BREEZE Software, Data and Services / Trinity Consultants

- Meteorological Data Analysis and Visualization Tool

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BREEZE MetView is a powerful data analysis tool, capable of displaying a wide range of meteorological data formats. BREEZE MetView allows users to create fully customizable data tables and graphics to evaluate meteorological conditions at specific time intervals. Each display mode allows the user to extrapolate important correlations between several meteorological variables, or even view pollution concentrations against specific meteorological conditions.

Key Features

  • Customize graphs of several meteorological variables, including wind speed, wind direction, temperature, sensible heat flux, and precipitation
  • Analyze raw and model-ready meteorological data in easy-to-read tables
  • Copy data to Microsoft Excel for additional analyzing
  • Create graphical wind roses with corresponding tabular data

BREEZE MetView contains several features that allow users to view, edit, and correlate specific meteorological conditions to specific hours of high concentrations. Wind rose plots and tabular data allow users to fully analyze all necessary meteorological variables in a data set.

Visualizations

  • Customize graphs of several meteorological variables, including wind speed, wind direction, temperature, sensible heat flux, and precipitation
  • Analyze raw and model-ready meteorological data in easy-to-read tables
  • Copy data to Microsoft Excel for additional analyzing

Data Rose

  • Analyze prevailing winds over customized time period
  • Explain relationships between meteorological data and specific concentrations with graphical tools

Tabular Data Analysis

  • Create graphical wind roses with corresponding tabular data
  • Identify missing hours in meteorological data files automatically
  • Choose specific variables to create custom data tables
  • Modify data within the Data Table View
  • Link graphical plots with the associated raw data tables

Append Data

  • Compare multiple files from the same period
  • Compare variables from two datasets

Data Rose

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.

BREEZE MetView allows you to view wind roses for a wide range of raw and model-ready meteorological data formats. Customize everything about the wind rose plot from the date range to wind speed categories.

Customization Options

Users can customize everything about the wind rose plot from the date range (which comes preloaded with seasonal and monthly options), how many sectors to display, what wind speed categories to use, as well as the size and placement of accompanying legends. Even the color scheme can be changed with the click of a mouse.

Custom Data Rose Plots

MetView is not limited to wind roses -- users can now create custom data rose plots to display any variable within a meteorological data file against wind direction.

Time Series Plot

MetView also contains a powerful time series plot for data. Users can select which meteorological variables and date range they want to view to create detailed graphs of meteorological data over time. The picture to the right shows a custom data plot created from AERMOD-ready meteorological data.

Tabular Data Analysis

Most meteorological data formats are difficult to decipher. BREEZE MetView removes the guesswork with data tables for every plot, including convenient titles and units for each variable.

Data Table Display

BREEZE MetView produces data tables for every data plot. The Data Table display shows your meteorological data file in an easy-to-read table with header information to easily analyze all meteorological variables. All tables can be exported to Microsoft Excel for further analysis.

Tabular Features

MetView offers several tabular features to help you decipher your meteorological data files:

  • Identify missing hours automatically with the Data Table display
  • Create custom tables with the MetView control panel to turn variables on and off
  • Make modifications to the data within the Data Table view. When data is saved, MetView will ensure it's in the proper text format for the meteorological data format you are using.

Wind Rose and Data Rose Tables

The tables in BREEZE MetView are linked to the wind rose and data rose plots. The options you choose for the plots will be linked to the associated tables so the raw data used to create the plot can be easily verified.

Append Data

With the Append function, users can compare multiple files from the same period. It's easier than ever to compare variables from two datasets. Click to enlarge the image to the right which shows variables from two AERMOD-ready meteorological datasets being compared side-by-side.

Hardware
  • Intel or AMD processor, 32 or 64 bit. 500-megahertz (Mhz) or higher
  • 256 megabytes (MB) RAM, 512 MB RAM recommended
  • 100 (MB) available disk space for the application install. Meteorological data files may require significantly more
  • 1024 x 768 minimum display resolution
  • Mouse or other pointing device
Software
  • Windows 10, Windows 8, Windows 7, Windows Vista, Windows Server 2003, Windows Server 2008 or Windows Server 2012
  • Microsoft .NET Framework 2.0 or later
Additional Requirements
  • Raw meteorological data for surface, upper air and/or onsite data sets or model-ready meteorological data

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