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Integrated Remote Sensing


We develop and apply novel observation techniques to better understand the processes determining the atmospheric water cycle. Observations and process knowledge are used to evaluate models in order to arrive at better weather forecasts and climate predictions.

Topical Research Areas:

Methodological Research Areas:

Selected Publications:

  • Acquistapace, C., S. Kneifel, U. Löhnert, P. Kollias, M. Maahn, and M. Bauer-Pfundstein, 2017: Optimizing observations of drizzle onset with millimeter-wavelength radars, Atmos. Meas. Tech., 10, 1783-1802, doi:10.5194/amt-10-1783-2017.
  • Ebell, K., U. Löhnert, E. Päschke, E. Orlandi, J. H. Schween, and S. Crewell, 2017: A 1-D variational retrieval of temperature, humidity, and liquid cloud properties: Performance under idealized and real conditions, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD025945.
  • Maahn, M. and U. Löhnert, 2017: Potential of higher-order moments and slopes of the radar Doppler spectrum for retrieving microphysical and kinematic properties of Arctic ice clouds, J. Appl. Meteor. Climatol., 56, 263-282, doi: 10.1175/JAMC-D-16-0020.1.
  • Küchler, N., S. Kneifel, U. Löhnert, P. Kollias, H. Czekala, T. Rose, 2017: A W-band radar-radiometer system for accurate and continuous monitoring of clouds and precipitation, J. Atmos. Oceanic Tech., https://doi.org/10.1175/JTECH-D-17-0019.1.
  • Schnitt, S., E. Orlandi, M. Mech, A. Ehrlich, and S. Crewell: Characterisation of Water Vapor and Clouds during the Next-Generation Aircraft Remote-sensing for Validation (NARVAL)-South studies, IEEE Journal on Selected Topics in Earth Observation and Remote Sensing (JSTARS), doi:10.1109/JSTARS.2017.2687943.

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