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Publications

In the following you will find a list of the publications of the Remote Sensing and Arctic Climate System working Group, which provides an overview of all research activities and interests. Each publication reflects the efforts to contribute to the further development of the field and to address relevant topics.

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The results of our research are published in scientific journals on a regular basis (symbolic image). Photo: Colourbox

Published papers

Note: Some publications of Heike Kalesse-Los have appeared under her maiden name Heike Eichler.

  • P. Saavedra Garfias, H. Kalesse-Los, Observed modulation of wintertime Western Arctic mixed-phase cloud properties by sea ice conditions, their long-term variabilities and trends" EGUSshere-2025-2327 (prepint) DOI:10.5194/egusphere-2025-2327.
  • Teisseire, A.; Billault-Roux, A.-C.; Vogl, T.; Seifert, P., Attribution of riming and aggregation processes by application of the vertical distribution of particle shape (VDPS) and spectral retrieval techniques to cloud radar observations, Atmospheric Measurement Techniques. 2025, 18/6, 1499–1517, 2025, DOI:10.5194/amt-18-1499-2025.

  • RLochmann, M.; Kalesse-Los, H.; Haest, B.; Vogl, T.; van Klink, R.; Addison, F. I.; Maahn, M.; Schimmel, W.; Wirth, C.; Quaas, J.: Derivation of aerial insect concentration with a 94GHz FMCW cloud radar, 2024, DOI:10.1101/2024.07.30.605781.
  • Teisseire, A.; Billault-Roux, A.-C.; Vogl, T.; Seifert, P.: Attribution of riming and aggregation processes by application of the vertical distribution of particle shape (VDPS) and spectral retrieval techniques to cloud radar observations 2024. , DOI:10.5194/egusphere-2024-2711.
  • Barahona, D.; Breen, K. H.; Kalesse-Los, H.; Röttenbacher, J.: Deep learning parameterization of vertical wind velocity variability via constrained adversarial training, Artif. Intell. Earth Syst. 2024. 3 (1)., DOI:10.1175/aies-d-23-0025.1
  • Roschke, J., Witthuhn, J., Klingebiel, M., Haarig, M., Foth, A., Kötsche, A., and Kalesse-Los, H.: Discriminating between drizzle or rain and sea salt aerosols in Cloudnet for measurements over the Barbados Cloud Observatory, Preprint egusphere-2024-894, doi:10.5194/egusphere-2024-894.
  • 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). S. 6547–6568 , DOI:10.5194/amt-17-6547-2024.
  • Foth, A.; Lochmann, M.; Garfias, P. S.; Kalesse-Los, H.: Determination of low-level temperature profiles from microwave radiometer observations during rain,  Atmos. Meas. Tech. 2024. 17 (24). S. 7169–7181, DOI10.5194/amt-17-7169-2024.
  • Schnitt, S. Foth, A., Kalesse-Los, H., Mech, M., Acquistapace, C., Jansen, F., Löhnert, U., Pospichal, B., Röttenbacher, J., Crewell, S., Stevens, B.: Ground- and ship-based microwave radiometer measurements during EUREC4A. Earth Systems Science Data, Earth Syst. Sci. Data. 2024. 16 (1). S. 681–700. DOI:10.5194/essd-16-681-2024.

  • Saavedra Garfias, P. A.; Kalesse-Los, H.; von Albedyll, L.; Griesche, H.; Spreen, G. Asymmetries in cloud microphysical properties ascribed to sea ice leads via water vapour transport in the central Arctic, Atmospheric Chemistry and Physics. 2023. 23 (22). S. 14521–14546. doi:10.5194/acp-23-14521-2023,
  • Rizik, A.; Battaglia, A.; Tridon, F.; Scarsi, F. E.; Kötsche, A.; Kalesse-Los, H.; Maahn, M.; Illingworth, A. Impact of Crosstalk on Reflectivity and Doppler Measurements for the WIVERN Polarization Diversity Doppler Radar, IEEE Transactions on Geoscience and Remote Sensing. 2023. S. 1–14. doi: 10.1109/tgrs.2023.3320287
  • Kalesse-Los, H., Kötsche, A., Foth, A., Röttenbacher, J., Vogl, T., and Witthuhn, J.: The virga sniffer – a new tool to identify precipitation evaporation using ground-based remote-sensing observations. Atmospheric Measurement Techniques, 16(6):1683–1704 (2023), doi:10.5194/amt-16-1683-2023.
  • Linke, O. et al., including Kalesse-Los, H.: Constraints on simulated past Arctic amplification and lapse-rate feedback from observations, Atmos. Chem. Phys. Discuss. [preprint], doi:10.5194/acp-2022-836, revised version accepted, 2023.
  • Lochmann, M., Kalesse-Los, H., Schäfer, M., Heinrich, I. Leinweber, R.: Analysing wind power ramp events and improving very short-term wind power predictions by including wind speed observations. Wind Energy, 26(6):573–388 (2023), doi:10.1002/we.2816.
  • Wendisch, M. et al., including Kalesse-Los, H.: Atmospheric and Surface Processes, and Feedback Mechanisms Determining Arctic Amplification: A Review of First Results and Prospects of the (AC)3 Project. Bull. Amer. Meteor. Soc., 104, E208–E242 (2023). doi:10.1175/BAMS-D-21-0218.1
  • Lochmann, Moritz;  Kalesse-Los Heike; Schäfer, Michael; Heinrich, Ingrid; Leinweber, Ronny, Analysing wind power ramp events and improving very short-term wind power predictions by including wind speed observations, Wind Energy 26/6, 573-588, doi:10.1002/we.2816.
  • Schimmel,W. Barrientos Velasco, C., Witthuhn, J., Radenz, M., Barja, B., Kalesse-Los, H.: Improved cloud phase retrievals based on remote-sensing observations have the potential to decrease the Southern Ocean shortwave cloud radiation bias. ESS Open Archive . April 18, 2023., doi:10.22541/essoar.168182347.76241143/v1.

  • Mahecha, M.D., Bastos, A., Bohn, F.J., Eisenhauer, N., Feilhauer, H., Hartmann, H., Hickler, T., Kalesse-Los, H., Migliavacca, M., Otto, F.E.L., Peng, J., Quaas, J., Tegen, A., Wendisch, M., and Wirth, C.: Biodiversity loss and climate extremes—study the feedbacks. Nature, 612(7938):30–32, (2022), doi:10.1038/d41586-022-04152-y.
  • Schimmel, W., Kalesse-Los, H., Maahn, M., Vogl, T. Foth, A., Saavedra Garfias, P., Seifert, P.:Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks. Atmospheric Measurement Techniques, 15(18):5343–5366 (2022).
  • Kalesse-Los, Heike; Schimmel, Willi;  Luke, Edward; Seifert, Patrick, 2022, Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network, Atmos. Meas. Tech., 15, 279–295, doi:10.5194/amt-15-279-2022.
  • Vogl, Teresa; Maahn, Maximilian; Kneifel, Stefan; Schimmel, Willi; Moisseev; Dmitri; Kalesse-Los, Heike, 2022, Using artificial neural networks to predict riming from Doppler cloud radar observations, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2021-137.

  • Trömel, S. et al., including Kalesse-Los, H.: Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes, Atmos. Chem. Phys., 21:17291–17314(2021), doi.org/10.5194/acp-21-17291-2021
  • Stevens, B. et al., including Kalesse-Los, H.: EUREC4A, Earth System Science Data,13(8):4067–4119 (2021).
  • Hartmann, M.; Gong, X.; Kecorius, S.; van Pinxteren, M.; Vogl, T.; Welti, A.; Wex, H.; Zeppenfeld, S.; Herrmann, H.; Wiedensohler, A.; Stratmann, F. , 2021, Terrestrial or marine – indications towards the origin of ice-nucleating particles during melt season in the European Arctic up to 83.7°N, Atmospheric Chemistry and Physics. 2021. S. 11613-11636, doi:10.5194/acp-21-11613-2021.
  • Foth, A.; Zimmer, J.; Lauermann, F.; Kalesse-Los, H., 2021, Evaluation of micro rain radar-based precipitation classification algorithms to discriminate between stratiform and convective precipitation, Atmos. Meas. Tech. 2021. S. 4565-4574, doi:10.5194/amt-14-4565-2021

  • Bromwich, D., Werner, K., Casati, B., Powers, J., Gorodetskaya, I., Massonnet, F., Vitale, V., Heinrich, V., Liggett, D., Arndt, S., Barja, B., Bazile, E., Carpentier, S., Carrasco, J., Choi, T., Choi, Y., Colwell, S., Cordero, R., Gervasi, M., Haiden, T., Hirasawa, N., Inoue, J., Jung, T., Kalesse, H., Kim, SJ., Lazzara, M., Manning, K., Norris, K., Park, S-J., Reid, P., Rigor, I., Rowe, P., Schmithüsen, H., Seifert, P., Sun, Q., Uttal, T., Zannoni, M., and Zou, X.: The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH), Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-19-0255.1, 2020
  • Foth, A., Zimmer, J., Lauermann, F., and Kalesse, H.: Evaluation of micro rain radar-based precipitation classification algorithms to discriminate between stratiform and convective precipitation, Atmos. Meas. Tech., doi:10.5194/amt-2020-290, 2020
  • Ohneiser, K., Ansmann, A., Baars, H., Seifert, P., Barja, B., Jimenez, C., Radenz, M., Teisseire, A., Floutsi, A., Haarig, M., Foth, A., Chudnovsky, A., Engelmann, R., Zamorano, F., Bühl, J., and Wandinger, U.: Smoke of extreme Australian bushfires observed in the stratosphere over Punta Arenas, Chile, in January 2020: optical thickness, lidar ratios, and depolarization ratios at 355 and 532 nm, Atmos. Chem. Phys., 20, 8003–8015, doi:10.5194/acp-20-8003-2020, 2020.

  • Foth, A., Kanitz, T., Engelmann, R., Baars, H., Radenz, M., Seifert, P., Barja, B., Fromm, M., Kalesse, H., and Ansmann, A.: Vertical aerosol distribution in the southern hemispheric midlatitudes as observed with lidar in Punta Arenas, Chile (53.2° S and 70.9° W), during ALPACA, Atmos. Chem. Phys., 19, 6217-6233, 2019. doi:/10.5194/acp-19-6217-2019.
  • Kalesse, H., Vogl, T., Paduraru, C., and Luke, E.: Development and validation of a supervised machine learning radar Doppler spectra peak finding algorithm, Atmos. Meas. Tech., 2019. doi:org/10.5194/amt-12-4591-2019

  • Wendisch, M., A. Macke, A. Ehrlich, C. Lüpkes, M. Mech, D. Chechin, K. Dethloff, C. Barientos, H. Bozem, M. Brückner, H. Clemen, S. Crewell, T. Donth, R. Dupuy, K. Ebell, U. Egerer, R. Engelmann, C. Engler, O. Eppers, M. Gehrmann, X. Gong, M. Gottschalk, C. Gourbeyre, H. Griesche, J. Hartmann, M. Hartmann, B. Heinold, A. Herber, H. Herrmann, G. Heygster, P. Hoor, S. Jafariserajehlou, E. Jäkel, E. Järvinen, O. Jourdan, U. Kästner, S. Kecorius, E.M. Knudsen, F. Köllner, J. Kretzschmar, L. Lelli, D. Leroy, M. Maturilli, L. Mei, S. Mertes, G. Mioche, R. Neuber, M. Nicolaus, T. Nomokonova, J. Notholt, M. Palm, M. van Pinxteren, J. Quaas, P. Richter, E. Ruiz-Donoso, M. Schäfer, K. Schmieder, M. Schnaiter, J. Schneider, A. Schwarzenböck, P. Seifert, M.D. Shupe, H. Siebert, G. Spreen, J. Stapf, F. Stratmann, T. Vogl, A. Welti, H. Wex, A. Wiedensohler, M. Zanatta, and S. Zeppenfeld, 2018: The Arctic Cloud Puzzle: Using ACLOUD/PASCAL Multi-Platform Observations to Unravel the Role of Clouds and Aerosol Particles in Arctic Amplification. Bull. Amer. Meteor. Soc., 0, doi:10.1175/BAMS-D-18-0072.1.

  • Barahona, D.; Molod, A., and Kalesse, H.: Direct Estimation of the global distribution of vertical velocity within cirrus clouds, Nature Scientific Reports, Scientific Reports 7, Article number: 6840 (2017) doi:10.1038/s41598-017-07038-6
    doi:10.1038/s41598-017-07038-6
  • P.R. Field, R.P. Lawson, P.R.A Brown, G. Lloyd, C. Westbrook, D. Moisseev, A. Miltenberger, A. Nenes, A. Blyth, T. Choularton, P. Connolly, J. Bühl, J. Croisier, Z. Cui, C. Dearden, P. deMott, A. Flossmann, A. Heymsfield, Y. Huang, H. Kalesse, Z.A., Kanji, A. Korolev, A. Kirchgaessner, S. Lasher-Trapp, T. Leisner, G. McFarquhar, V. Phillips, J. Stith, and S. Sullivan, 2017: Secondary Ice Production: Current State of the Science and Recommendations for the Future, AMS Meteorological Monograph, Ch. 7, 2017, doi:10.1175/AMSMONOGRAPHS-D-16-0014.1.
  • J. Bühl, S. Alexander, S. Crewell, A. Heymsfield, H. Kalesse, A. Khain, M. Maahn, K. Van Tricht, and M. Wendisch, 2017: Remote Sensing, AMS Meteorological Monograph, Ch. 10, 2017, doi.org/10.1175/AMSMONOGRAPHS-D-16-0015.1.
  • Foth, A. and Pospichal, B.: Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer, Atmos. Meas. Tech., 10, 3325-3344, doi.org/10.5194/amt-10-3325-2017, 2017.
  • Foth, A.: Optimal estimation of water vapour profiles using a combination of Raman lidar and microwave radiometer , Ph.D. thesis, Faculty of Physics and Earth Science, University of Leipzig, 2017.
  • Macke, A. et al. including Foth, A.: The HD(CP)2 Observational Prototype Experiment HOPE – An Overview, Atmos. Chem. Phys., doi:10.5194/acp-17-4887-2017, 2017, doi:10.5194/acp-17-4887-2017.

  • Kalesse, H.; de Boer, Gijis; Solomon, Amy; Oue, Mariko; Ahlgrimm, Maike; Zhang, Damao; Shupe, Matthew D.; Luke, Edward; Protat, Alain, 2016: Understanding rapid changes in phase partitioning between cloud liquid and ice in stratiform mixed-phase clouds: An Arctic Case Study, Mon. Wea. Rev., 144, doi:10.1175/MWR-D-16-0155.1.
  • Kalesse, H.; Szyrmer, W.; Kneifel, S.; Kollias, P.; Luke, E., 2016: Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling, Atm. Chem. and Phys., 16.
  • Kneifel, S.; Kollias, P.; Battaglia, A.; Leinonen, J.; Maahn, M.; Kalesse, H.; Tridon, F., 2016: First observations of triple-frequency radar Doppler spectra in snowfall: Interpretation and applications, Geophys. Res. Lett., 43, doi/10.1002/2015GL067618.
  • Foth, A., Baars, H., Di Girolamo, P., and Pospichal, B.: Continuous Time Series of Water Vapor Profiles from a Combination of Raman Lidar and Microwave Radiometer, EPJ Web of Conferences, 119, 05001, doi:10.1051/epjconf/201611905001, 2016. doi.org/10.1051/epjconf/201611905001.
  • Baars, H. et al. including Foth, A.: An overview of the first decade of PollyNET: an emerging network of automated Raman-polarization lidars for continuous aerosol profiling, Atmos. Chem. Phys., 16, 5111-5137, doi:10.5194/acp-16-5111-2016, 2016.doi.org/10.5194/acp-16-5111-2016.

  • Zermeño-Díaz, D., C. Zhang, P. Kollias, and H. Kalesse, 2015: The Role of Shallow Cloud Moistening in MJO and Non-MJO Convective Events over the ARM Manus Site. J. Atmos. Sci., 72, 4797–4820. doi:10.1175/JAS-D-14-0322.1.
  • Foth, A., Baars, H., Di Girolamo, P., and Pospichal, B.: Water vapour profiles from Raman lidar automatically calibrated by microwave radiometer data during HOPE, Atmos. Chem. Phys., 15, 7753-7763, doi:10.5194/acp- 5-7753-2015, 2015. doi:10.5194/acp-15-7753-2015.

  • Muhlbauer, A., H. Kalesse, and P. Kollias, 2014: Vertical velocities in midlatitude anvil cirrus: A comparison between in situ aircraft measurements and ground-based Doppler cloud radar retrievals, Geophys. Res. Lett., 41, doi:10.1002/2014GL062279.
  • Deng, M., P. Kollias, Z. Feng, C. Zhang, C.N. Long, H. Kalesse, A. Chandra, V.V. Kumar, P.A.Protat, 2014. Stratiform and convective precipitation observed by multiple radars during the DYNAMO/AMIE experiment. J. Appl. Met.Clim., 53, doi:10.1175/JAMC-D-13-0311.1.
  • Kanitz, T., Ansmann, A., Foth, A., Seifert, P., Wandinger, U., Engelmann, R., Baars, H., Althausen, D., Casiccia, C., and Zamorano, F.: Surface matters: limitations of CALIPSO V3 aerosol typing in coastal regions, Atmos. Meas. Tech., 7, 2061-2072, doi:10.5194/amt-7-2061-2014, 2014. doi:10.5194/amt-7-2061-2014.

  • Kalesse, H., P. Kollias, W. Szyrmer, 2013. On using the relationship between Doppler velocity and radar reflectivity to identify microphysical processes in midlatitudinal ice clouds. J. Geophys. Res., 118, D020386, doi:10.1002/2013JD020386
  • Kalesse, H. and P. Kollias, 2013. Climatology of High Cloud Dynamics Using Profiling ARM Doppler Radar Observations. J. Climate, 26, 6340–6359. doi:10.1175/JCLI-D-12-00695.1

  • Kanitz T., Foth, A., Wandinger U., Ansmann A., Engelmann R., Althausen D., Casiccia C., and Zamorano F.: CALIOP observations in coastal regions at southern midlatitudes compared to PollyXT measurements, Reviewed extended abstracts of the 26th International Laser Radar Conference (ILRC), Porto Heli, Greece, 25 - 29 June, 2012.

  • Gong, Y., Hu, M., Cheng, Y.F., Su, H., Yue, D., Liu, F., Wiedensohler, A., Wang, Z., Kalesse, H., Liu, S., Wu, Z., Xiao, K., Mi, P., Zhang, Y., 2010. Competition of coagulation sink and source rate: new particle formation in the Pearl River Delta of China. Atmos. Environ., 44, 3278-3285, doi:10.1016/j.atmosenv.2010.05.049.
  • Schmale, J., Schneider, J., Jurkat, T., Voigt, C., Kalesse, H., Rautenhaus, M., Lichtenstern, M., Schlager, H., Ancellet, G., Arnold, F., Gerding, M., Mattis, I., Wendisch, M., Borrmann, S., 2010. Aerosol layers from the 2008 eruptions of Mount Okmok and Mount Kasatochi: In situ upper troposphere and lower stratosphere measurements of sulfate and organics over Europe. J. Geophys. Res., 115, D00L07, doi:10.1029/2009JD01362.
  • Schmidt, K. S., P. Pilewskie, B. Mayer, M. Wendisch, B. Kindel, S. Platnick, M. D. King, G. Wind, G. T. Arnold, L. Tian, G. Heymsfield, Kalesse, H., 2010. Apparent Absorption of Solar Spectral Irradiance in Heterogeneous Ice Clouds. J. Geophys. Res.,115. doi:10.1029/2009JD013124.
  • Voigt, C., Schumann, U., Jurkat, T., Schäuble, D., Schlager, H., Petzold, A., Gayet, J.-F., Krämer, M., Schneider, J., Borrmann, S., Schmale, J., Jessberger, P., Hamburger, T., Lichtenstern, M., Scheibe, M., Gourbeyre, C., Meyer, J., Kübbeler, M., Frey, W., Kalesse, H., Butler, T., Lawrence, M., Holzäpfel, F., Arnold, F., Wendisch, M., Döpelheuer, A., Gottschaldt, K., Baumann, R., Zöger, M., Sölch, I., Rautenhaus, M., Dörnbrack, A., 2010. In-situ observations of young contrails - overview and selected results from the CONCERT campaign. Atmos. Chem. Phys., 10, 9039-9056,  doi:10.5194/acp-10-9039-2010.

  • Eichler, H., Ehrlich, A., Wendisch, M., Mioche, G., Gayet, J.-F., Wirth, M., Emde, C., Minikin, A., 2009. Influence of ice crystal shape on retrieval of cirrus optical thickness and effective radius: A case study. J. Geophys. Res., 114, D19203
    doi:10.1029/2009JD012215
  • Frey, W., Eichler, H., de Reus, M., Maser, R., Wendisch, M., Borrmann, S., 2009. A new airborne tandem platform for collocated measurements of microphysical cloud and radiation properties. Atmos. Meas. Tech. 2, 147-158, 2009, doi:10.5194/amt-2-147-2009.

  • Cheng, Y.F., Eichler, H., Wiedensohler, A., Heintzenberg, J., Zhang, Y.H., Hu, M., Herrmann, H., Zeng, L.M., Liu, S., Gnauk, T., Brüggemann, E., He, L.Y., 2006. The mixing state of black carbon and non-light-absorbing aerosol components derived from in situ particle optical properties at Xinken in Pearl River Delta of China. J. Geophys. Res. 111, D20204, doi:10.1029/2020GL088051.
  • Müller, D., Tesche, M., Eichler, H., Engelmann, R., Althausen, D., Ansmann, A., Cheng, Y.F., Zhang, Y.H., Hu, M., 2006. Strong particle light absorption over the Pearl River Delta (south China) and Beijing (north China) determined from combined Raman lidar and Sun photometer observations. Geophys. Res. Lett., 33, L20811, doi:10.1029/2006GL027196.
  • Pahlow, M., D. Müller, M. Tesche, H. Eichler, G. Feingold, W. L. Eberhard, and Y. F. Cheng (2006), Retrieval of aerosol properties from combined multiwavelength lidar and sunphotometer measurements, Appl. Optics, 45, 7429–7442, doi.org/10.1364/AO.45.007429.

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