Exploring Atmospheric Boundary Layer Depth Variability in Frontal Environments Over an Arid Region

Abstract Details about atmospheric boundary layer (ABL) dynamics under advection over arid regions remain unexplored. Most numerical weather prediction (NWP) models strictly rely on ABL parametrization schemes steady-state assumptions while observation-based research also considers horizontally homogeneous conditions for estimating depth ( z i ) growth rates. However, how different frontal systems modify thermodynamic features, including , remains sparse in the literature. This work investigates synoptic events impact daytime variability seasons and provides new insights front-relative two sites located an region. Radiosonde-derived profiles obtained during more than 40 2020 from (Amarillo Midland, Texas) have been used. Individual soundings are divided into a three-day period: prefrontal, frontal, postfrontal. The regimes associated further classified four categories: (1) Type-I with elevated mixed (EML) only, (2) Type-II dryline (3) Type-III both EML dryline, (4) Type-IV without or EML. Results suggest that decreases substantially passages is shallower cold sector warm sector. We find postfrontal airmass uniform throughout year compared to prefrontal indicating complexities advection. Regression analyses comparing strength observed Δ (i.e., contrasts estimated via minus sector) do not yield any correlations, which suggests has considerable influence governing unlike when mainly dependent surface forcings. By explaining exchange environments impacts overall dynamics, parametrizations modelling can be developed emphasis