Profile
Abstract
You can find my personal web page at https://monsun.meteo.uni-leipzig.de/~dokuwiki/doku.php?id=user:heikekalesse.
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 – B07Kalesse-Los, HeikeDuration: 01/2020 - 12/2023Funded by: DFG Deutsche ForschungsgemeinschaftInvolved organisational units of Leipzig University: Arktische Klimaveränderung; SFB Transregio 172: Arktische Verstärkung: Klimarelevante Atmosphären- und Oberflächenprozesse und Rückkopplungsmechanismen (AC)3
- 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 loadKalesse-Los, HeikeDuration: 11/2018 - 12/2023Funded by: DFG Deutsche ForschungsgemeinschaftInvolved organisational units of Leipzig University: Arktische Klimaveränderung
- Ground-based remote sensing of the atmosphere for improving the characterization of microphysical cloud properties and for improving the load prediction of renewable energiesKalesse-Los, HeikeDuration: 09/2018 - 02/2022Funded by: EU Europäischer Sozialfond (ESF)Involved organisational units of Leipzig University: Arktische Klimaveränderung
- 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 processesAtmos. Chem. Phys.. 2021. pp. 17291-17314
- 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. 365-381DOI: 10.5194/amt-2021-137
- Foth, A.; Zimmer, J.; Lauermann, F.; Kalesse-Los, H.Evaluation of micro rain radar-based precipitation classification algorithms to discriminate between stratiform and convective precipitationAtmos. Meas. Tech. 2021. pp. 4565-4574
- Stevens, B.; Bony, S.; Farrell, D. et al.EUREC(4)AEarth System Science Data. 2021. pp. 4067-4119
- 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 networksAtmos. Meas. Tech. Discuss.. 2022. pp. 1-35DOI: 10.5194/amt-2022-149
Junior-professor for Remote Sensing of the Atmosphere and the Arctic Climatesystem