Abstract

Recently launched cloud observing satellites provide information about the vertical structure of deep convection and its microphysical characteristics. In this study, CloudSat reflectivity data is stratified by cloud type, and the contoured frequency by altitude diagrams reveal a double-arc structure in deep convective cores (DCCs) above 8 km. This suggests two distinct hydrometeor modes (snow versus hail/graupel) controlling variability in reflectivity profiles. The day–night contrast in the double arcs is about four times larger than the wet–dry season contrast. Using QuickBeam, the vertical reflectivity structure of DCCs is analyzed in two versions of the Superparameterized Community Atmospheric Model (SP-CAM) with single-moment (no graupel) and double-moment (with graupel) microphysics. Double-moment microphysics shows better agreement with observed reflectivity profiles; however, neither model variant captures the double-arc structure. Ultimately, the results show that simulating realistic DCC vertical structure and its variability requires accurate representation of ice microphysics, in particular the hail/graupel modes, though this alone is insufficient.

Highlights

  • As a driver of the hydrological cycle, the frequency and intensity of atmospheric deep convection influences spatial and temporal characteristics of precipitation

  • The convective diurnal cycle (CDC) is characterized by a rapid insolation-driven transition from shallow to deep convection in the early afternoon, followed by either a slow decay through the evening and early morning, or transition into mesoscale convective systems (MCSs), persisting into the morning (Machado et al, 1998; Nesbitt and Zipser, 2003)

  • How do the ice hydrometeor species contribute to radar reflectivity? Figures 9 and 10 show the change in snow water content (SWC) and graupel water content (GWC) with Wmax, respectively

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Summary

Introduction

As a driver of the hydrological cycle, the frequency and intensity of atmospheric deep convection influences spatial and temporal characteristics of precipitation. This new perspective clarifies previous findings, and reveals a unique, previously unreported double-arc structure in the average radar reflectivity profile of deep convection This new finding relates to the ice microphysical structure relevant to convective dynamic and thermodynamic properties, including precipitation rate, downdraft and cold pool strength (affected by evaporation and sublimation of hydrometeors), latent heating vertical profile (and associated warming and drying of the convective environment), and detrained water mass (McCumber et al, 1991; Grabowski et al, 1999; Gilmore et al, 2004; Li et al, 2005). The simulation of deep convective characteristics, and the comparison between simulation and observations, benefits from a detailed representation of ice microphysics

Observations
Modeling
Mean cloud properties
Deep convective reflectivity profiles
Day versus night and wet versus dry season variability
Comparison with simulated cloud from a multi-scale modeling framework
Simulated reflectivity and vertical velocity profiles
Simulated reflectivity stratified by updraft velocity
Hydrometeor variability by updraft velocity
Findings
Summary and discussion
Full Text
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