Journal
ATMOSPHERE
Volume 12, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/atmos12091122
Keywords
Black Sea; coastal boundary layer; wind speed profiles; remote sensing data; sodar; Weibull distribution; scale and shape parameters; reversal height; internal boundary layer; climatological studies
Funding
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
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This study investigated more than seven years of high spatial and temporal resolution remote sensing data to analyze the characteristics of wind fields. The results showed an increase in nighttime winds at higher altitudes and lower speeds during the day, with analysis of the wind field characteristics using Weibull distribution parameters providing insights into the vertical structure of the coastal boundary layer.
More than seven years of remote sensing data with high spatial and temporal resolution were investigated in this study. The 20-min moving averaged wind profiles form the acoustic sounding with Scintec MFAS sodar were derived every 10 min. The profiles covered from 30 to 600 m height with vertical resolution of 10 m. The wind speed probability and the Weibull distribution parameters were calculated by the maximum likelihood method at each level and then the profiles of the Weibull scale and shape parameters were analyzed. Diurnal wind speed at heights above 200 m has shown a well-expressed increase in the averaged values during the night hours, while during the day lower wind speeds were observed. The reversal height was explored from spatially and temporally homogenized diurnal wind speed data with applied quadratic functions for better interpretation of the results. In addition, analyses by type of air masses (land or sea air mass) were performed. One of the outcomes of the study was assessment of the internal boundary layer height, which was estimated to 50-80 m at the location of the sodar. The obtained information forms the basis for climatological insights on the vertical structure of the coastal boundary layer and is unique long-term data set important not only for Bulgaria but for coastal meteorology in general.
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