A Bayesian analysis of the spatial and temporal variability of aerodynamic roughness

Aerodynamic roughness length (zo ) is a micrometeorological parameter that influences the fluxes of heat and momentum and is determined by surface features. Oftentimes, values are assumed based on vegetation characteristics such as canopy height. A Bayesian approach is utilized to examine the spatial and temporal dynamics of the aerodynamic roughness length. Data from four Ameriflux stations in Kansas positioned over various land cover types are used for this analysis. Land covers consist of an annually burned tall-grass prairie, a site experiencing woody encroachment, an abandoned agricultural field, and an active perennial agricultural crop. Seasonal and spatial trends are presented focusing on the impacts of climate anomalies such as drought, etc. Implications for assuming constant values in modeling studies are discussed.