Spatial and temporal correlation length as a measure for the stationarity of atmospheric dust aerosol distribution

摘要: Abstract Fields of dust aerosol optical depth (AOD) from numerical models and satellite observations are widely used data sets for evaluating the actual distribution atmospheric aerosol. In this study we investigate use estimates spatial temporal correlation lengths (CLs) calculated simulations using regional model system COSMO-MUSCAT (COSMO: Consortium Small-scale Modelling; MUSCAT: MUltiScale Chemistry Aerosol Transport Model) to characterize variability distribution, here mineral dust, provide an estimate on output interval required in order represent local evolution dustiness. The CLs indicate scales thus stationarity conditions space time. Additionally, can be resolution time observational systems observe changes that would relevant forecasts. Here, two years analyzed. individual 2007 2008 compared entire two-year period illustrating impact length series statistical analysis. chosen as they contrasting with regard loads additional information representativeness Results CL analysis against observations, AOD inferred IASI (Infrared Atmospheric Sounding Interferometer), which provides bi-daily loading over desert land ocean. Although estimated at a generally lower level values, results demonstrate applicability daily assessing distribution. Main outcomes illustrate characterizing spatio-temporal This is particular interest determining intervals example forecasts need provided. further sufficient regions such Mediterranean region far sources.