Supplemental dataset for "The diffusion of convective activity by cold pools"

This dataset is supplemental material to the manuscript "The diffusion of convective activity by cold pools," which has been submitted to the Journal of the Atmospheric Sciences. movie_Fig2: A movie version of Fig2 that show the horizontal anomaly of midlevel water vapor mixing ratio (first row), near-surface water vapor mixing ratio (second row), and near-surface potential temperature (third row). The first, second, and third column shows the result of Ev=0.2, 1, and 2.5 CM1 simulations, respectively. Fig. S1: Comparison between the longwave radiative heating rate and surface sensible heating rate in cold pool regions, using the Ev=1 experiment at t=2.5 days and showing the 100 km x 100 km southwest corner of the domain. (a) The total radiative heating rate (shortwave plus longwave) vertically averaged from 0 to z=281.6 m (the lowest four model levels), which is roughly the cold pool height (half the mixed layer depth). The nonuniform vertical grid spacing is considered using a trapezoidal integral. The air density is assumed vertically uniform for simplicity. We find but do not show here that the lowest model level contributes a considerable positive longwave heating rate, but the 2-4th vertical levels contribute to negative longwave heating rate. (b) The effective sensible heating rate is calculated by dividing the surface sensible heat flux by z=281.6 m. In cold pool regions (where the surface sensible heating rate is anomalously high), the total radiative heating rate (~0.5 K/day) is much smaller than the effective sensible heating rate (~3 K/day). Fig. S2: The lowest model level (z=0.025km) - sea surface temperature (300 K) difference ∆θ in the southwest 100 km x 100 km corner of (a) Ev=0.2, (b) Ev=1, and (c) Ev=2.5 CM1 simulations. postprocessing_codes.zip: The postprocessing codes. The script coldpool_size.m diagnoses the mean cold pool size and stores the result in R_array.mat. It also plots the flow field (Figs. 2 and 3). The script theory_time.m reads R_array.mat and calculates the cloud interaction length scale (Fig. 12). The script theory.m plots the surface flux (Fig. 10) and the convective memory weight (Fig. 11). math_derivaiton.pdf: The mathematical derivation note of the cloud chain model. If you have any questions, please contact Dr. Hao Fu: [e-mail]