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user:heikekalesse [2022/06/10 10:03] Heike Kalesse-Losuser:heikekalesse [2023/01/24 13:33] – [Publications] Heike Kalesse-Los
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 =====Research interests===== =====Research interests=====
 +  * Synergystic profiling with remote sensing instruments for atmospheric research 
 +  * Microphysics, dynamics, and radiative impact of clouds
   * Remote sensing of the Arctic climate system   * Remote sensing of the Arctic climate system
   * Cloud radar Doppler spectra analysis    * Cloud radar Doppler spectra analysis 
   * Atmospheric retrieval algorithm development    * Atmospheric retrieval algorithm development 
-  * Synergystic profiling with remote sensing instruments for atmospheric research  + 
-  * Microphysics, dynamics, and radiative impact of clouds +
 =====Projects===== =====Projects=====
-  * [[https://home.uni-leipzig.de/remsensarctic/index.php?lang=en&content=esf |  ESF]]+  * [[https://www.physgeo.uni-leipzig.de/institut-fuer-meteorologie/forschung/arbeitsgruppefernerkundungundarktischesklimasystem/forschung/forschungsprojekte#collapse712970 |  ESF]]
   * [[https://dacapo.tropos.de/index.php  | DACAPO-PESO]]   * [[https://dacapo.tropos.de/index.php  | DACAPO-PESO]]
-  * [[https://www2.meteo.uni-bonn.de/spp2115/doku.php| SPP-PROM]]+  * [[https://www.physgeo.uni-leipzig.de/institut-fuer-meteorologie/forschung/arbeitsgruppefernerkundungundarktischesklimasystem/forschung/forschungsprojekte#collapse292048| SPP-PROM]]
   * [[ http://eurec4a.eu/ | eurec4a]]   * [[ http://eurec4a.eu/ | eurec4a]]
   * [[http://www.ac3-tr.de/projects/cluster-b/b07/ | AC3]]   * [[http://www.ac3-tr.de/projects/cluster-b/b07/ | AC3]]
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 Please note that some articles were published under the maiden name Heike Eichler. \\ Please note that some articles were published under the maiden name Heike Eichler. \\
 orcID: [[ https://orcid.org/0000-0001-6699-7040]] \\ orcID: [[ https://orcid.org/0000-0001-6699-7040]] \\
 +**2023**
 +  *  Linke, O. and Quaas, J. and Baumer, F. and Becker, S. and Chylik, J. and Dahlke, S. and Ehrlich, A. and Handorf, D. and Jacobi, C. and **Kalesse-Los, H.** and Lelli, L. and Mehrdad, S. and Neggers, R. A. J. and Riebold, J. and Saavedra Garfias, P. and Schnierstein, N. and Shupe, M. D. and Smith, C. and Spreen, G. and Verneuil, B. and Vinjamuri, K. S. and Vountas, M. and Wendisch, M.: Constraints on simulated past Arctic amplification and lapse-rate feedback from observations, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2022-836, in review, 2023. 
 +
  
 **2022** **2022**
 +  *  **Kalesse-Los, H.** and Kötsche, A. and Röttenbacher, J. and Vogl, T. and Witthuhn, J.: "The Virga-Sniffer – a new tool to identify precipitation evaporation using ground-based remote-sensing observations", Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2022-252, in review, 2022. 
 +  *  Mahecha, M.D. and Bastos, A. and Bohn, F.J. and Eisenhauer, N. and Feilhauer, H. and Hartmann, H. and Hickler, T. and **Kalesse-Los, H.** and Migliavacca, M. and Otto, F.E.L. and Peng, J. and  Quaas, J. and Tegen, I. and Weigelt, A. and Wendisch, M. and Wirth, C.: Biodiversity loss and climate extremes — study the feedbacks, Nature Comments, doi: https://doi.org/10.1038/d41586-022-04152-y, 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.   * 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.   * 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.
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   * 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.   * 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.    * 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** **2019**