Inside the Heat Dome: Capturing the Data Behind a Landmark Week for Heat Records in the West

From July 10th to July 12th, America, fresh off its 250th birthday, experienced record setting high temperatures. These record setting conditions were fueled by a heat dome over the western United States, especially Utah, Montana and Wyoming. The result was a run of extraordinary daily high temperatures, confirmed station by station using real-time and historical data all within the Synoptic platform.

According to data from the Synoptic platform, Salt Lake City hit 109.4°F on July 12th, the hottest temperature in recorded city history.

Pulling daily maximums directly from the Salt Lake City International Airport (KSLC) weather station using Synoptic’s Statistics service shows how consistently high daytime temperatures built over several days leading up to the record setting reading on the 12th:

Date Daily high temperature (KSLC)
Jul 10 100.4°F
Jul 11 102.2°F
Jul 12 109.4°F
Jul 13 99.0°F

Through the above chart we can see that three days of escalating heat led to a sharp peak of 109.4°F, then a moderate cooldown to sub 100 degrees occurred. Looking at the historical data, the overnight numbers provide even deeper insight. The night before the record was set, KSLC’s low was only 78°F, giving temperatures a warm head start to reach the record high. Monitoring real-time and historical data allows for better insights, giving users data about trends and possible impacts.

Record high temperature of 109 degrees on a chart for KSLC weather station
KSLC daily high temperatures leading up to the July 12th record of 109.4°F, via Synoptic’s Statistics service.

The Same System, Breaking Records Across Three States

Salt Lake City wasn’t an isolated case of record high temperatures; it was one example of the extreme daily highs across three states: Montana, Wyoming, and Utah, simultaneously. Synoptic also analyzed these stations: Billings, MT (KBIL), Miles City, MT (KMLS), and Sheridan, WY (KSHR). For each record high reading, using the same Statistics query, the data confirms that the heat dome was in full effect and providing a consistent story for the areas affected:

Station Jul 10 Jul 11 Jul 12 (peak) Jul 13
Salt Lake City, UT (KSLC) 100.4°F 102.2°F 109.4°F 99.0°F
Billings, MT (KBIL) 96.8°F 104.0°F 111.2°F 98.6°F
Miles City, MT (KMLS) 100.4°F 104.0°F 114.8°F 102.2°F
Sheridan, WY (KSHR) 98.6°F 102.2°F 109.4°F 96.8°F
Line chart showing temperature at Billings Logan International Airport in Billings, Montana from July 9-13, highlighting the July 12 peak of 111.2°F.
Temperature at Billings Logan International Airport in Billings, Montana, leading up to the July 12th peak of 111.2°F.
Line chart showing temperature at Frank Wiley Field Airport in Miles City, Montana from July 9-13, highlighting the July 12 peak of 114.8°F.
Temperature at Frank Wiley Field Airport in Miles City, Montana, leading up to the July 12th peak of 114.8°F.
Line chart showing temperature at Sheridan County Airport in Sheridan, Wyoming from July 9-13, highlighting the July 12 peak of 109.4°F.
Sheridan County Airport in Sheridan, Wyoming, temperature values leading up to the July 12th peak of 109.4°F.

Looking at these four different stations, from four areas of the heat dome, they showcase a clear pattern: two days of building heat, a sharp, synchronized peak on July 12th, then a drop of nearly 10 degrees across each station. Using the Synoptic platform, pulling this data with the Statistics service took only a few easy-to-construct queries, exactly the kind of speed you need when tracking an extreme event as it’s still unfolding.

Analyzing and Acting on Real-time and Historical Observations Using the Synoptic Platform

Using the Synoptic platform to track and analyze weather phenomena, such as this heat dome, provides valuable insights for users, allowing them to take appropriate action for extreme temperatures and understand the impact weather is having on the community. The platform provides both real-time and historical data from a single source, making information available in just a few clicks or queries. The Synoptic Weather API provides fast access to critical insights for surface level conditions in any impacted region. Synoptic’s Statistics and Percentiles services go deeper: the statistics service delivers key data points like daily high and low temperatures, while percentiles show exactly how conditions like temperature, wind gusts, precipitation totals stack up for a station’s period of record.

The next extreme weather event is coming. Having the necessary real-time data and historical context allows you to not only understand what’s happening from moment to moment, but also know how observations compare to decades of history all in one place.

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