• Precipitation detection using data from commercial microwave links

• Data fusion of different precipitation sensors

• Machine learning and HPC infrastructure for analysis and data processing

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C. Moroder, U. Siart, C. Chwala and H. Kunstmann, 2019: Modeling of Wet Antenna Attenuation for Precipitation Estimation From Microwave Links, IEEE Geoscience and Remote Sensing Letters. doi: 10.1109/LGRS.2019.2922768

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Chwala, C. and Kunstmann, H., 2019: Commercial microwave link networks for rainfall observation: Assessment of the current status and future challenges. Wiley Interdiscip. Rev. Water 6, e1337. https://doi.org/10.1002/wat2.1337

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Haese, B., H?rning, S., Chwala, C., Bárdossy, A., Schalge, B., Kunstmann, H., 2017: Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges. Water Resources Research, 53, 10,740-10,756.

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Smiatek, G., Keis, F., Chwala, C., Fersch, B., and Kunstmann, H., 2017: Potential of commercial microwave link network derived rainfall for river runoff simulations, Environ. Res. Lett. 12 034026.

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Chwala, C., Keis, F., and Kunstmann, H., 2016: Real-time data acquisition of commercial microwave link networks for hydrometeorological applications, Atmos. Meas. Tech., 9, 991-999, doi:10.5194/amt-9-991-2016