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Teresa Vogl is doing her PhD on microphysical growth processes in mixed-phase clouds.

• Vogl, T.; Maahn, M.; Kneifel, S.; Schimmel, W.; Moisseev, D.; Kalesse-Los, H.

  Using artificial neural networks to predict riming from Doppler cloud radar observations

  Atmospheric Measurement Techniques. 2022. 15 (2). pp. 365–381.

  DOI: 10.5194/amt-15-365-2022
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• Vogl, T.; Hrdina, A.; Thomas, C. K.

  Choosing an optimal β factor for relaxed eddy accumulation applications across vegetated and non-vegetated surfaces

  Biogeosciences. 2021. 18 (18). pp. 5097–5115.

  DOI: 10.5194/bg-18-5097-2021
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• Vogl, T.; Radenz, M.; Ramelli, F.; Gierens, R.; Kalesse-Los, H.

  PEAKO and peakTree: tools for detecting and interpreting peaks in cloud radar Doppler spectra – capabilities and limitations

  Atmos. Meas. Tech.. 2024. 17 (22). pp. 6547–6568.

  DOI: 10.5194/amt-17-6547-2024
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