Evaluation of the WRF model for simulating deep convection and cold‐pool characteristics relevant to wind‐energy applications in Germany

Abstract

Deep convection and cold-pool characteristics over Germany during July 2023 are investigated using Deutscher Wetterdienst (DWD) radar observations and a convection-permitting Weather Research and Forecasting (WRF) model simulation. The analysis combines instantaneous snapshots of convection with a Lagrangian tracking approach to examine the life cycles of isolated convective cells. WRF successfully captures the general morphology and evolution of deep convection and associated cold pools, although it tends to produce smaller, more intense rain-producing cells. Simulated cold-pool properties-including wind gusts and virtual potential temperature (thetav) reductions-align well with observations (e.g., median thetav drop of -2.95 K and wind gusts of 4.28 m/s, extreme gusts of > 10 m/s), suggesting that the model represents key features of convective outflows reliably. The temporal evolution of convective cell properties shows a downward-facing parabolic pattern in both model and observations in terms of cell size, rain rate, and reflectivity, although WRF intensifies convection too quickly and consistently overestimates rain rates. An analysis of wind-energy-relevant metrics reveals that cold pools induce substantial increases in wind speed, stability, and vertical shear. Estimated power output increases by 35%–60% for long-lived cells and 33%–50% for short-lived ones, peaking during the mid-to-late cell life cycle. These findings highlight the need to consider cold-pool dynamics in wind-energy forecasting and operations.