Estimating Vertical Velocity in Convective Updrafts from Temperature, Pressure, and Latent Heating
Amel Derras-Chouk, Gregory Elsaesser, Zhengzhao Johnny Luo, Toshi Matsui, Andreas F. Prein, and Jingbo Wu

TL;DR
This paper introduces a new method to estimate vertical velocities in convective clouds using temperature, pressure, and latent heating data, validated against simulations across different environments.
Contribution
The paper develops an analytical model-based method for estimating convective vertical velocities from in-cloud profiles, enabling global long-term assessments.
Findings
Estimates are accurate within ~1 m/s in tropical clouds.
Method shows lower uncertainty in tropical regions compared to mid-latitudes.
Validation against simulations demonstrates the method's robustness across models and resolutions.
Abstract
The vertical velocity in convective clouds () mediates convective anvil development and global moisture transport, influencing Earth's energy budget, but has yet to be estimated globally over long periods due to the absence of spaceborne retrievals. Here, a method for estimating given vertical profiles of in-cloud temperature, pressure, and latent heating rate is presented and assessed. The method relies on analytical models for the approximately linear relationship between and condensation rate () in convective clouds, which we derive from steady-state and non-steady-state plume models. We include in our analysis a version of derived from the supersaturation rate in convective clouds, recently presented in Kukulies et al. (2024). We assess the accuracy of estimates against convective cloud simulations run with different model…
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