zu „Arbeitsgruppe Fernerkundung und Arktisches Klimasystem”

Publikationen

Auf dieser Seite finden sind die Publikationen unserer Arbeitsgruppe jahresweise aufgelistet.

zur Vergrößerungsansicht des Bildes: Blaue und weiße Broschüren stehen im Regal. Foto Katrin Schandert
Publications. Foto: Katrin Schandert/Universität Leipzig

Veröffentlichte Publikationen

Hinweis: Einige Publikationen Heike Kalesse-Los' erscheinen unter ihrem Geburtstamen Heike Eichler.

  • 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, submitted in April 2024, doi:10.5194/egusphere-2024-837. 
  • Foth, A.; Lochmann, M.; Garfias, P. S.; Kalesse-Los, H.: Determination of low-level temperature profiles from microwave radiometer observations during rain, submitted on April 2024, doi:/10.5194/egusphere-2024-919.
  • 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, submitted on April 19, 2023, in revision, doi:10.5194/essd-2023-140.
  • 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. Journal of Geophysical Research, submitted on April 18, 2023, in revision, doi:10.22541/essoar.168182347.76241143/v1.
  • Kwakye, S., Kalesse-Los, H., Maahn, M., Seifert, P., van Klink, R. Wirth, C., Quaas, J.: Classification of flying insects in polarimetric weather radar using machine learning and aphid trap data. Atmospheric Measurement Techniques Discussion, submitted on April 11, 2023, doi:10.5194/amt-2023-69.

  • 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.

  • 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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