Profile

Professional career

• since 04/2018
  W1 (Tenure Track) Professorship for Arctic Climat Change
• 01/2015 - 01/2018
  Scientist; Leibniz Institute for Tropospheric Research, Leipzig
• 09/2011 - 10/2014
  Postdoctoral Research Associate; McGill University, Montreal, Canada

Education

• 05/2006 - 06/2010
  Doctor of Natural Science in Atmospheric Physics; Johannes Gutenberg University, Mainz
• 10/2000 - 03/2006
  Diplom of Meteorology; University Leipzig

• Remote sensing of the Arctic climate system

• Cloud radar Doppler spectra analysis

• Atmospheric retrieval algorithm development

• Synergystic profiling with remote sensing instruments for atmospheric research

• Microphysics, dynamics, and radiative impact of clouds

• Influence of sea ice leads or polynyas on Arctic cloud properties – B07

  Kalesse-Los, Heike

  Duration: 01/2020 - 12/2023

  Funded by: DFG Deutsche Forschungsgemeinschaft

  Involved organisational units of Leipzig University: Arktische Klimaveränderung; SFB Transregio 172: Arktische Verstärkung: Klimarelevante Atmosphären- und Oberflächenprozesse und Rückkopplungsmechanismen (AC)3
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• Polarimetry Influenced by CCN aNd INP in Cyprus and Chile (PICNICC): An assessment of hemispheric cloud polarimetric contrasts and its relation to differences in aerosol load

  Kalesse-Los, Heike

  Duration: 11/2018 - 12/2023

  Funded by: DFG Deutsche Forschungsgemeinschaft

  Involved organisational units of Leipzig University: Arktische Klimaveränderung
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• Ground-based remote sensing of the atmosphere for improving the characterization of microphysical cloud properties and for improving the load prediction of renewable energies

  Kalesse-Los, Heike

  Duration: 09/2018 - 02/2022

  Funded by: EU Europäischer Sozialfond (ESF)

  Involved organisational units of Leipzig University: Arktische Klimaveränderung
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more projects

• Trömel, S.; Simmer, C.; Blahak, U. et al.

  Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes

  Atmos. Chem. Phys.. 2021. pp. 17291-17314

  DOI: 10.5194/acp-21-17291-2021
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• 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. 2021. pp. 365-381

  DOI: 10.5194/amt-2021-137
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• Foth, A.; Zimmer, J.; Lauermann, F.; Kalesse-Los, H.

  Evaluation of micro rain radar-based precipitation classification algorithms to discriminate between stratiform and convective precipitation

  Atmos. Meas. Tech. 2021. pp. 4565-4574

  DOI: 10.5194/amt-14-4565-2021
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• Stevens, B.; Bony, S.; Farrell, D. et al.

  EUREC(4)A

  Earth System Science Data. 2021. pp. 4067-4119

  DOI: 10.5194/essd-13-4067-2021
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• Schimmel, W.; Kalesse-Los, H.; Maahn, M.; Vogl, T.; Foth, A.; Saavedra Garfias, P. A.; Seifert, P.

  Identifying cloud droplets beyond lidar attenuation from vertically-pointing cloud radar observations using artificial neural networks

  Atmos. Meas. Tech. Discuss.. 2022. pp. 1-35

  DOI: 10.5194/amt-2022-149
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more publications

Junior-professor for Remote Sensing of the Atmosphere and the Arctic Climatesystem