Modeling case studies of ice production in Arctic mixed-phase clouds
In common weather and climate models rime-splintering is the only included secondary ice production process. In addition, assumed concentrations of cloud condensation nuclei or cloud droplet number as well as of ice-nucleating particle are higher in standard models than for Arctic environments. This...
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ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5021139 2023-07-30T04:01:14+02:00 Modeling case studies of ice production in Arctic mixed-phase clouds Schäfer, B. David, R. Dammann, S. Trude, S. 2023-07-11 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021139 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-4731 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021139 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-4731 2023-07-16T23:40:25Z In common weather and climate models rime-splintering is the only included secondary ice production process. In addition, assumed concentrations of cloud condensation nuclei or cloud droplet number as well as of ice-nucleating particle are higher in standard models than for Arctic environments. This can lead to a misrepresentation of phase distribution in and precipitation from Arctic mixed-phase clouds. During the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) a holographic probe mounted on a tethered balloon took in-situ measurements of ice crystal and cloud droplet number and mass concentrations in Svalbard, Norway, during fall 2019 and spring 2020. In this study, we use the Weather Research and Forecasting (WRF) model to simulate selected case studies from this campaign in a high vertical and spatial resolution. We test the performance of different microphysical parametrizations and apply a new state-of-the-art secondary ice parametrization. We find that the degree of agreement with observations highly depends on the chosen microphysics settings and that for a case with a lot of observed secondary ice production modeled ice crystal concentrations stay below the measured values even after adding new secondary ice processes to the model. In addition to performing sensitivity studies regarding microphysical parametrizations and the direct comparison with observations from the balloon, we analyze the spatial variability of cloud phase and its dependence on different meteorological parameters. Conference Object Arctic Ny Ålesund Ny-Ålesund Svalbard GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Arctic Norway Ny-Ålesund Rime ENVELOPE(6.483,6.483,62.567,62.567) Svalbard |
institution |
Open Polar |
collection |
GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdam |
language |
English |
description |
In common weather and climate models rime-splintering is the only included secondary ice production process. In addition, assumed concentrations of cloud condensation nuclei or cloud droplet number as well as of ice-nucleating particle are higher in standard models than for Arctic environments. This can lead to a misrepresentation of phase distribution in and precipitation from Arctic mixed-phase clouds. During the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) a holographic probe mounted on a tethered balloon took in-situ measurements of ice crystal and cloud droplet number and mass concentrations in Svalbard, Norway, during fall 2019 and spring 2020. In this study, we use the Weather Research and Forecasting (WRF) model to simulate selected case studies from this campaign in a high vertical and spatial resolution. We test the performance of different microphysical parametrizations and apply a new state-of-the-art secondary ice parametrization. We find that the degree of agreement with observations highly depends on the chosen microphysics settings and that for a case with a lot of observed secondary ice production modeled ice crystal concentrations stay below the measured values even after adding new secondary ice processes to the model. In addition to performing sensitivity studies regarding microphysical parametrizations and the direct comparison with observations from the balloon, we analyze the spatial variability of cloud phase and its dependence on different meteorological parameters. |
format |
Conference Object |
author |
Schäfer, B. David, R. Dammann, S. Trude, S. |
spellingShingle |
Schäfer, B. David, R. Dammann, S. Trude, S. Modeling case studies of ice production in Arctic mixed-phase clouds |
author_facet |
Schäfer, B. David, R. Dammann, S. Trude, S. |
author_sort |
Schäfer, B. |
title |
Modeling case studies of ice production in Arctic mixed-phase clouds |
title_short |
Modeling case studies of ice production in Arctic mixed-phase clouds |
title_full |
Modeling case studies of ice production in Arctic mixed-phase clouds |
title_fullStr |
Modeling case studies of ice production in Arctic mixed-phase clouds |
title_full_unstemmed |
Modeling case studies of ice production in Arctic mixed-phase clouds |
title_sort |
modeling case studies of ice production in arctic mixed-phase clouds |
publishDate |
2023 |
url |
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021139 |
long_lat |
ENVELOPE(6.483,6.483,62.567,62.567) |
geographic |
Arctic Norway Ny-Ålesund Rime Svalbard |
geographic_facet |
Arctic Norway Ny-Ålesund Rime Svalbard |
genre |
Arctic Ny Ålesund Ny-Ålesund Svalbard |
genre_facet |
Arctic Ny Ålesund Ny-Ålesund Svalbard |
op_source |
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-4731 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021139 |
op_doi |
https://doi.org/10.57757/IUGG23-4731 |
_version_ |
1772811987562004480 |