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

  • 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

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

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.
  • 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-2021-137, 2021.
  • 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. Disc., https://doi.org/10.5194/amt-2021-60, 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.
  • Stevens, B., Bony, S., Farrell, D., Ament, F., Blyth, A. M., W. Fairall, C.W., Karstensen, J., Quinn, P.K.,Sabrina Speich, S., Acquistapace, C., Aemisegger, F., Albright, A.L., Bellenger, H., Bodenschatz, E., Caesar, K.-A., Chewitt-Lucas, R., de Boer, G., Delanoë, J., Denby, L.C., Ewald, F., Fildier, B., Forde, M., George, G., Gross, S., Hagen, M., Hausold, A., Heywood, K.J., Hirsch, L., Jacob, M., Jansen, F., Kinne, S., Klocke, D., Kölling, T., Konow, H., Lothon, M., Mohr, W., Naumann, A.K., Nuijens, L., Olivier, L., Pincus, R., Pöhlker, M.L., Reverdin, G., Roberts, G., Schnitt, S., Schulz, H., Siebesma, P., Stephan, C.C., Sullivan, P.P., Touzé-Peiffer, L., Vial, J., Vogel, R., Zuidema, P., Alexander, N., Alves, L., Arixi, S., Asmath, H., Bagheri, G., Baier, K., Bailey, A., Baranowski, D.B., Baron, A., Barrau, S., Barrett, P.A., Batier, F., Behrendt, A., Bendinger, A., Beucher, F., Bigorre, S., Blades, E., Bock, O., Boeing, S.J., Bosser, P., Bourras, D., Bouruet-Aubertot, P., Bower, K., Branellec, P., Branger, H., Brennek, M., Brewer, A., Brilouet, P-E., Brügmann, B., Buehler, S.A., Burke, E., Burton, R., Calmer, R., Canonici, J-C., Carton, X.J., Cato, G., Charles, J.A., Chazette, P., Chen, Y., Chili´nski, M.T., Choularton, T., Chuang, P.Y., Clarke, S., Coe, H., Cornet, C., Coutris, P., Couvreux, F., Crewell, S., Cronin, T.W., Cui, Z., Cuypers, Y., Daley, A., Damerell, G.M., Dauhut, T., Deneke, H.M., Desbios, J.-P., Dörner, S., Donner, S., Douet V., Drushka, K., Dütsch, M., Ehrlich, A., Emanual, K., Emmanouilidis, A., Etienne, J.-C., Etienne-Leblanc, S., Faure, G., Feingold, G., Ferrero, L., Fix, A., Flamant, C., Flatau. P.J., Foltz, G.R., Forster, L., Furtuna, I., Gadian, A., Galewsky, J., Gallagher, M., Gallimore, P., Gaston, C.J., Gentemann, C., Geyskens, N., Giez, A., Gollop, J., Gouirand, I., Gourbeyre, C., de Graaf, D., de Groot, G.E., Grosz, R., Güttler, J., Gutleben, M., Hall, K., Harris, G., Helfer, K.C., Henze, D., Herbert, C., Holanda, B., Ibanez-Landeta, A., Intrieri, J.M., Iyer, S., Julien, F., Kalesse, H., Kazil, J., Kellman, A., Kidane, A.T., Kirchner, U., Klingebiel, M., Körner, M., Kremper, L.A., Kretzschmar, J., Krüger, O., Kumala, W., Kurz, A., L' Hégaret, P., Labaste, M., Lachlan-Cope, T.A., Laing, A., Landschützer, P., Lang, T., Lange Vega, D., Lange, I., Laplace, C., Lavik, G., Laxenaire, R., Le Bihan, C., Leandro, M., Lefèvre, N., Lena, M., Leschow, D., Li, Q., Lloyd, G., Los, S., Losi, N., Lovell, O., Luneau, C., Makuch, P., Malinowski, S.P., Manta, G., Marinou, E., Marsden, N., Masson, S., Maury, N., Mayer, B., Mayers-Als, M., Mazel, C., McGeary, W., McWilliams, J.C., Mech, M., Mehlmann, M., Meroni, A.N., Mieslinger, T., Minikin, A., Minnett, P., Möller, G., Morfa Avalos, Y., Muller, C., Musat, I., Napoli, A., Neuberger, A., Noisel, C., Noone, D.C., Nordsiek, F., Nowak, J.L., Oswald, L., Parker, D.J., Peck, C., Person, R., Philippi, M., Plueddemann, A.J., Pöhlker, C., Pörtge, V., Pöschl, U., Pologne, L., Posyniak, M., Prange, M., Quiñones Meléndez, E., Radtke, J., Ramage, K., Reimann, J., Renault, L., Reus, K., Reyes, A., Ribbe, J., Ringel, M., Ritschel, M., Barbedo Rocha, C., Rochetin, N., Röttenbacher, J., Rollo, C., Royer, H., Sadoulet, P., Saffin, L., Sandiford, S., Sandu, I., Schäfer, M., Schemann, V., Schirmacher, I., Schlenczek, O., Schmidt, J., Schröder, M., Schwarzenboeck, A., Sealy, A., Senff, C.J., Serikov, I., Shohan, S., Siddle, E., Smirnov, A., Späth, F., Spooner, B., Stolla, M.K., Szkółka, W., de Szoeke, S.P., Tarot, S., Tetoni, E., Thompson, E.J., Thomson, J., Tomassini, L., Totems, J., Ubele, A.A., Villiger, L., von Arx, J., Wagner, T., Walther, A., Webber, B. G. M., Wendisch, M., Whitehall, S., Wiltshire, A., Wing, A.A., Wirth, M., Wiskandt, J., Wolf, K., Worbes, L., Wright, E., Wulfmeyer, V., Young, S., Zhang, C., Zhang, D., Ziemen, F., Zinner, T. and Zöger, M.:EUREC4A, https://doi.org/10.1002%2Fessoar.10504890.1, 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

2015

2014

2013

2010

2009

2008

2006