Abstract

Abstract. Downdrafts and cold pool characteristics for strong mesoscale convective systems (MCSs) and isolated, unorganized deep precipitating convection are analyzed using multi-instrument data from the DOE Atmospheric Radiation Measurement (ARM) GoAmazon2014/5 campaign. Increases in column water vapor (CWV) are observed leading convection, with higher CWV preceding MCSs than for isolated cells. For both MCSs and isolated cells, increases in wind speed, decreases in surface moisture and temperature, and increases in relative humidity occur coincidentally with system passages. Composites of vertical velocity data and radar reflectivity from a radar wind profiler show that the downdrafts associated with the sharpest decreases in surface equivalent potential temperature (θe) have a probability of occurrence that increases with decreasing height below the freezing level. Both MCSs and unorganized convection show similar mean downdraft magnitudes and probabilities with height. Mixing computations suggest that, on average, air originating at heights greater than 3 km must undergo substantial mixing, particularly in the case of isolated cells, to match the observed cold pool θe, implying a low typical origin level. Precipitation conditionally averaged on decreases in surface equivalent potential temperature (Δθe) exhibits a strong relationship because the most negative Δθe values are associated with a high probability of precipitation. The more physically motivated conditional average of Δθe on precipitation shows that decreases in θe level off with increasing precipitation rate, bounded by the maximum difference between surface θe and its minimum in the profile aloft. Robustness of these statistics observed across scales and regions suggests their potential use as model diagnostic tools for the improvement of downdraft parameterizations in climate models.

Highlights

  • Convective downdrafts involve complex interactions between dynamics, thermodynamics, and microphysics across scales

  • We examine the sensitivity to averaging by compositing time series of meteorological variables averaged at 30 min intervals and plot results for 6 h leading and lagging the convection

  • We examine the mean θe profiles to place bounds on mixing and downdraft origin with simple thermodynamic arguments and plume computations

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Summary

Introduction

Convective downdrafts involve complex interactions between dynamics, thermodynamics, and microphysics across scales. Precipitation-driven downdrafts are primarily a result of condensate loading and the evaporation of hydrometeors in unsaturated air below cloud base (e.g., Houze, 1993), with evaporation thought to be the main driver (Knupp and Cotton, 1985; Srivastava, 1987). It was originally suggested by Zipser (1977) that the downdrafts in the convective part of a system, referred to in the literature as convective-scale downdrafts, are saturated, and that the downdrafts in the trailing stratiform region (referred to as mesoscale downdrafts) are unsaturated. Studies with large-eddy simulations (LES; Hohenegger and Bretherton, 2011; Torri and Kuang, 2016) in-

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