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Supercooled liquid water cloud observed, analysed, and modelled at the top of the planetary boundary layer above Dome C, Antarctica

机译:观察,分析和在南极洲的行星边界层顶部观察,分析和建模的过冷液体水云

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A comprehensive analysis of the water budget over the Dome C (Concordia, Antarctica) station has been performed during the austral summer 2018–2019 as part of the Year of Polar Prediction (YOPP) international campaign. Thin (~100m deep) supercooled liquid water (SLW) clouds have been detected and analysed using remotely sensed observations at the station (tropospheric depolarization lidar, the H2O Antarctica Microwave Stratospheric and Tropospheric Radiometer (HAMSTRAD), net surface radiation from the Baseline Surface Radiation Network (BSRN)), radiosondes, and satellite observations (CALIOP, Cloud-Aerosol LIdar with Orthogonal Polarization/CALIPSO, Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observations) combined with a specific configuration of the numerical weather prediction model: ARPEGE-SH (Action de Recherche Petite Echelle Grande Echelle – Southern Hemisphere). The analysis shows that SLW clouds were present from November to March, with the greatest frequency occurring in December and January when ~50% of the days in summer time exhibited SLW clouds for at least 1h. Two case studies are used to illustrate this phenomenon. On 24?December?2018, the atmospheric planetary boundary layer (PBL) evolved following a typical diurnal variation, which is to say with a warm and dry mixing layer at local noon thicker than the cold and dry stable layer at local midnight. Our study showed that the SLW clouds were observed at Dome C within the entrainment and the capping inversion zones at the top of the PBL. ARPEGE-SH was not able to correctly estimate the ratio between liquid and solid water inside the clouds with the liquid water path (LWP) strongly underestimated by a factor of 1000 compared to observations. The lack of simulated SLW in the model impacted the net surface radiation that was 20–30Wm?2 higher in the BSRN observations than in the ARPEGE-SH calculations, mainly attributable to the BSRN longwave downward surface radiation being 50Wm?2 greater than that of ARPEGE-SH. The second case study took place on 20?December?2018, when a warm and wet episode impacted the PBL with no clear diurnal cycle of the PBL top. SLW cloud appearance within the entrainment and capping inversion zones coincided with the warm and wet event. The amount of liquid water measured by HAMSTRAD was ~20 times greater in this perturbed PBL than in the typical PBL. Since ARPEGE-SH was not able to accurately reproduce these SLW clouds, the discrepancy between the observed and calculated net surface radiation was even greater than in the typical PBL case, reaching +50Wm?2, mainly attributable to the downwelling longwave surface radiation from BSRN being 100Wm?2 greater than that of ARPEGE-SH. The model was then run with a new partition function favouring liquid water for temperatures below ?20 down to ?40°C. In this test mode, ARPEGE-SH has been able to generate SLW clouds with modelled LWP and net surface radiation consistent with observations during the typical case, whereas, during the perturbed case, the modelled LWP was 10 times less than the observations and the modelled net surface radiation remained lower than the observations by ~50Wm?2. Accurately modelling the presence of SLW clouds appears crucial to correctly simulate the surface energy budget over the Antarctic Plateau.
机译:2018 - 2019年南夏季夏季夏季夏季夏季,综合分析了圆顶C(Concordia,南极洲)站,作为极地预测(Yopp)国际运动年的一年。薄(〜100m深)超冷却液体水(SLW)云已经在站点(对流层去极化LIDAR,H2O南极微波散流器和对流层辐射计(HAMSTRAD),从基线表面辐射的净表面辐射进行了分析并分析网络(BSRN)),无线电探空仪和卫星观察(Caliop,具有正交偏振/ Calipso,云气溶胶LIDAR和红外探伤卫星观察)的云溶,云升降序列)与数值天气预报模型的特定配置相结合:ARPEGE-SH(动作De Recherche Petite Echelle Grande Echelle - 南半球)。分析表明,SLW云从11月到3月出现,最大的频率在12月和1月出现的夏季时间约为50%的日子,展现了SLW云至少1H。使用两种案例研究来说明这种现象。在24岁?2018年,大气行星边界层(PBL)在典型的昼夜变化之后演化,即在局部中午在局部午夜时比冷和干燥的稳定层厚的温热和干混层。我们的研究表明,在夹带内的圆顶C和PBL顶部的封盖反演区中观察到SLW云。 Arpege-Sh无法正确估计云层内液体和固体水之间的比率,与观察结果相比强烈低估的液体水路(LWP)百分率1000系列。模型中缺乏模拟的SLW影响了BSRN观察中20-30WM的净表面辐射,而不是在ARPEGE-SH计算中,主要是由于BSRN龙波向下的表面辐射为50WM?2大于arpege-sh。第二个案例研究发生在20月12月?2018年,当一个温暖和潮湿的情节影响PBL的PBL顶部没有明显的昼夜循环时。夹带内的SLW云外观和封盖反演区恰逢温暖和潮湿的事件。汉斯特拉德测量的液态水量在这种扰动PBL中比在典型的PBL中均为〜20倍。由于ARPEGE-SH无法准确地再现这些SLW云,因此观察和计算的净表面辐射之间的差异甚至大于典型的PBL案例,达到+ 50WM?2,主要归因于来自BSRN的贫困长波表面辐射100WM?2大于Arpege-Sh的2。然后使用新的隔板函数来运行模型,优先于低于液体水的液态水〜20°C下降20°C。在该测试模式中,ARPEGE-SH已经能够产生具有模型LWP和净表面辐射的SLW云,并且在典型情况下与观测一致,而在扰动情况下,所建模的LWP比观察结果少10倍,并且模型净表面辐射仍然低于〜50WM〜2的观察结果。准确建模SLW云的存在对于正确模拟南极高原的表面能预算至关重要。

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