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upcoming_conf [2022/05/25 12:23] – [EGU 2022] rosaupcoming_conf [2022/06/29 17:59] – [ECMWF Machine Learning Workshop] susanne
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 16 - 19 May 2022 16 - 19 May 2022
 abstract deadline: 14.02.22 abstract deadline: 14.02.22
-  * **Schnitt, S.**, **D. Chatterjee**, **P. Bigalke**, **S. Crewell**: Shallow convective organization in the Trades as seen by self-learning artificial intelligence {{ :publications:abstract:abstract_schnitt_organization.pdf |abstract}} 
      
   * **D. Chatterjee**, H. Deneke, **S. Crewell**: Understanding cloud systems structure and organization using a machine’s self-learning capability {{ :chatterjee_corg_met_2022_abstract.odt | abstract}}   * **D. Chatterjee**, H. Deneke, **S. Crewell**: Understanding cloud systems structure and organization using a machine’s self-learning capability {{ :chatterjee_corg_met_2022_abstract.odt | abstract}}
  
-==== ECMWF Machine Learning Workshop ==== 
-[[https://events.ecmwf.int/event/294/abstracts/]] 
-Virtual | 29 March 2022 to 1 April 2022 
- 
-  *  **D. Chatterjee**, H. Deneke, **S. Crewell**: Utilizing the self-learning capability of a deep neural network and continuous monitoring of geostationary satellite to understand clouds structure and organization {{:chatterjee_ecmwf_ml2022.pdf | abstract}} 
  
  
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  * **A. Burgos-Cuevas**, **T. Marke**, **B. Pospichal**, ** U. Löhnert **: Characterization of turbulence and thermodynamic stability in the atmospheric boundary-layer for air quality network applications {{: actris_conference_final_abstract.pdf | abstract}}  * **A. Burgos-Cuevas**, **T. Marke**, **B. Pospichal**, ** U. Löhnert **: Characterization of turbulence and thermodynamic stability in the atmospheric boundary-layer for air quality network applications {{: actris_conference_final_abstract.pdf | abstract}}
- 
-==== ESA Living Planet Symposium ==== 
-[[https://lps22.esa.int/frontend/index.php|Website]]\\ 
-23 - 27 May 2022, Bonn (Germany)\\ 
-  * **Mech, M.**, Maahn, M., **Kneifel, S., Ori, D., Schemann, V., and Crewell, S.**: Passive and Active Microwave Transfer (PAMTRA): a tool to simulate observations from space, air, and ground {{ :publications:abstract:2022_abstract_esa_living_planet_mech_et_al_pamtra.pdf |abstract}} 
-  * **Mech, M., Schemann, V., and Crewell, S.**: Arctic mixed-phase clouds as observed during (AC)3 airborne campaigns and their representation in the ICON-LEM model {{ :publications:abstract:2022_abstract_esa_living_planet_mech_et_al_arctic_mpc.pdf |abstract}} 
  
  
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   * Kiszler, T., G. Chellini, **K. Ebell**, S. Kneifel, **V. Schemann**: A performance baseline for the representation of clouds and humidity for cloud-resolving ICON-LEM simulations, EGU 2022, 3 – 8 April 2022, Vienna, Austria {{ :publications:abstract:kiszler_et_al_egu22_abstract_v2.pdf |abstract}}   * Kiszler, T., G. Chellini, **K. Ebell**, S. Kneifel, **V. Schemann**: A performance baseline for the representation of clouds and humidity for cloud-resolving ICON-LEM simulations, EGU 2022, 3 – 8 April 2022, Vienna, Austria {{ :publications:abstract:kiszler_et_al_egu22_abstract_v2.pdf |abstract}}
-  * __**Nomokonova T.**__, P. Griewank, **U. Löhnert**, T. Necker,  M. Weissmann: Benefits of Doppler wind lidars to improve short-term low-level wind forecasts, EGU 2022, 3 – 8 April 2022, Vienna, Austria, {{ :nomokonovaegu2022.pdf | abstract}}+
   * __**A. Burgos Cuevas**__, A. Magaldi Hermosillo, D. Adams, M. Grutter de la Mora,  J. L. Garcia Franco, A. Ruiz Angulo: Comparison between Atmospheric Boundary Layer Height remote sensing-retrievals over a complex topography, EGU 2022, 3 – 8 April 2022, Vienna, Austria, {{ :Burgos_EGU22-4735.pdf | abstract}}   * __**A. Burgos Cuevas**__, A. Magaldi Hermosillo, D. Adams, M. Grutter de la Mora,  J. L. Garcia Franco, A. Ruiz Angulo: Comparison between Atmospheric Boundary Layer Height remote sensing-retrievals over a complex topography, EGU 2022, 3 – 8 April 2022, Vienna, Austria, {{ :Burgos_EGU22-4735.pdf | abstract}}
   *  **D. Chatterjee**, H. Deneke, **S. Crewell**: Can satellite images provide supervision for cloud systems characterization? {{ :chatterjee-egu22-print.pdf | abstract}}   *  **D. Chatterjee**, H. Deneke, **S. Crewell**: Can satellite images provide supervision for cloud systems characterization? {{ :chatterjee-egu22-print.pdf | abstract}}
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 6 - 10 June 2022, Fort Collins, CO, USA. \\ 6 - 10 June 2022, Fort Collins, CO, USA. \\
 Abstract deadline: 15 February, 2021. \\ Abstract deadline: 15 February, 2021. \\
- 
-  * **Nomokonova T.**, __P. Griewank__, **U. Löhnert**, T. Miyoshi, T. Necker,  M. Weissmann: Observing and data assimilation strategies to improve short-term low-level wind forecast for sustainable energy applications, ISDA 2022, 6 – 10 June 2022, Fort Collins, CO, USA, {{ :nomokonova_et_al_isda2022.pdf | abstract}} 
  
  
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   * R. Gierens, S. Kneifel, M. Shupe, K. Ebell, U. Löhnert: Investigating micro-physical processes in Arctic mixed-phase clouds using cloud radar Doppler spectrum skewness. {{ ::erad2022_abstract_rgierens20220322.pdf | abstract}}   * R. Gierens, S. Kneifel, M. Shupe, K. Ebell, U. Löhnert: Investigating micro-physical processes in Arctic mixed-phase clouds using cloud radar Doppler spectrum skewness. {{ ::erad2022_abstract_rgierens20220322.pdf | abstract}}
   * G. Chellini, R. Gierens, T. Kiszler, V. Schemann, S. Kneifel: Aggregation in Arctic shallow mixed-phase clouds is enhanced by dendritic growth and absent close to the melting level: evidence from long-term remote sensing observations in Ny-Ålesund. {{ ::erad2022_abstract_chellini.pdf | abstract}}   * G. Chellini, R. Gierens, T. Kiszler, V. Schemann, S. Kneifel: Aggregation in Arctic shallow mixed-phase clouds is enhanced by dendritic growth and absent close to the melting level: evidence from long-term remote sensing observations in Ny-Ålesund. {{ ::erad2022_abstract_chellini.pdf | abstract}}
 +  * **S. Schnitt, Mech, M.**, Rose, T., **Schemann, V.** and **Crewell, S.**: GRAWAC: G-band Radar for Water vapor profiling and Arctic clouds {{:publications:abstract:abstract_schnitt_erad22.pdf | abstract}}
 +
  
  
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   * __**Böck T.**__, **B. Pospichal**, **U. Löhnert**: Characterizing the influence of obstacles on scanning microwave profilers, EMS2022, September 4 - 9, 2022, Bonn, Germany {{ :exob:publications:ems2022_abstract_tb_20220501.pdf | abstract}}\\   * __**Böck T.**__, **B. Pospichal**, **U. Löhnert**: Characterizing the influence of obstacles on scanning microwave profilers, EMS2022, September 4 - 9, 2022, Bonn, Germany {{ :exob:publications:ems2022_abstract_tb_20220501.pdf | abstract}}\\
   * __**Toporov M.**__, **U. Löhnert**, **V. Schemann**, A. Schomburg, J. Vural: Assimilation of ground-based microwave radiometer observations into convection resolving ICON model using an observing system simulation experiment,  Annual Meeting of the European Meteorological Society, EMS2022, September 4 - 9, 2022, Bonn, Germany {{ :exob:publications:ems2022-toporov.pdf | abstract}}\\   * __**Toporov M.**__, **U. Löhnert**, **V. Schemann**, A. Schomburg, J. Vural: Assimilation of ground-based microwave radiometer observations into convection resolving ICON model using an observing system simulation experiment,  Annual Meeting of the European Meteorological Society, EMS2022, September 4 - 9, 2022, Bonn, Germany {{ :exob:publications:ems2022-toporov.pdf | abstract}}\\
 +  * __**Steinheuer J.**__, **U. Löhnert**: High-resolution observation of extreme winds at the Sub-Mesoscale with Doppler wind lidars during FESSTVaL,  Annual Meeting of the European Meteorological Society, EMS2022, September 4 - 9, 2022, Bonn, Germany {{ :exob:publications:Steinheuer_EMS2022-214-print.pdf | abstract}}\\
 ==== EUMETSAT Meteorological Satellite Conference 2022 ==== ==== EUMETSAT Meteorological Satellite Conference 2022 ====
 [[https://www.eumetsat.int/eumetsat-meteorological-satellite-conference-2022|Website]]\\ [[https://www.eumetsat.int/eumetsat-meteorological-satellite-conference-2022|Website]]\\
upcoming_conf.txt · Last modified: 2024/04/30 11:26 by mech