Shallow Cumulus Cloud-Base Vertical Velocity I: Difference between simulations and observations

 
Poster PDF

Authors

Andrew M. Vogelmann — Brookhaven National Laboratory
Damao Zhang — Pacific Northwest National Laboratory
Satoshi Endo — Brookhaven National Laboratory
Pavlos Kollias — Stony Brook University
Katia Lamer — Brookhaven National Laboratory
William I. Gustafson — Pacific Northwest National Laboratory
Heng Xiao — Pacific Northwest National Laboratory
Mariko Oue — Stony Brook University
David Romps — Lawrence Berkeley National Laboratory

Category

Warm low clouds, including aerosol interactions

Description

Continental boundary layer clouds are important to simulations of weather and climate because of their impact on the lower atmospheric energy and moisture budgets; unfortunately, model parameterizations remain challenged when it comes to representing the observed properties of these clouds in part because small-scale turbulence and convection are not properly represented. To perform model evaluation and adjustments, observational constraints are needed on critical parameters such as cloud-base vertical velocity and its relationship to cloud cover. In this study conducted at the ARM Facility Southern Great Plains (SGP) observatory in Oklahoma, Doppler lidar observations are used as a benchmark for first-light ensemble large-eddy simulations (LES) conducted by the LES ARM Symbiotic Simulation and Observation (LASSO) project (https://www.arm.gov/capabilities/modeling/lasso). The observational component of this work extends on the long-term single-site work of Lamer and Kollias [2015] by incorporating observation from nearby extended facilities providing critical information on regional variability. Initial results indicate that simulations significantly underestimate the frequency of occurrence of downdrafts at cloud base. A detailed investigation of factors that may contribute to these differences is given in the companion poster by Endo et al.