Ice formation and development in aged, wintertime cumulus over the UK: Observations and modelling

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Abstract

In situ high resolution aircraft measurements of cloud microphysical properties were made in coordination with ground based remote sensing observations of a line of small cumulus clouds, using Radar and Lidar, as part of the Aerosol Properties, PRocesses And InfluenceS on the Earth's climate (APPRAISE) project. A narrow but extensive line (∼100 km long) of shallow convective clouds over the southern UK was studied. Cloud top temperatures were observed to be higher than-8°C, but the clouds were seen to consist of supercooled droplets and varying concentrations of ice particles. No ice particles were observed to be falling into the cloud tops from above. Current parameterisations of ice nuclei (IN) numbers predict too few particles will be active as ice nuclei to account for ice particle concentrations at the observed, near cloud top, temperatures (-7.5°C). The role of mineral dust particles, consistent with concentrations observed near the surface, acting as high temperature IN is considered important in this case. It was found that very high concentrations of ice particles (up to 100 L -1) could be produced by secondary ice particle production providing the observed small amount of primary ice (about 0.01 L -1) was present to initiate it. This emphasises the need to understand primary ice formation in slightly supercooled clouds. It is shown using simple calculations that the Hallett-Mossop process (HM) is the likely source of the secondary ice. Model simulations of the case study were performed with the Aerosol Cloud and Precipitation Interactions Model (ACPIM). These parcel model investigations confirmed the HM process to be a very important mechanism for producing the observed high ice concentrations. A key step in generating the high concentrations was the process of collision and coalescence of rain drops, which once formed fell rapidly through the cloud, collecting ice particles which caused them to freeze and form instant large riming particles. The broadening of the droplet size-distribution by collision-coalescence was, therefore, a vital step in this process as this was required to generate the large number of ice crystals observed in the time available. Simulations were also performed with the WRF (Weather, Research and Forecasting) model. The results showed that while HM does act to increase the mass and number concentration of ice particles in these model simulations it was not found to be critical for the formation of precipitation. However, the WRF simulations produced a cloud top that was too cold and this, combined with the assumption of continual replenishing of ice nuclei removed by ice crystal formation, resulted in too many ice crystals forming by primary nucleation compared to the observations and parcel modelling. © 2012 Author(s).

Figures

  • Table 1. Summary of constant altitude runs performed by the FAAM BAe146 aircraft in the operational area to the west of Chilbolton on 22 January 2009, flight reference B425, indicating start and end times of run, mean altitude and temperature of run and direction of run with respect to CFARR.
  • Fig. 1. The 253 degree radial and flight track (blue) of the FAAM BAe146 aircraft on the 22 January 2009 (see Table 1 for details of runs/manoeuvres). Also shown are: the location of CFARR (red cross); the location of radiosonde stations at Cambourne, Larkhill, Herstmonceux and Aberporth (C, L, H and A respectively). The inner box highlights the 3rd or inner domain used in the WRF model sensitivity studies (see Sect. 5.1).
  • Fig. 2. Time-height contour plot of vertically pointing cloud radar (top panel) and lidar ceilometer (bottom panel) during flight B425. Black markers on the radar time series show the height range of the cloud base detected by the lidar.
  • Fig. 3. In situ cloud particle number concentrations and ice and liquid water contents from flight B425, runs R1 to R7, as a function of ambient temperature. Red dots indicate a single 1Hz data point; the black diamond is the median for the run and the large blue circle is the mean. The two smaller interconnected blue circles are one standard deviation from the mean.
  • Fig. 4. Reflectivity from the 3 GHz CAMRa RHI scan along the 253◦ radial and GPS altitude (a) – (top panel, time of scan indicated in top left). In situ total particle number concentration (black lines, left axes) and mass loadings (blue lines, right axes) measured by the CDP (b) as a function of distance from CFARR; 2DS round classification (c), and 2DS ice classification (d). Also shown (e); in situ temperature from the de-iced Rosemount sensor; vertical wind speed from the 5-hole pressure port turbulence probe, all from run R1, inbound to CFARR.
  • Fig. 5. Same as Fig. 4 but for Run R3, inbound to CFARR.
  • Fig. 6. (a) the ground based and aircraft (run R2, below cloud) aerosol size distribution measurements. Red line: SMPS (ground); Black line: PCASP (aircraft); Green line: GRIMM (ground); Blue line: WIBS total (ground). Note that in some of the ACPIM runs we assumed that the aerosols had size independent composition (as shown in a) and in other runs that the aerosol had a small mode of non-hygroscopic organic aerosols (as shown in b). (c) the fraction of aerosols measured by the WIBS and determined to be of biological origin (black line), and the fraction of the filter sample derived aerosol size distribution (determined from ESEM/EDX analysis of samples) that was refractory in nature (red line). The three lognormal modes that were fitted to the data have fit parameters: n= [3221, 145, 13.7] cm−3; d̄ = [37, 200, 861] nm and lnσg = [0.50, 0.40, 0.49].
  • Fig. 7. (a) The results of parcel model simulations predicting the CCN concentration for different prescribed up-draught speeds plotted against the peak super-saturation attained, for different assumptions regarding mixed aerosol composition (see text). Also shown on the same plot are the measured CCN concentrations at super-saturations of 0.08 and 0.12 % in the air below cloud base (from aircraft run R2 below cloud base); (b) the modelled CCN concentrations plotted against updraft speed for the same cases. The Pure (NH4)2SO4, Pure fulvic acid and Internal mixture cases correspond to runs that assume a constant composition across the whole size distribution (see Fig. 6a for a schematic); the External mixture case corresponds to an external mixture of three pure components, that have equal number ratios across the whole distribution (see text); and the Ext. mix 2 case refers to an assumption where the smallest mode has a composition that is a nonhygroscopic organic acid with the other modes set to an internal mixture as described in the text (see Fig. 6b for a schematic). The effect that this latter assumption has is to limit the maximum number activated to approximately 180 cm−3 for updrafts larger than ∼ 0.5 m s−1.

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APA

Crawford, I., Bower, K. N., Choularton, T. W., Dearden, C., Crosier, J., Westbrook, C., … Blyth, A. (2012). Ice formation and development in aged, wintertime cumulus over the UK: Observations and modelling. Atmospheric Chemistry and Physics, 12(11), 4963–4985. https://doi.org/10.5194/acp-12-4963-2012

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