Articles | Volume 17, issue 17
https://doi.org/10.5194/acp-17-10195-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-10195-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 Aug 2017
Research article |
| 31 Aug 2017
The microphysics of clouds over the Antarctic Peninsula – Part 2: modelling aspects within Polar WRF
Constantino Listowski
CORRESPONDING AUTHOR
British Antarctic Survey, NERC, High Cross, Madingley Rd, Cambridge, CB3 0ET, UK
now at: LATMOS/IPSL, UVSQ Université Paris-Saclay, UPMC Univ. Paris 06, CNRS, Guyancourt, France
Tom Lachlan-Cope
British Antarctic Survey, NERC, High Cross, Madingley Rd, Cambridge, CB3 0ET, UK
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Cited
34 citations as recorded by crossref.
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- Simulations of orographic precipitation in the Snowy Mountains of Southeastern Australia F. Sarmadi et al. 10.1016/j.atmosres.2019.01.002
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- On the fine vertical structure of the low troposphere over the coastal margins of East Antarctica É. Vignon et al. 10.5194/acp-19-4659-2019
- Major surface melting over the Ross Ice Shelf part II: Surface energy balance X. Zou et al. 10.1002/qj.4105
- Supercooled liquid water cloud observed, analysed, and modelled at the top of the planetary boundary layer above Dome C, Antarctica P. Ricaud et al. 10.5194/acp-20-4167-2020
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- Atmospheric Drivers of Melt on Larsen C Ice Shelf: Surface Energy Budget Regimes and the Impact of Foehn A. Elvidge et al. 10.1029/2020JD032463
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- Model Analysis of Origination of Semidirect Radiative Effect of Siberian Biomass Burning Aerosol in the Arctic I. Konovalov & N. Golovushkin 10.1134/S1024856024700477
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- Cloud Influence on ERA5 and AMPS Surface Downwelling Longwave Radiation Biases in West Antarctica I. Silber et al. 10.1175/JCLI-D-19-0149.1
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- Synergistic Use of Far‐ and Mid‐Infrared Spectral Radiances for Satellite‐Based Detection of Polar Ice Clouds Over Ocean C. Peterson et al. 10.1029/2021JD035733
- Major surface melting over the Ross Ice Shelf part I: Foehn effect X. Zou et al. 10.1002/qj.4104
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- Recent Near-surface Temperature Trends in the Antarctic Peninsula from Observed, Reanalysis and Regional Climate Model Data D. Bozkurt et al. 10.1007/s00376-020-9183-x
- Aerosols Observations with a new lidar station in Punta Arenas, Chile B. Barja et al. 10.1051/epjconf/201817605038
33 citations as recorded by crossref.
- In situ measurements of cloud microphysics and aerosol over coastal Antarctica during the MAC campaign S. O'Shea et al. 10.5194/acp-17-13049-2017
- Simulations of orographic precipitation in the Snowy Mountains of Southeastern Australia F. Sarmadi et al. 10.1016/j.atmosres.2019.01.002
- Supercooled liquid water clouds observed over Dome C, Antarctica: temperature sensitivity and cloud radiative forcing P. Ricaud et al. 10.5194/acp-24-613-2024
- Secondary ice production in summer clouds over the Antarctic coast: an underappreciated process in atmospheric models G. Sotiropoulou et al. 10.5194/acp-21-755-2021
- On the fine vertical structure of the low troposphere over the coastal margins of East Antarctica É. Vignon et al. 10.5194/acp-19-4659-2019
- Major surface melting over the Ross Ice Shelf part II: Surface energy balance X. Zou et al. 10.1002/qj.4105
- Supercooled liquid water cloud observed, analysed, and modelled at the top of the planetary boundary layer above Dome C, Antarctica P. Ricaud et al. 10.5194/acp-20-4167-2020
- Clouds drive differences in future surface melt over the Antarctic ice shelves C. Kittel et al. 10.5194/tc-16-2655-2022
- Challenging and Improving the Simulation of Mid‐Level Mixed‐Phase Clouds Over the High‐Latitude Southern Ocean É. Vignon et al. 10.1029/2020JD033490
- Simulating Southern Ocean Aerosol and Ice Nucleating Particles in the Community Earth System Model Version 2 C. McCluskey et al. 10.1029/2022JD036955
- Radiative Effects of Secondary Ice Enhancement in Coastal Antarctic Clouds G. Young et al. 10.1029/2018GL080551
- Characterization of snowfall estimated by in situ and ground-based remote-sensing observations at Terra Nova Bay, Victoria Land, Antarctica C. Scarchilli et al. 10.1017/jog.2020.70
- Microphysics of summer clouds in central West Antarctica simulated by the Polar Weather Research and Forecasting Model (WRF) and the Antarctic Mesoscale Prediction System (AMPS) K. Hines et al. 10.5194/acp-19-12431-2019
- Modeling cloud properties over the 79 N Glacier (Nioghalvfjerdsfjorden, NE Greenland) for an intense summer melt period in 2019 M. Andernach et al. 10.1002/qj.4374
- Atmospheric Drivers of Melt on Larsen C Ice Shelf: Surface Energy Budget Regimes and the Impact of Foehn A. Elvidge et al. 10.1029/2020JD032463
- Microphysics of Snowfall Over Coastal East Antarctica Simulated by Polar WRF and Observed by Radar É. Vignon et al. 10.1029/2019JD031028
- Strong Warming Over the Antarctic Peninsula During Combined Atmospheric River and Foehn Events: Contribution of Shortwave Radiation and Turbulence X. Zou et al. 10.1029/2022JD038138
- Model Analysis of Origination of Semidirect Radiative Effect of Siberian Biomass Burning Aerosol in the Arctic I. Konovalov & N. Golovushkin 10.1134/S1024856024700477
- Summertime cloud phase strongly influences surface melting on the Larsen C ice shelf, Antarctica E. Gilbert et al. 10.1002/qj.3753
- The influence of föhn winds on annual and seasonal surface melt on the Larsen C Ice Shelf, Antarctica J. Turton et al. 10.5194/tc-14-4165-2020
- Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China W. Zhang et al. 10.5194/acp-22-15207-2022
- Predicting Frigid Mixed‐Phase Clouds for Pristine Coastal Antarctica K. Hines et al. 10.1029/2021JD035112
- Antarctic clouds, supercooled liquid water and mixed phase, investigated with DARDAR: geographical and seasonal variations C. Listowski et al. 10.5194/acp-19-6771-2019
- Precipitation phase transition in austral summer over the Antarctic Peninsula A. Chyhareva et al. 10.33275/1727-7485.1.2021.664
- In situ observations of supercooled liquid water clouds over Dome C, Antarctica, by balloon-borne sondes P. Ricaud et al. 10.5194/amt-17-5071-2024
- Cloud Influence on ERA5 and AMPS Surface Downwelling Longwave Radiation Biases in West Antarctica I. Silber et al. 10.1175/JCLI-D-19-0149.1
- High-resolution (1 km) Polar WRF output for 79° N Glacier and the northeast of Greenland from 2014 to 2018 J. Turton et al. 10.5194/essd-12-1191-2020
- Improving the detailing of atmospheric processes modelling using the Polar WRF model: a case study of a heavy rainfall event at the Akademik Vernadsky station D. Pishniak & B. Beznoshchenko 10.33275/1727-7485.2.2020.650
- Synergistic Use of Far‐ and Mid‐Infrared Spectral Radiances for Satellite‐Based Detection of Polar Ice Clouds Over Ocean C. Peterson et al. 10.1029/2021JD035733
- Major surface melting over the Ross Ice Shelf part I: Foehn effect X. Zou et al. 10.1002/qj.4104
- Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic D. Kim & H. Kim 10.1098/rsos.240594
- Antarctic atmospheric Richardson number from radiosonde measurements and AMPS Q. Yang et al. 10.5194/acp-23-6339-2023
- Recent Near-surface Temperature Trends in the Antarctic Peninsula from Observed, Reanalysis and Regional Climate Model Data D. Bozkurt et al. 10.1007/s00376-020-9183-x
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
Modelling Antarctic tropospheric clouds remains challenging because of the lack of observations in this remote place. We use aircraft in situ observations to assess the performances of simulations over the Antarctic Peninsula within the Polar Weather Research and Forecasting model. The cloud scheme used by the operational forecast model AMPS performs the least well. Ice microphysics is key for correctly modelling the supercooled liquid phase and hence for lowering the surface radiative biases.
Modelling Antarctic tropospheric clouds remains challenging because of the lack of observations...
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