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user:heikekalesse [2023/01/24 13:09] Heike Kalesse-Losuser:heikekalesse [2023/01/25 07:56] (current) – [Publications] Heike Kalesse-Los
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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. 
 +  *  Wendisch, M. and M. Brückner and S. Crewell and A. Ehrlich and J. Notholt and C. Lüpkes and A. Macke and J. P. Burrows and A. Rinke and J. Quaas and M. Maturilli and V. Schemann and M. D. Shupe and E. F. Akansu and C. Barrientos-Velasco and K. Bärfuss and A.-M. Blechschmidt and K. Block and I. Bougoudis and H. Bozem and C. Böckmann and A. Bracher and H. Bresson and L. Bretschneider and M. Buschmann and D. G. Chechin and J. Chylik and S. Dahlke and H. Deneke and K. Dethloff and T. Donth and W. Dorn and R. Dupuy and K. Ebell and U. Egerer and R. Engelmann and O. Eppers and R. Gerdes and R. Gierens and I. V. Gorodetskaya and M. Gottschalk and H. Griesche and V. M. Gryanik and D. Handorf and B. Harm-Altstädter and J. Hartmann and M. Hartmann and B. Heinold and A. Herber and H. Herrmann and G. Heygster and I. Höschel and Z. Hofmann and J. Hölemann and A. Hünerbein and S. Jafariserajehlou and E. Jäkel and C. Jacobi and M. Janout and F. Jansen and O. Jourdan and Z. Jurányi and **Kalesse-Los, H.** and T. Kanzow and R. Käthner and L. L. Kliesch and M. Klingebiel and E. M. Knudsen and T. Kovács and W. Körtke and D. Krampe and J. Kretzschmar and D. Kreyling and B. Kulla and D. Kunkel and A. Lampert and M. Lauer and L. Lelli and A. von Lerber and O. Linke and U. Löhnert and M. Lonardi and S. N. Losa and M. Losch and M. Maahn and M. Mech and L. Mei and S. Mertes and E. Metzner and D. Mewes and J. Michaelis and G. Mioche and M. Moser and K. Nakoudi and R. Neggers and R. Neuber and T. Nomokonova and J. Oelker and I. Papakonstantinou-Presvelou and F. Pätzold and V. Pefanis and C. Pohl and M. van Pinxteren and A. Radovan and M. Rhein and M. Rex and A. Richter and N. Risse and C. Ritter and P. Rostosky and V. V. Rozanov and E. Ruiz Donoso and P. Saavedra Garfias and M. Salzmann and J. Schacht and M. Schäfer and J. Schneider and N. Schnierstein and P. Seifert and S. Seo and H. Siebert and M. A. Soppa and G. Spreen and I. S. Stachlewska and J. Stapf and F. Stratmann and I. Tegen and C. Viceto and C. Voigt and M. Vountas and A. Walbröl and M. Walter and B. Wehner and H. Wex and S. Willmes and M. Zanatta and and S. Zeppenfeld: "Atmospheric and Surface Processes, and Feedback Mechanisms Determining Arctic Amplification: A Review of First Results and Prospects of the (AC)3 Project", Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-21-0218.1, 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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