Aircraft observations of cold pools under marine stratocumulus

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Abstract

Although typically associated with precipitating cumuli, cold pools also form under shallower stratocumulus. This study presents cold-pool observations as sampled by the NSF/NCAR C-130, which made cloud and boundary-layer measurements over the southeast Pacific stratocumulus region at an altitude of approximately 150 m during the VOCALS Regional Experiment. Ninety edges of cold pools are found in the C-130 measurements by identifying step-like changes in the potential temperature. Examination of their mesoscale environment shows that the observed cold pools tend to form under heavier precipitation, thicker clouds, and in cleaner environments. Cold pools are also found to form under clouds with high LWP values over the night of or before sampling. When they form, cold pools often form in clusters or on top of each other, rather than as separate, individual entities. Their sizes range from 2 km to 16 km (middle 50th percentile), where the largest of cold pools are associated with the greatest drops in temperature. Composites of various observed thermodynamic and chemical variables along the cold-pool edges indicate increased humidity, equivalent potential temperature, coarse-mode aerosol, and dimethyl sulfide concentration inside cold pools. The enhancements inside cold pools are consistent with increased static stability that traps fluxes from the ocean surface in the lowest levels of the boundary layer. By using pressure perturbations, the average cold pool is estimated to be approximately 300 m deep. The temperature depression in cold pools also leads to density-driven flows that drive convergence of horizontal winds and measurable, mechanically driven vertical wind velocity at the edges of cold pools. © 2013 Author(s).

Figures

  • Fig. 1. Time series of aircraft data from a subcloud flight leg (∼ 150 m) flown during RF04 (23 October 2008∼ 10:00 UTC 20◦ S 83◦ W): (a) cloud top height (gray), cloud base height (solid black), and lifting condensation level at aircraft height (Bolton, 1980, dotted); (b) cloud base radar reflectivity, as measured by the WCR, and corresponding precipitation rate using a Z–R relationship from Comstock et al. (2004); (c) in situ potential temperature (θ ), where the red triangles indicate the location of cold-pool edges, as identified by the criteria described in the text; (d) in situ water vapor mixing ratio (qv). The distance along the x axis is approximated from the time series assuming the aircraft flies at a mean ground speed of 100 ms−1.
  • Fig. 2. Schematic showing how cold pools are identified in the potential temperature (θ ) time series. Along the x axis, time t increases to the right, while along the y axis, θ increases upward. In this case, the data point at time t = 0 is identified a cold pool if 1θa, 1θb, 1θc, and 1θd satisfy the criteria.
  • Fig. 4. Cumulative distribution of the observed cold-pool size (blue), where each cold pool is weighted using Eq. (5). Note that the x axis is log-scale and size bin widths are equal in log-space. The log-normal fit (mean of the natural logarithm µ= 2.45 and standard deviation of the natural logarithm σ = 1.25) based on the weighted data is plotted in gray.
  • Fig. 3. The top panels show the GOES-10 satellite imagery from 11 µm channel in a 1◦ (a) and 6◦ square box (b) centered on the flight leg (orange) taken during the flight leg (23 October 2008 at 10:28 UTC). (c) Corresponds to Fig. 1a, where cloud top height (gray), cloud base height (solid black), and LCL (dotted) are shown. The θ time series in (d) shows the location and size of cold pools detected by the algorithm described in the text. Each colored segment over the θ time series represents an individual cold pool.
  • Fig. 5. The cold-pool size plotted against the θ difference between mean θ inside the cold pool and mean θ 2.5 km outside the cold pool.
  • Fig. 6. Geographic location of subcloud flight legs flown by the C130 during VOCALS-REx. Red dots indicate legs in which no cold pools were observed. Blue dots indicate legs in which 1 cold pool was observed, while the stars indicate where 2–5 and open circles indicate where 6–11 cold pools were observed.
  • Fig. 7. Leg-mean cloud base precipitation rates, estimated from WCR radar reflectivity and Z–R relationship from Comstock et al. (2004), are plotted against the leg-mean cloud thicknesses for legs with (blue) and without (red) cold pools. Open circle indicate legs located in pockets of open cells, all of which had cold pools.
  • Fig. 8. Leg-mean PCASP aerosol concentrations are plotted against the leg-mean cloud top heights obtained from the WCR for legs with (blue) and without (red) cold pools. Open circle indicate legs located in pockets of open cells, all of which had cold pools.

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CITATION STYLE

APA

Terai, C. R., & Wood, R. (2013). Aircraft observations of cold pools under marine stratocumulus. Atmospheric Chemistry and Physics, 13(19), 9899–9914. https://doi.org/10.5194/acp-13-9899-2013

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