Access to good weather data is an invaluable tool in our field of work. We use it to find relationships between atmospheric conditions, operating profiles, and the resultant effect on energy usage, which in turn helps us identify opportunities for efficiency and quantify energy savings.
Lucky for us, this data is recorded by the National Oceanographic and Atmospheric Association (NOAA) weather stations and made available to the public. After downloading thousands of these datasets, we’ve noticed that records can often require a little love and attention before getting put to good use. As such, we’ve developed a tool to help automate these processes.
How Does It Work?
The E350 weather tool pulls in raw NOAA weather data records and makes the following adjustments as needed:
- Align data into consistent one-hour time intervals
- Populating missing data points
- Calculated Wet Bulb Temperature using Dry Bulb Temperature and Relative Humidity
- Calculated HDDs and CDDs using a range of base temperatures from 55 to 65
- Hourly Data Conversion to Daily Averages
Although we feel confident in our tool, we encourage an additional quality check for each individual dataset. To make this easier, we’ve included a “QC Summary” located at the top of each report output that details the percentage of estimated data points and a description of how they were calculated. We’ve also noticed that the reliability of NOAA data is highest at the largest airports. With this in mind, we recommend considering using data from the nearest major airport, avoiding small municipal airports when possible.