BREEZE MetView contains data rose functionality. Similar to a wind rose, a data rose allows users to plot any variable against wind direction. BREEZE MetView also gives users the unique ability to append data to their meteorological data file. With this ability, users can turn the data rose into a true pollution rose.
Identify Trends and Correlations
This functionality was developed to merge measured ambient air data with meteorological data to identify geospatial trends, patterns, and correlations that can be used to explain relationships between meteorological data and measure ambient chemical concentrations. Specifically, pollution rose diagrams are designed to visually illustrate the distribution of wind direction temporally correlated with ambient air monitoring data.
Identify Met Conditions
Pollution rose diagrams are often used to correlate wind direction with observed or measured ambient air data to identify the met conditions (e.g., wind speed, wind direction) that occur during a specific measurement event, such as the maximum annual benzene concentration. Meteorological conditions can also be viewed for a user-defined range of pollution (e.g., >50 ug/m^3). The information can be used to identify or exclude possible emission sources responsible for the measured monitor value. Overlaying pollution rose diagrams with emission and monitor locations using a GIS system often reveals a wealth of additional information not obvious when looking at the data sets individually.