user:heikekalesse

Heike Kalesse-Los

Contact

Phone: +49 341/97-36650
heike [dot] kalesse [at] uni [dash] leipzig [dot] de
Institut für Meteorologie
Prager Straße 34, Room 506
04103 Leipzig

  • Synergystic profiling with remote sensing instruments for atmospheric research
  • Microphysics, dynamics, and radiative impact of clouds
  • Remote sensing of the Arctic climate system
  • Cloud radar Doppler spectra analysis
  • Atmospheric retrieval algorithm development

Professional career

  • since 04/2018: Leipzig Institut for Meteorology (LIM), Leipzig University, Germany: W1 Professorship with tenure track
  • 03/2015 - 01/2018: Leibniz Institute for Tropospheric Research (Leipzig, Germany): Scientist
  • 09/2011 - 10/2014: McGill University (Montreal, Canada): Postdoctoral Research Associate
  • 05/2006 - 06/2010: J. Gutenberg University (Mainz, Germany): Doctoral Research Scientist
  • 02/2003 - 04/2006: Leibniz Institute for Tropospheric Research (Leipzig, Germany): Student Research Assistant

Education

  • 05/2006 - 06/2010: Johannes Gutenberg University, Mainz: PhD in Meteorology
  • 10/2000 - 03/2006: University of Leipzig: Diplom in Meteorology (equivalent to Master's degree); Graduated with honours

Bachelor level

Master level

Please note that some articles were published under the maiden name Heike Eichler.
orcID: https://orcid.org/0000-0001-6699-7040

2022

  • Schimmel, W. and Kalesse-Los, H. and Maahn, M. and Vogl, T. and Foth, A. and Saavedra Garfias, P. A. and Seifert, P.: Identifying cloud droplets beyond lidar attenuation from vertically-pointing cloud radar observations using artificial neural networks, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-149, 2022.
  • Vogl, T. and Maahn, M. and Kneifel, S. and Schimmel, W. and Moisseev, D., and, Kalesse-Los, H.: Using artificial neural networks to predict riming from Doppler cloud radar observations, Atmos. Meas. Tech., https://doi.org/10.5194/amt-15-365-2022, 2022.
  • Kalesse-Los, H. and Schimmel, W. and Luke, E. and Seifert, P.: Evaluating cloud liquid detection using cloud radar Doppler spectra in a pre-trained artificial neural network against Cloudnet liquid detection, Atmos. Meas. Tech., https://doi.org/10.5194/amt-15-279-2022, 2022.

2021

  • Trömel, S. and Simmer, C. and Blahak, U. and Blanke, A. and Doktorowski, S. and Ewald, F. and Frech, M. and Gergely, M. and Hagen, M. and Janjic, T. and Kalesse-Los, H. and Kneifel, S. and Knote, C. and Mendrok, J. and Moser, M. and Köcher, G. and Mühlbauer, K. and Myagkov, A. and Pejcic, V. and Seifert, P. and Shrestha, P. and Teisseire, A. and von Terzi, L. and Tetoni, E. and Vogl, T. and Voigt, C. and Zeng, Y. and Zinner, T. and Quaas, J.: Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes, Atmos. Chem. Phys., https://doi.org/10.5194/acp-21-17291-2021, 2021.
  • Stevens, B. and Bony, S. and Farrell, D. and Ament, F. and Blyth, A. and Fairall, C. and Karstensen, J. and Quinn, P.K. and Speich, S. and Acquistapace, C. and Aemisegger, F. and Albright, A. L. and Bellenger, H. and Bodenschatz, E. and Caesar, K.-A. and Chewitt-Lucas, R. and de Boer, G. and Delanoe, J. and Denby, L. and Ewald, F. and Fildier, B. and Forde, M. and George, G. and Gross, S. and Hagen, M. and Hausold, A. and Heywood, K. and Hirsch, L. and Jacob, M. and Jansen, F. and Kinne, S. and Klocke, D. and Kölling, T. and Konow, H. and Lothon, M. and Mohr, W. and Naumann, A. K. and Nuijens, L. and Olivier, L. and Pincus, R. and Pöhlker, M. and Reverdin, G. and Roberts, G. and Schnitt, S. and Schulz, H. and Siebesma, P. and Stephan, C. C. and Sullivan, P. and Touzé-Peiffer, L. and Vial, J. and Vogel, R. and Zuidema, P. and Alexander, N. and Alves, L. and Arixi, S. and Asmath, H. and Bagheri, G. and Baier, K. and Bailey, A. and Baranowski, D. and Baron, A. and Barrau, S. and Barrett, P. and Batier, F. and Behrendt, A. and Bendinger, A. and Beucher, F. and Bigorre, S. and Blades, E. and Blossey, P. and Bock, O. and Böing, S. and Bosser, P. and Bourras, D. and Bouruet-Aubertot, P. and Bower, K. and Branellec, P. and Branger, H. and Brennek, M. and Brewer, A. and Brilouet, P.-E. and Brügmann, B. and Buehler, S. and Burke, E. and Burton, R. and Calmer, R. and Canonici, J.-C. and Carton, X. and Cato Jr., G. and Charles, J. A. and Chazette, P. and Chen, Y. and Chilinski, M. and Choularton, T. and Chuang, P. and Clarke, S. and Coe, H. and Cornet, C. and Coutris, P. and Couvreux, F. and Crewell, S. and Cronin, T.W. and Cui, Z. and Cuypers, Y. and Daley, A. and Damerelle, G. and Dauhut, T. and Deneke, H. and Desbois, J.-P. Dörner, S. and Donner, S: and Douet, V. and Drushka, K. and Dütsch, M. and Ehrlich, A. and Emanuel, K. and Emmanouilidis, A. and Etienne, J.-C. and Etienne-Leblanc, S. and Faure, G. and Feingold, G. and Ferrero, L. and Fix, A. and Flamant, C. and Flatau, P. J. and Foltz, G. and Forster, L. and Furtuna, I. and Gadian, A. and Galewsky, J. and Gallagher, M. W. and Gallimore, P. and Gaston, C. and Gentemann, C. and Geyskens, N. and Giez, A. and Gollop, J. and Gouirand, I. and Gourbeyre, C. and de Graaf, D. and de Groot, G. and Grosz, R. and Güttler, J. and Gutleben, E. and Hall, K. and Harris, G. and Helfer, K. C. and Henze, D. and Herbert, C. and Holanda, B. A. Ibanez-Landeta, A. and Intrieri, J. and Iyer, S. and Julien, F. and Kalesse-Los, H. and Kazil, J. and Kellman, A. and Kidane, A. and Kirchner, U. and Klingebiel, M. and Körner, M. and Kremper, L. A. and Kretzschmar, J. and Krüger, O. O. and Kumala, W.and Kurz, A. and L'Hégaret, P. and Labaste, M. and Lachlan-Cope, T. and Laing, A. and Landschützer, P. and Lang, T. and Lange, D. and Lange, I. and Laplace, C. and Lavik, G. and Laxenaire, R: and Le Bihan, C: and Leandro, M. and Lefevre, N. and Lena, M. and Lenschow, D. and Li, Q. and Lloyd, G. and Los, S. A. and Losi, N. and Lovell, O. and Luneau, C. and Makuch, P. and Malinowski, S. and Manta, G. and Marinou, E. and Marsden, N. and Masson, S. and Maury, N. and Mayer, B. and Mayers-Als, M. and Mazel, C. and McGeary, W. and McWilliams, J. and Mech, M. and Mehlmann, M. and Meroni, A. N. and Mieslinger, T. and Minikin, A. and Minnett, P. and Möller, G. and Morfa-Avalos, Y. and Muller, C. and Musat, I. and Napoli, A. and Neuberger, A. and Noisel, C. and Noone, D. and Nordsiek, F. and Nowak, J. L. and Oswald, L. and Parker, D. and Peck, C. and Person, R. and Philippi, M. and Plueddemann, A. and Pöhlker, C. and Poertge, V. and Pöschl, U. and Pologne, L. and Posyniak, M. and Prange, M. and Quiñones Meléndez, E. and Radtke, J. and Ramage, K. and Reimann, J. and Renault, L. and Reus, K. and Reyes, A. and Ribbe, J. and Ringel, M. and Ritschel, M. and Rocha, C. B. and Rochetin, N. and Röttenbacher, J. and Rollo, C. and Royer, H. and Sadoulet, P. and Saffin, L. and Sandiford, S. and Sandu, I. and Schäfer, M. and Schemann, V. and Schirmacher, I. and Schlenczek, O. and Schmidt, J. and Schröder, M. and Schwarzenboeck, A. and Sealy, A. and Senff, C. and Serikov, I. and Samkeyat Shohan, S. M. and Siddle, E. and Smirnov, A. and Spaeth, F. and Spooner, B. and Stolla, M. K. and Szkółka, W. and de Szoeke, S. P. and Tarot, S. and Tetoni, E. and Thompson, E. and Thomson, J. and Tomassini, L. and Totems, J. and Ubele, A. A. and Villiger, L. and von Arx, J. and Wagner, T. and Walther, A. and Webber, B. and Wendisch, M. and Whitehall, S. and Wiltshire, A. and Wing, A. A. and Wirth, M. and Wiskandt, J. and Wolf, K. and Worbes, L. and Wright, E. and Wulfmeyer, V. and Young, S. and Zhang, C. and Zhang, D. and Ziemen, F. and Zinner, T. and Zöger, M.: EUREC(4)A, Earth Syst. Sci. Data, https://doi.org/10.5194/essd-13-4067-2021, 2021.

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. Chem. Phys., https://doi.org/10.5194/amt-2020-290, 2020.
  • 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., Schmithuesen, 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., https://doi.org/10.1175/BAMS-D-19-0255.1, 2020.

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., https://doi.org/10.5194/amt-12-4591-2019 , 2019.
  • Foth, A., Kanitz, T., Engelmann, R., Baars, H., Radenz, M., Seifert, P., Barja, B., 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., https://doi.org/10.5194/acp-19-6217-2019 , 2019.

2017

  • 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
  • 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.org/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

2016

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2014

2013

2010

2009

2008

2006