2017
DOI: 10.5194/acp-17-10195-2017
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The microphysics of clouds over the Antarctic Peninsula – Part 2: modelling aspects within Polar WRF

Abstract: Abstract. The first intercomparisons of cloud microphysics schemes implemented in the Weather Research and Forecasting (WRF) mesoscale atmospheric model (version 3.5.1) are performed on the Antarctic Peninsula using the polar version of WRF (Polar WRF) at 5 km resolution, along with comparisons to the British Antarctic Survey's aircraft measurements (presented in part 1 of this work; Lachlan-Cope et al., 2016). This study follows previous works suggesting the misrepresentation of the cloud thermodynamic phase … Show more

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Cited by 42 publications
(77 citation statements)
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References 47 publications
(73 reference statements)
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“…Below −9 • C, where secondary ice production is likely to be less significant, Listowski and Lachlan-Cope (2017) found that the number of INPs predicted by DeMott et al (2010) gave better agreement with observed ice concentrations over the Antarctic Peninsula compared to INP parameterisations that only use the ambient temperature as input. For MAC, each in-cloud data point was compared with the closest (in time) out-of-cloud aerosol measurement (1 min average, RH < 90 %).…”
Section: Ice Nucleating Particlesmentioning
confidence: 86%
See 1 more Smart Citation
“…Below −9 • C, where secondary ice production is likely to be less significant, Listowski and Lachlan-Cope (2017) found that the number of INPs predicted by DeMott et al (2010) gave better agreement with observed ice concentrations over the Antarctic Peninsula compared to INP parameterisations that only use the ambient temperature as input. For MAC, each in-cloud data point was compared with the closest (in time) out-of-cloud aerosol measurement (1 min average, RH < 90 %).…”
Section: Ice Nucleating Particlesmentioning
confidence: 86%
“…The remote location and harsh conditions cause significant logistical challenges for field projects in this region. As a consequence, there is evidence that clouds and their radiative properties are poorly represented in weather and climate models over Antarctica (Bromwich et al, 2013;King et al, 2015;Listowski and Lachlan-Cope, 2017) and the Southern Ocean .…”
mentioning
confidence: 99%
“…For domains with a resolution greater or equal than 9 km, the Kain‐Fritsch cumulus scheme has been activated. This physical package was set after consideration of previous evaluation studies (Bromwich et al, ; Deb et al, ; Listowski & Lachlan‐Cope, ; Young et al, ) and preliminary sensitivity tests over Adélie Land.…”
Section: Methodsmentioning
confidence: 99%
“…As our study will focus on regional simulations, we will perform sensitivity tests upon the choice among bulk schemes only. Using recent airborne measurements, Listowski and Lachlan‐Cope () have assessed the performances of five bulk microphysical schemes in Polar WRF to represent clouds over the Antarctic Peninsula. The authors showed that the WRF single‐moment scheme 5—WSM5 (Hong et al, ), used in the Antarctic Mesoscale Prediction System—and the WRF Double moment scheme 6—WDM6 (Lim & Hong, ), an upgrade version of WSM5—showed the largest biases in observed supercooled liquid water.…”
Section: Methodsmentioning
confidence: 99%
“…As an optical array shadow probe, the 2-DS images particles of (nominal) sizes from 10 to 1,280 m and can only skilfully conduct phase separation in mixed-phase clouds at particle sizes >80 m; therefore, we exclusively compare between observations and model data in this size range. The Morrison cloud microphysics scheme (Morrison et al, 2005, hereafter, M05) was used within version 3.6.1 of the PolarWRF model: M05 has been previously shown to perform well in reproducing Antarctic clouds by reducing biases in both the cloud supercooled liquid water and the associated surface radiative fluxes in simulations over the eastern Antarctic Peninsula (Listowski & Lachlan-Cope, 2017). Further details on observational data are included in supporting information S1 (Baumgardner et al, 2001;Glen & Brooks, 2013).…”
Section: Instrumentation and Modelmentioning
confidence: 99%