): Harmonization of Meteosat First and Second Generation Datasets for Fog and Low Stratus Studies. Remote Sensing 15(7), 1774.
• 2022
• Vorndran, M.; Schütz, A.; Bendix, J. & Thies, B. (2022): Current training and validation weaknesses in classification-based radiation fog nowcast using machine learning algorithms. Artificial Intelligence for the Earth Systems 1(2), e210006.
• 2021
• Turini, N.; Thies, B.; Rollenbeck, R.; Fries, A.; Pucha-Cofrep, F.; Orellana-Alvear, J.; Horna, N. & Bendix, J. (2021): Assessment of Satellite-Based Rainfall Products Using a X-Band Rain Radar Network in the Complex Terrain of the Ecuadorian Andes. Atmosphere 12(12), 1678.
• Neuwirth, B.; Rabbel, I.; Bendix, J.; Bogena, H.R. & Thies, B. (2021): The European Heat Wave 2018: The Dendroecological Response of Oak and Spruce in Western Germany. Forests 12(3), 283.
• Turini, N.; Thies, B.; Horna, N. & Bendix, J. (2021): Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data. European Journal of Remote Sensing 54(1), 117-139.
• 2020
• Hamm, A.; Arndt, A.; Kolbe, C.; Wang, X.; Thies, B.; Boyko, O.; Reggiani, P.; Scherer, D.; Bendix, J. & Schneider, C. (2020): Intercomparison of Gridded Precipitation Datasets over a Sub-Region of the Central Himalaya and the Southwestern Tibetan Plateau. Water 12(3271), 1-23.
• Kolbe, C.; Thies, B.; Turini, N.; Liu, Z. & Bendix, J. (2020): Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D. Remote Sensing 12(13), 2114.
• 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.
• 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.
• 2019
• Turini, N.; Thies, B. & Bendix, J. (2019): Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine Learning: Case Study of Iran. Remote sensing 11(19), 2307.
• Kolbe, C.; Thies, B.; Egli, S.; Lehnert, L.; Schulz, M. & Bendix, J. (2019): Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit — Part 1 : Precipitation Area Delineation with Elektro-L2 and Insat-3D. Remote Sensing 11(19), 2302.
• Lehnert, L.; Meyer, H.; Obermeier, W.; Silva, B.; Regeling, B.; Thies, B. & Bendix, J. (2019): Hyperspectral Data Analysis in R: The hsdar Package. Journal of Statistical Software 89(12), 1-23.
• Drönner, J.; Egli, S.; Thies, B.; Bendix, J. & Seeger, B. (2019): FFLSD - Fast Fog and Low Stratus Detection tool for large satellite time-series. Computers & Geosciences 1, 1-36.
• 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.
• 2018
• Drönner, J.; Korfhage, N.; Egli, S.; Mühling, M.; Thies, B.; Bendix, J.; Freisleben, B. & Seeger, B. (2018): Fast Cloud Segmentation Using Convolutional Neural Networks. remote sensing 10(11), 1782-.
• 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.
• Lehnert, L.; Thies, B.; Trachte, K.; Achilles, S.; Osses, P.; Baumann, K.; Schmidt, J.; Samolov, E.; Jung, P.; Leinweber, P.; Büdel, B. & Bendix, J. (2018): A Case Study on Fog/Low Stratus Occurrence at Las Lomitas, Atacama Desert (Chile) as a Water Source for Biological Soil Crusts. Aerosol and Air Quality Research 18(1), 254-269.
• 2017
• Brede, B.; Thies, B.; Bendix, J. & Feister, U. (2017): Spatiotemporal High-Resolution Cloud Mapping with a Ground-Based IR Scanner. Advances in Meteorology 2017, 11.
• Thies, B.; Egli, S. & Bendix, J. (2017): The Influence of Drop Size Distributions on the Relationship between Liquid Water Content and Radar Reflectivity in Radiation Fogs. Atmosphere 8(8), 23.
• Schulz, M.; Li, C.; Thies, B.; Chang, S. & Bendix, J. (2017): Mapping the montane cloud forest of Taiwan using 12 year MODIS-derived ground fog frequency data. PLOS ONE 12(2), 1-17.
• 2016
• 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.
• Regeling, B.; Thies, B.; Gerstner, A.O.; Westermann, S.; Müller, N.A.; Bendix, J. & Laffers, W. (2016): Hyperspectral Imaging Using Flexible Endoscopy for. Sensors 16, 1-14.
• Seidel, J.; Ketzler, G.; Bechtel, B.; Thies, B.; Philipp, A.; Böhner, J.; Egli, S.; Eisele, M.; Herma, F.; Langkamp, T.; Petersen, E.; Sachsen, T.; Schlabing, D. & Schneider, C. (2016): Mobile measurement techniques for local and micro-scale studies in urban and topo-climatology. Die Erde 147(1), 259-284.
• 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.
• Laffers, W.; Westermann, S.; Regeling, B.; Martin, R.; Thies, B.; Gerstner, A.O.; Bootz, F. & Müller, N.A. (2016): Early recognition of cancerous lesions in the mouth and oropharynx : Automated evaluation of hyperspectral image stacks. HNO 64(1), 27-33.
• 2015
• 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.
• Kühnlein, M.; Appelhans, T.; Thies, B. & Nauss, T. (2015): Precipitation estimates from MSG SEVIRI daytime, night-time and twilight data with random forests. Journal of Applied Meteorology and Climatology 53, 2457-2480.
• Thies, B.; Groos, A.; Schulz, M.; Li, C.; Chang, S. & Bendix, J. (2015): Frequency of low clouds in Taiwan retrieved from MODIS data and its relation to cloud forest occurrence. Remote Sensing 7, 12986-13004.
• Regeling, B.; Laffers, W.; Gerstner, A.O.; Westermann, S.; Müller, N.A.; Schmidt, K.; Bendix, J. & Thies, B. (2015): Development of an image pre-processor for operational hyperspectral laryngeal cancer detection. J. Biophotonics 9(3), 235-245.
• Lehnert, L.; Meyer, H.; Wang, Y.; Miehe, G.; Thies, B.; Reudenbach, C. & Bendix, J. (2015): Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach. Remote Sensing of Environment 164, 197-207.
• Curatola Fernández, G.F.; Obermeier, W.; Gerique, A.; López Sandoval, M.F.; Lehnert, L.; Thies, B. & Bendix, J. (2015): Land Cover Change in the Andes of Southern Ecuador - Patterns and Drivers. Remote Sensing 7(3), 2509-2542.
• Rüthrich, F.; Thies, B.; Reudenbach, C. & Bendix, J. (2015): Lake effects on cloud dynamics on the Tibetan Plateau.. Journal of Climate 28, 9080-9104.
• 2014
• Schulz, M.; Thies, B.; Chang, S. & Bendix, J. (2014): Automatic cloud top height determination in mountainous areas using a cost-effective time-lapse camera system . Atmospheric Measurement Techniques 7, 4185 - 4201.
• 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.; Maier, F.; Bendix, J. & Thies, B. (2014): Vertical distribution of microphysical properties in radiation fogs - A case study. Atmospheric Research 151, 130-145.
• Kühnlein, M.; Appelhans, T.; Thies, B. & Nauss, T. (2014): Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI. Remote Sensing of Environment 141, 129–143.
• Wagemann, J.; Thies, B.; Rollenbeck, R.; Peters, T. & Bendix, J. (2014): Regionalization of wind speed data to analyse tree-line wind conditions in the eastern Andes of southern Ecuador. Erdkunde 69(1), 3-19.
• 2013
• Rüthrich, F.; Thies, B.; Reudenbach, C. & Bendix, J. (2013): Cloud Detection and Analysis on the Tibetan Plateau using Meteosat and CloudSat.. Journal of Geophysical Research - Atmospheres 118, 10082–10099.
• Curatola Fernández, G.F.; Silva, B.; Gawlik, J.; Thies, B. & Bendix, J. (2013): Bracken fern frond status classification in the Andes of southern Ecuador: combining multispectral satellite data and field spectroscopy. International Journal of Remote Sensing 34, 7020-7037.
• Maier, F.; Bendix, J. & Thies, B. (2013): Development and application of a method for the objective differentiation of fog life cycle phases. Tellus Series B Chemical and Physical Meteorology 65, 19971.
• Kühnlein, M.; Appelhans, T.; Thies, B.; Kokhanovsky, A. & Nauss, T. (2013): An evaluation of a semi-analytical cloud property retrieval using MSG SEVIRI, MODIS and CloudSat. Atmospheric Research 122, 111–135.
• Bendix, J.; Dislich, C.; Huth, A.; Huwe, B.; Ließ, M.; Schröder, B.; Thies, B.; Vorpahl, P.; Wagemann, J. & Wilcke, W. (2013): Natural landslides which impact current Regulating Services: Environmental preconditions and modelling. Ecological Studies 221, 153-170.
• Roos, K.; Bendix, J.; Curatola Fernández, G.F.; Gawlik, J.; Gerique, A.; Hamer, U.; Hildebrandt, P.; Knoke, T.; Meyer, H.; Pohle, P.; Potthast, K.; Thies, B.; Tischer, A. & Beck, E. (2013): Current provisioning services: Pasture development and use, weeds (Bracken) and management. Ecological Studies 221, 205-218.
• Gerstner, A.O.; Martin, R.; Westermann, S.; Mahnlein, A.; Schmidt, K.; Thies, B. & Laffers, W. (2013): Hyperspectral Imaging in der Kopf-Hals-Onkologie. Laryngo-Rhino-Otologie 92(7), 453-457.
• 2012
• Schulz, M.; Thies, B.; Cermak, J. & Bendix, J. (2012): 1km fog and low stratus detection using pan-sharpened MSG SEVIRI data. Atmospheric Measurement Techniques 5, 2469– 2480.
• Thies, B.; Meyer, H.; Nauss, T. & Bendix, J. (2012): Projecting land-use and land-cover changes in a tropical mountain forest of Southern Ecuador. Journal of Land Use Science 9(1), 1-33.
• Gerstner, A.O.; Laffers, W.; Bootz, F.; Farkas, D.L.; Martin, R.; Bendix, J. & Thies, B. (2012): Hyperspectral imaging of mucosal surfaces in patients. Journal of Biophotonics 5(3), 255-262.
• Gerstner, A.O.; Laffers, W.; Schade, G.; Goke, F.; Martin, R. & Thies, B. (2012): Endoscopy of the larynx by hyperspectral imaging. HNO 60, 1047-1052.
• 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.
• Martin, R.; Thies, B. & Gerstner, A.O. (2012): Hyperspectral hybrid method classification for detecting altered mucosa of the human larynx. International Journal of Health Geographics 11, 21.
• 2011
• Thies, B. & Bendix, J. (2011): Satellite based remote sensing of weather and climate: recent achievements and future perspectives. Meteorological Applications 18, 262-295.
• 2010
• Thies, B.; Turek, A.; Nauss, T. & Bendix, J. (2010): Weather type dependent quality assessment of a satellite-based rainfall detection scheme for the mid-latitudes. Meteorology and Atmospheric Physics 107, 81-89.
• Kühnlein, M.; Thies, B.; Nauss, T. & Bendix, J. (2010): Rainfall-Rate Assignment Using MSG SEVIRI Data—A Promising Approach to Spaceborne Rainfall-Rate Retrieval for Midlatitudes. Journal of Applied Meteorology and Climatology 49, 1477-1495.
• 2008
• Thies, B.; Nauss, T. & Bendix, J. (2008): Discriminating raining from non-raining cloud areas at mid-latitudes using Meteosat Second Generation SEVIRI daytime data. Atmospheric Chemistry and Physics 8, 2341-2349.
• Thies, B.; Nauss, T. & Bendix, J. (2008): Discriminating raining from non-raining cloud areas at mid-latitudes using Meteosat Second Generation SEVIRI nighttime data. Meteorological Applications 15, 219-230.
• Thies, B.; Nauss, T. & Bendix, J. (2008): Precipitation process and rainfall intensity separation using Meteosat Second Generation SEVIRI data. Journal of Geophysical Research - Atmosphere 133, D23206.
• Thies, B.; Nauss, T. & Bendix, J. (2008): First results on a process-oriented rain area classification technique using Meteosat Second Generation SEVIRI nighttime data. Advances in Geosciences 16, 63-72.
• 2007
• Früh, B.; Bendix, J.; Nauss, T.; Paulat, M.; Pfeiffer, A.; Schipper, J.W.; Thies, B. & Wernli, H. (2007): Verification of precipitation from regional climate simulations and remote-sensing observations with respect to ground-based observations in the upper Danube catchment. Meteorologische Zeitschrift 16(3), 275-293.
• 2006
• 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.
• 2005
• Bendix, J.; Thies, B.; Cermak, J. & Nauss, T. (2005): Ground fog detection scheme from space based on MODIS daytime data - a feasibilty study. Weather and Forecasting 20, 989-1005.

Other:

• 2023
• Vorndran, M.; Schütz, A.; Bendix, J. & Thies, B. (2023-07-27). Pointwise Machine Learning Based Radiation Fog Nowcast with Station Data in Germany. Presented at 9th International Conference on Fog, Fog Collection, and Dew, Fort Collins, Colorado, USA.
• Doumbia, B.; Adefisan, E.; Omotosho, J.; Thies, B. & Bendix, J. 2023: Evaluation of CMIP5 and CMIP6 Performance in Simulating West African Precipitation.: Lecture Notes in Networks and Systems 668 (Springer).
• 2022
• Vorndran, M.; Schütz, A.; Bendix, J. & Thies, B. (2022-09-16). The effect of filtering and preprocessed temporal information on a classification based machine learning model for radiation fog nowcasting. Presented at AK Klima, Würzburg.
• 2021
• Vorndran, M.; Schütz, A.; Bendix, J. & Thies, B. (2021-11-05). Training and validation weaknesses in pointwise classification-based radiation fog forecast using machine learning algorithms . Presented at AK Klima, Passau.
• 2019
• Vorndran, M.; Thies, B. & Bendix, J. (2019-10-26). Forecasting radiation fogbycombining station measurementsandsatellite data usingmachine learning. Presented at AK Klima, Jesteburg.
• 2016
• Lehnert, L.; Achilles, S.; Schmidt, J.; Büdel, B.; Osses, P.; Thies, B. & Bendix, J., Fog research in the southern Atacama: Measurement setup and first results of the new EarthShape project(2016).
• Thies, B.; Nauss, T.; Reudenbach, C.; Cermak, J. & Bendix, J. (2016): Mean Number of Storm Days. In: Mauser, Wolfram, Prasch, Monika (eds.): Regional Assessment of Global Change Impacts ( ), Springer, 271-277.
• 2013
• Peters, T.; Drobnik, T.; Meyer, H.; Rankl, M.; Richter, M.; Rollenbeck, R.; Thies, B. & Bendix, J. (2013): Environmental Changes Affecting the Andes of Ecuador. In: Bendix, J., Beck, E., Bräuning, A., Makeschin, F., Mosandl, R., Scheu, S., Wilcke, W. (eds.): Ecosystem Services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South ( ), Springer, Berlin, 20-34.
• Windhorst, D.; Silva, B.; Peters, T.; Meyer, H.; Thies, B.; Bendix, J.; Frede, H. & Breuer, L. (2013): Impacts of Local Land-Use Change on Climate and Hydrology. In: Bendix, J., Beck, E., Bräuning, A., Makeschin, F., Mosandl, R., Scheu, S., Wilcke, W. (eds.): Ecosystem Services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South ( ), Springer, Berlin, 307-320.
• 2008
• Thies, B. (2008): A novel day/night-technique for area-wide precipitation retrieval over Central Europe using MSG SEVIRI data Philipps-University-Marburg, phd thesis
• Nauss, T.; Thies, B.; Turek, A.; Bendix, J. & Kokhanovsky, A. (2008): Operational discrimination of raining from non-raining clouds in mid-latitudes using multispectral satellite data. In: Michaelides, S. (eds.): Precipitation: Advances in measurement, estimation and prediction ( ), Springer.
• 2006
• Thies, B.; Nauss, T.; Reudenbach, C.; Cermak, J. & Bendix, J. (2006): Teilprojekt Niederschlag / Fernerkundung - Mittlere Anzahl von Gewittertagen von Mai bis September der Jahre 1995-1999. In: GLOWA-Danube-Projekt (eds.): Global Change Atlas Obere Donau ( ), Universität München, Department für Geo- und Umweltwissenschaften.
• 2004
• 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.
• Bendix, J.; Thies, B. & Cermak, J., Fog detection with TERRA-MODIS and MSG-SEVIRI(EUMETSAT, 2004), pp. 429-435.
• 2003
• Bendix, J.; Eckel, M.; Grljusic, D.; Reudenbach, C. & Thies, B. (2003): Begleitende Klimastudie Gemeinde Lahntal, Issue . Marburg.