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publications:reviewed_a [2022/06/07 14:23] walbroelpublications:reviewed_a [2022/08/01 16:21] – [submitted] rosa
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 ==== submitted ==== ==== submitted ====
  
-KingF., G. Duffy, L. Milani, C. G. Fletcher, C. Pettersen and **K. Ebell**: DeepPrecip: A deep neural network for precipitation retrievals, //Machine Intelligence//, submitted on 3 May 2022+KiszlerT., **K. Ebell**, and V. Schemann: A performance baseline for the representation of clouds and humidity in cloud-resolving ICON-LEM simulations in the Arctic, //Journal of Advances in Modeling Earth Systems//, submitted on 12 July 2022
  
-J. T. Pasquier, J. Henneberger, F. Ramelli, A. Lauber, R. O. David, J. Wieder, T. Carlsen, **R. Gierens**, M. Maturilli, and U. Lohmann: Conditions favorable for secondary ice production in Arctic mixed-phase clouds//Atmos. Chem. Phys. Discuss.// [preprint], https://doi.org/10.5194/acp-2022-314, in review, 2022+Pasquier, J. T., J. Henneberger, A. Korolev, F. Ramelli, J. Wieder, A. Lauber, G. Li, R. O. David, T. Carlsen, **R. Gierens**, M. Maturilli, and U. Lohmann: Understanding the history of complex ice crystal habits deduced from a holographic imagerSubmitted to Geophysical Research Letters on 30 June 2022 , preprint: [[https://doi.org/10.1002/essoar.10511926.1]] 
  
-Chellini, G., **RGierens**, and S. KneifelIce aggregation in Arctic shallow mixed-phase clouds: enhanced by dendritic growth and absent close to the melting levelsubmitted to Journal of Geophysical Research - Atmospheres on 1.4.2022+Bailey, A., Aemisegger, F., Villiger, L., Los, S. A., Reverdin, G., Quiñones Meléndez, E., **Acquistapace, C.**, Baranowski, D. B., **Böck, T.**, Bony, S., Bordsdorff, T., Coffman, D., de Szoeke, S. P., Diekmann, C. J., Dütsch, M., Ertl, B., Galewsky, J., Henze, D., Makuch, P., Noone, D., Quinn, P. K., ​​Rösch, M., Schneider, A., Schneider, M., Speich, S., Stevens, B., and Thompson, E.Isotopic measurements in water vapor, precipitation, and seawater during EUREC4A// Earth SystSciData Discuss. [preprint], [[https://doi.org/10.5194/essd-2022-3]], in review, 2022. //
  
-Rückert, J.E., P. Rostosky, M. Huntemann, D. Clemens-Sewall, **KEbell**, LKaleschke, JLemmetyinenAMacfarlaneRNaderpourJStroeve**AWalbröl**and GSpreenEffect of warm air intrusions on satellite-based sea ice concentration retrievalsA case study of the April 2020 events during the MOSAiC expedition, //Elementa: Science of the Anthropocene//, submitted on 15 March 2022+**Acquistapace C.**, Meroni A.N., Labbri G., Lange D., Späth F., Abbas S., bellenger H.:Fast atmospheric response to an SST mesoscale cold patch in the north-western subtropical Atlantic, // submitted to Journal of Geophysical Research - Atmosphere on 2022-03-18 10:29:58in review //
  
-Chellini, G. and **K. Ebell**: Can state-of-the-art infrared satellite sounders and reanalyses detect moisture inversions in the Arctic?, //Atmos. Meas. Tech.//, submitted on 14 Jan 2022+King, F., G. Duffy, L. Milani, C. G. Fletcher, C. Pettersen and **K. Ebell**: DeepPrecip: A deep neural network for precipitation retrievals, //EGUsphere [preprint]//, https://doi.org/10.5194/egusphere-2022-4972022. (for review in //Atmos. Meas. Tech.//, submitted on 16 June 2022)
  
-JiaH., J. QuaasEGryspeerdt, **CBöhm**, OSourdevalAddressing the difficulties in quantifying the Twomey effect for marine warm clouds from multi-sensor satellite observations and reanalysis, //Atmos. Chem. Phys. Discuss.//, [[https://doi.org/10.5194/acp-2021-999]], in review, 2022.+PasquierJ. T., J. HennebergerFRamelli, A. Lauber, R. O. David, J. Wieder, T. Carlsen, **RGierens**, MMaturilli, and U. LohmannConditions favorable for secondary ice production in Arctic mixed-phase clouds, //Atmos. Chem. Phys. Discuss.// [preprint], https://doi.org/10.5194/acp-2022-314, in review, 2022. 
  
-ChylikJ., Chechin, D., Dupuy, R., **Kulla, B. S.**, Lüpkes, C., Mertes, S., **Mech, M.**, and Neggers, R. A. J.Aerosol-cloud-turbulence interactions in well-coupled Arctic boundary layers over open waterAtmosChem. Phys. Discuss. [preprint], [[https://doi.org/10.5194/acp-2021-888]], in review, 2021.+ChelliniG., **RGierens**, and S. KneifelIce aggregation in Arctic shallow mixed-phase clouds: enhanced by dendritic growth and absent close to the melting level//Journal of Geophysical Research - Atmospheres//, accepted. preprint[[https://doi.org/10.1002/essoar.10511005.1]]
  
 +Rückert, J.E., P. Rostosky, M. Huntemann, D. Clemens-Sewall, **K. Ebell**, L. Kaleschke, J. Lemmetyinen, A. Macfarlane, R. Naderpour, J. Stroeve, **A. Walbröl**, and G. Spreen: Effect of warm air intrusions on satellite-based sea ice concentration retrievals: A case study of the April 2020 events during the MOSAiC expedition, //Elementa: Science of the Anthropocene//, submitted on 15 March 2022
  
 +Chellini, G. and **K. Ebell**: Can state-of-the-art infrared satellite sounders and reanalyses detect moisture inversions in the Arctic?, //Atmos. Meas. Tech.//, submitted on 14 Jan 2022
  
-Pasquier et al(incl. **RGierens**, **KEbell**)Nascent campaign overview, //Bulletin of the American Meteorological Society//, resubmitted 18 March 2022+Chylik, J., Chechin, D., Dupuy, R., **Kulla, B. S.**, Lüpkes, C., Mertes, S., **Mech, M.**, and Neggers, R. A. J.Aerosol-cloud-turbulence interactions in well-coupled Arctic boundary layers over open waterAtmos. Chem. Phys. Discuss. [preprint], [[https://doi.org/10.5194/acp-2021-888]]in review, 2021.
  
 Wendisch, M., et al. (incl. **S. Crewell**, **V. Schemann**, **K. Ebell**, **R. Gierens**, **L.-L. Kliesch**, **M. Lauer**, **M. Mech**): 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//, submitted 21 December 2021 Wendisch, M., et al. (incl. **S. Crewell**, **V. Schemann**, **K. Ebell**, **R. Gierens**, **L.-L. Kliesch**, **M. Lauer**, **M. Mech**): 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//, submitted 21 December 2021
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 ==== accepted ==== ==== accepted ====
  
-von Lerber, A., **M. Mech**, A. Rinke, D. Zhang, **M. Lauer**, A. Radovan, I. Gorodetskaya, **S. Crewell**, 2022: Evaluating seasonal and regional distribution of snowfall in regional climate model simulations in the Arctic, //Atmos. Chem. Phys.// [[https://acp.copernicus.org/preprints/acp-2021-1064]]  
  
 **Walbroel, A.**, **S. Crewell**, R. Engelmann, E. Orlandi, H. Griesche, M. Radenz, J. Hofer, D. Althausen, M. Maturilli, and **K. Ebell**: Atmospheric temperature, water vapour and liquid water path from two microwave radiometers during MOSAiC, //Scientific Data//, submitted on 08 March 2022, accepted on 27 May 2022 **Walbroel, A.**, **S. Crewell**, R. Engelmann, E. Orlandi, H. Griesche, M. Radenz, J. Hofer, D. Althausen, M. Maturilli, and **K. Ebell**: Atmospheric temperature, water vapour and liquid water path from two microwave radiometers during MOSAiC, //Scientific Data//, submitted on 08 March 2022, accepted on 27 May 2022
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 ==== 2022 ==== ==== 2022 ====
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 Bresson, H., A. Rinke, **M. Mech**, D. Reinert, **V. Schemann**, **K. Ebell**, M. Maturilli, C. Viceto, I. Gorodetskaya, and **S. Crewell**, 2022: Case study of a moisture intrusion over the Arctic with the ICON model: resolution dependence of its representation, //Atmospheric Chemistry and Physics//, 22, 173–196, [[https://doi.org/10.5194/acp-22-173-2022]] Bresson, H., A. Rinke, **M. Mech**, D. Reinert, **V. Schemann**, **K. Ebell**, M. Maturilli, C. Viceto, I. Gorodetskaya, and **S. Crewell**, 2022: Case study of a moisture intrusion over the Arctic with the ICON model: resolution dependence of its representation, //Atmospheric Chemistry and Physics//, 22, 173–196, [[https://doi.org/10.5194/acp-22-173-2022]]
  
-Geerts, Bart, et al. (incl. **S.Crewell**, **K. Ebell**), 2022: The COMBLE campaign: a study of marine boundary-layer clouds in Arctic cold-air outbreaks, //Bulletin of the American Meteorological Society//, [[https://doi.org/10.1175/BAMS-D-21-0044.1]] published online 3 March 2022. +Geerts, Bart, et al. (incl. **S.Crewell**, **K. Ebell**), 2022: The COMBLE campaign: a study of marine boundary-layer clouds in Arctic cold-air outbreaks, //Bulletin of the American Meteorological Society//, 103, 5, E1371-E1389 [[https://doi.org/10.1175/BAMS-D-21-0044.1]] 
 + 
 +Jia, H., J. Quaas, E. Gryspeerdt, **C. Böhm**, O. Sourdeval, 2022: Addressing the difficulties in quantifying the Twomey effect for marine warm clouds from multi-sensor satellite observations and reanalysis, //AtmosChem. Phys.//, 22, 7353–7372, [[https://doi.org/10.5194/acp-22-7353-2022]] 
  
 Kneifel, S., B. Pospichal, L. von Terzi, T. Zinner, M. Puh, M. Hagen, B. Mayer, U. Löhnert and **S. Crewell**, 2022: Multi-year cloud and precipitation statistics observed with remote sensors at the high-altitude Environmental Research Station Schneefernerhaus in the German Alps, //Meteorologische Zeitschrift//, 31 (1), 69-86, [[https://doi.org/10.1127/metz/2021/1099]] Kneifel, S., B. Pospichal, L. von Terzi, T. Zinner, M. Puh, M. Hagen, B. Mayer, U. Löhnert and **S. Crewell**, 2022: Multi-year cloud and precipitation statistics observed with remote sensors at the high-altitude Environmental Research Station Schneefernerhaus in the German Alps, //Meteorologische Zeitschrift//, 31 (1), 69-86, [[https://doi.org/10.1127/metz/2021/1099]]
 +
 +von Lerber, A., **M. Mech**, A. Rinke, D. Zhang, **M. Lauer**, A. Radovan, I. Gorodetskaya, **S. Crewell**, 2022: Evaluating seasonal and regional distribution of snowfall in regional climate model simulations in the Arctic, //Atmospheric Chemistry Physics//, 22, 7287-7317,  [[https://doi.org/10.5194/acp-22-7287-2022]] 
 +
 +Myagkov, A. and **Ori, D.**, 2022: Analytic characterization of random errors in spectral dual-polarized cloud radar observations, //Atmospheric Measurement Techniques//, 15, 1333–1354, [[https://doi.org/10.5194/amt-15-1333-2022]]
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 +
 +Pasquier, J. T., David, R. O., Freitas, G., **Gierens, R.**, Gramlich, Y., Haslett, S., Li, G., Schäfer, B., Siegel, K., Wieder, J., Adachi, K., Belosi, F., Carlsen, T., Decesari, S., **Ebell, K.**, Gilardoni, S., Gysel-Beer, M., Henneberger, J., Inoue, J., Kanji, Z. A., Koike, M., Kondo, Y., Krejci, R., Lohmann, U., Maturilli, M., Mazzolla, M., Modini, R., Mohr, C., Motos, G., Nenes, A., Nicosia, A., Ohata, S., Paglione, M., Park, S., Pileci, R. E., Ramelli, F., Rinaldi, M., Ritter, C., Sato, K., Storelvmo, T., Tobo, Y., Traversi, R., Viola, A., & Zieger, P., 2022: The Ny-Ålesund Aerosol Cloud Experiment (NASCENT): Overview and First Results, //Bulletin of the American Meteorological Society//, [[https://doi.org/10.1175/BAMS-D-21-0034.1]]
  
 Shupe et al. (incl. **S. Crewell**, **K. Ebell**, **M. Mech**), 2022: Overview of the MOSAiC Expedition—Atmosphere. Elementa: Science of the Anthropocene 10(1). DOI: [[https://doi.org/10.1525/elementa.2021.00060]] Shupe et al. (incl. **S. Crewell**, **K. Ebell**, **M. Mech**), 2022: Overview of the MOSAiC Expedition—Atmosphere. Elementa: Science of the Anthropocene 10(1). DOI: [[https://doi.org/10.1525/elementa.2021.00060]]
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 ==== 2021 ==== ==== 2021 ====
  
-Bock, O., P. Bosser, C. Flamant, E. Doerflinger, F. Janssen, R. Fages, S.Bony and **S.Schnitt**, 2021: IWV observations in the Caribbean Arc from a network of ground-based GNSS receivers during EUREC4A, Earth Syst. Sci. Data, [[https://doi.org/10.5194/essd-13-2407-2021]].+Bock, O., P. Bosser, C. Flamant, E. Doerflinger, F. Janssen, R. Fages, S.Bony and **S.Schnitt**, 2021: IWV observations in the Caribbean Arc from a network of ground-based GNSS receivers during EUREC4A, Earth System Science Data, [[https://doi.org/10.5194/essd-13-2407-2021]].
  
 **Böhm, C.**, J. H. Schween, M. Reyers, B. Maier, U. Löhnert, **S. Crewell**, 2021a: Towards a climatology of fog frequency in the Atacama Desert via multi-spectral satellite data and machine learning techniques, //Journal of Applied Meteorology and Climatology//, [[https://doi.org/10.1175/JAMC-D-20-0208.1]]  **Böhm, C.**, J. H. Schween, M. Reyers, B. Maier, U. Löhnert, **S. Crewell**, 2021a: Towards a climatology of fog frequency in the Atacama Desert via multi-spectral satellite data and machine learning techniques, //Journal of Applied Meteorology and Climatology//, [[https://doi.org/10.1175/JAMC-D-20-0208.1]] 
publications/reviewed_a.txt · Last modified: 2024/03/27 19:57 by ischirma