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arcticclouds [2021/09/27 09:24] – [Model codes] modified link chylikarcticclouds [2023/07/12 17:53] – [Mixed-phase clouds in transforming air masses] updating paper chylik
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   * Local and remote controls on Arctic mixed layer evolution [[https://doi.org/10.1029/2019MS001671|Neggers et al, (2019)]]   * Local and remote controls on Arctic mixed layer evolution [[https://doi.org/10.1029/2019MS001671|Neggers et al, (2019)]]
   * Investigating Arctic humidity inversions using balloon-borne measurements and large-eddy simulations [[https://doi.org/10.5194/acp-2020-584|Egerer et al. (2021)]]   * Investigating Arctic humidity inversions using balloon-borne measurements and large-eddy simulations [[https://doi.org/10.5194/acp-2020-584|Egerer et al. (2021)]]
-  * Aerosol-cloud-turbulence interactions in well-coupled Arctic boundary layers over open water. Chylik et al., in preparation for ACPD, September 2021+  * Aerosol-cloud-turbulence interactions in well-coupled Arctic boundary layers over open water. [[https://doi.org/10.5194/acp-23-4903-2023|Chylik et al. (2023)]]
  
  
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 Various field campaigns have taken place near the Svalbard archipelago in the context of the ongoing (AC)<sup>3</sup> research project. Various instrument platforms were involved, including fixed sites (AWIPEV site at Ny Aalesund), ship cruises with the PolarStern research vessel, and flights with the Polar 5 and 6 research aircraft. A key part of the overall research strategy was to combine the benefits of all three platforms. For example, on many research flights the aircraft met with the PolarStern on its journey North towards the ice edge, and during the period in which it was frozen into the solid pack-ice. During some periods all three platforms were situated at the same location at Ny Aalesund, combining all instrumentation. In the modeling of Arctic clouds at InScAPE we focus on these IOP periods, to optimize the availability of relevant data to support the simulations. Various field campaigns have taken place near the Svalbard archipelago in the context of the ongoing (AC)<sup>3</sup> research project. Various instrument platforms were involved, including fixed sites (AWIPEV site at Ny Aalesund), ship cruises with the PolarStern research vessel, and flights with the Polar 5 and 6 research aircraft. A key part of the overall research strategy was to combine the benefits of all three platforms. For example, on many research flights the aircraft met with the PolarStern on its journey North towards the ice edge, and during the period in which it was frozen into the solid pack-ice. During some periods all three platforms were situated at the same location at Ny Aalesund, combining all instrumentation. In the modeling of Arctic clouds at InScAPE we focus on these IOP periods, to optimize the availability of relevant data to support the simulations.
  
-More information about the (AC)<sup>3</sup> project and its field campaigns in the Arctic can be found [[http://www.ac3-tr.de/overview/observations/|here]]+More information about the (AC)<sup>3</sup> project and its field campaigns in the Arctic can be found on the [[http://www.ac3-tr.de/overview/observations/|project website]]
  
 Related datasets and papers: Related datasets and papers:
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   * LES results to accompany measurements at the POLARSTERN Research Vessel during the PASCAL field campaign on 7 June 2017 [[https://doi.pangaea.de/10.1594/PANGAEA.919946|Neggers (2020b)]]   * LES results to accompany measurements at the POLARSTERN Research Vessel during the PASCAL field campaign on 7 June 2017 [[https://doi.pangaea.de/10.1594/PANGAEA.919946|Neggers (2020b)]]
   * Glimpsing the ins and outs of the Arctic atmospheric cauldron [[https://doi.org/10.1029/2021EO155959|Wendisch et al. (2020)]]   * Glimpsing the ins and outs of the Arctic atmospheric cauldron [[https://doi.org/10.1029/2021EO155959|Wendisch et al. (2020)]]
 +  *  Case study of a humidity layer above Arctic stratocumulus using balloon-borne turbulence and radiation measurements and large eddy simulations [[https://doi.org/10.5194/acp-2020-584| Egerer et al. (2021)]]
 +  * The COMBLE campaign: a study of marine boundary-layer clouds in Arctic cold-air outbreaks [[https://doi.org/10.1175/BAMS-D-21-0044.1|Geerts et al. (2022)]]
 ===== Large Eddy Simulations ===== ===== Large Eddy Simulations =====
  
 ==== Model codes ==== ==== Model codes ====
  
-At InScAPE the fine-scale simulations of Arctic clouds are performed with two models. The Dutch Atmospheric Large Eddy Simulation model (DALES)+At InScAPE the fine-scale simulations of Arctic clouds are performed with two models. The Dutch Atmospheric Large Eddy Simulation model ([[https://github.com/dalesteam/dales|DALES]])
 (( Heus, T., Heerwaarden, C. C. v.,  and coauthors (2010). //Formulation of the Dutch Atmospheric Large-Eddy (( Heus, T., Heerwaarden, C. C. v.,  and coauthors (2010). //Formulation of the Dutch Atmospheric Large-Eddy
-Simulation (DALES) and overview of its applications.// Geoscientific model development, **3** (2), pp. 415-444. )) is an LES code that has been developed decades ago, and has participated in many scientific model intercomparison and evaluation studies. The Icosahedral Non-hydrostatic (ICON) model was recently developed at both MPI Hamburg and the German Weather Service (DWD), and can be applied at multiple resolutions. While both codes share many features, in particular their capability to perform realistic high-resolution simulations of boundary layer clouds, there are also a few key differences. Apart from numerical differences these mainly concern the spatial homogeneity of surface properties such as orography, and the capability to perform simulations in a nested setting. At InScAPE we aim to use both codes in conjunction, profiting from the benefits of both approaches.+Simulation (DALES) and overview of its applications.// Geoscientific model development, **3** (2), pp. 415-444. )) is an LES code that has been developed decades ago, and has participated in many scientific model intercomparison and evaluation studies. The Icosahedral Non-hydrostatic ([[https://code.mpimet.mpg.de/projects/iconpublic|ICON]]) model was recently developed at both MPI Hamburg and the German Weather Service (DWD), and can be applied at multiple resolutions. While both codes share many features, in particular their capability to perform realistic high-resolution simulations of boundary layer clouds, there are also a few key differences. Apart from numerical differences these mainly concern the spatial homogeneity of surface properties such as orography, and the capability to perform simulations in a nested setting. At InScAPE we aim to use both codes in conjunction, profiting from the benefits of both approaches.
  
 The DALES and ICON models are described in more detail in the [[models|overview of models]]. The DALES and ICON models are described in more detail in the [[models|overview of models]].
arcticclouds.txt · Last modified: 2024/01/26 19:20 by chylik