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Spring Weather in Pittsburgh Pennsylvania, United States

Daily high temperatures increase by 31°F, from 46°F to 76°F, rarely falling below 31°F or exceeding 86°F.

Daily low temperatures increase by 28°F, from 30°F to 58°F, rarely falling below 15°F or exceeding 67°F.

For reference, on July 19, the hottest day of the year, temperatures in Pittsburgh typically range from 66°F to 83°F, while on January 29, the coldest day of the year, they range from 23°F to 37°F.

Average High and Low Temperature in the Spring in Pittsburgh

Average High and Low Temperature in the Spring in PittsburghMarAprMay10°F10°F20°F20°F30°F30°F40°F40°F50°F50°F60°F60°F70°F70°F80°F80°F90°F90°FWinterSummerMar 146°FMar 146°F30°F30°FMay 3176°FMay 3176°F58°F58°FApr 158°FApr 158°F39°F39°FMay 168°FMay 168°F49°F49°F
The daily average high (red line) and low (blue line) temperature, with 25th to 75th and 10th to 90th percentile bands. The thin dotted lines are the corresponding average perceived temperatures.

The figure below shows you a compact characterization of the hourly average spring temperatures. The horizontal axis is the day, the vertical axis is the hour of the day, and the color is the average temperature for that hour and day.

Average Hourly Temperature in the Spring in Pittsburgh

Average Hourly Temperature in the Spring in PittsburghMarAprMay12 AM12 AM2 AM2 AM4 AM4 AM6 AM6 AM8 AM8 AM10 AM10 AM12 PM12 PM2 PM2 PM4 PM4 PM6 PM6 PM8 PM8 PM10 PM10 PM12 AM12 AMWinterSummerfreezingvery coldcoldcoolcomfortablecomfortablewarmfreezing
frigid 15°F freezing 32°F very cold 45°F cold 55°F cool 65°F comfortable 75°F warm 85°F hot 95°F sweltering
The average hourly temperature, color coded into bands. The shaded overlays indicate night and civil twilight.

Tulcea, Romania (5,071 miles away); Krasnodar, Russia (5,433 miles); and Urus-Martan, Russia (5,746 miles) are the far-away foreign places with temperatures most similar to Pittsburgh (view comparison).

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The spring in Pittsburgh experiences decreasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy decreasing from 62% to 51%.

The clearest day of the spring is May 31, with clear, mostly clear, or partly cloudy conditions 49% of the time.

For reference, on January 12, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 69%, while on August 26, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 65%.

Cloud Cover Categories in the Spring in Pittsburgh

Cloud Cover Categories in the Spring in PittsburghMarAprMay0%100%10%90%20%80%30%70%40%60%50%50%60%40%70%30%80%20%90%10%100%0%WinterSummerMar 138%Mar 138%May 3149%May 3149%Apr 144%Apr 144%May 148%May 148%clearmostly clearpartly cloudyovercast
0% clear 20% mostly clear 40% partly cloudy 60% mostly cloudy 80% overcast 100%
The percentage of time spent in each cloud cover band, categorized by the percentage of the sky covered by clouds.

A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In Pittsburgh, the chance of a wet day over the course of the spring is very rapidly increasing, starting the season at 27% and ending it at 39%.

For reference, the year's highest daily chance of a wet day is 41% on June 15, and its lowest chance is 20% on January 30.

Over the course of the spring in Pittsburgh, the chance of a day with only rain increases from 21% to 39%, the chance of a day with mixed snow and rain decreases from 4% to 0%, and the chance of a day with only snow decreases from 3% to 0%.

Probability of Precipitation in the Spring in Pittsburgh

Probability of Precipitation in the Spring in PittsburghMarAprMay0%0%5%5%10%10%15%15%20%20%25%25%30%30%35%35%40%40%45%45%WinterSummerMar 127%Mar 127%May 3139%May 3139%Apr 133%Apr 133%May 134%May 134%snowmixedrain
The percentage of days in which various types of precipitation are observed, excluding trace quantities: rain alone, snow alone, and mixed (both rain and snow fell in the same day).

Rainfall

To show variation within the season and not just the monthly totals, we show the rainfall accumulated over a sliding 31-day period centered around each day.

The average sliding 31-day rainfall during the spring in Pittsburgh is rapidly increasing, starting the season at 1.9 inches, when it rarely exceeds 3.2 inches or falls below 0.8 inches, and ending the season at 3.4 inches, when it rarely exceeds 5.1 inches or falls below 1.7 inches.

Average Monthly Rainfall in the Spring in Pittsburgh

Average Monthly Rainfall in the Spring in PittsburghMarAprMay0 in0 in1 in1 in2 in2 in3 in3 in4 in4 in5 in5 inWinterSummerMar 11.9 inMar 11.9 inMay 313.4 inMay 313.4 inApr 12.6 inApr 12.6 inMay 12.9 inMay 12.9 in
The average rainfall (solid line) accumulated over the course of a sliding 31-day period centered on the day in question, with 25th to 75th and 10th to 90th percentile bands. The thin dotted line is the corresponding average snowfall.

Snowfall

As with rainfall, we consider the snowfall accumulated over a sliding 31-day period centered around each day.

The average sliding 31-day snowfall during the spring in Pittsburgh is rapidly decreasing, starting the season at 3.0 inches, when it rarely exceeds 8.2 inches or falls below -0.0 inches, and ending the season at 0.0 inches, when it rarely exceeds -0.0 inches or falls below -0.0 inches.

Average Monthly Snowfall in the Spring in Pittsburgh

Average Monthly Snowfall in the Spring in PittsburghMarAprMay0 in0 in1 in1 in2 in2 in3 in3 in4 in4 in5 in5 in6 in6 in7 in7 in8 in8 in9 in9 inWinterSummerMar 13.0 inMar 13.0 inMay 310.0 inMay 310.0 inApr 10.6 inApr 10.6 inMay 10.0 inMay 10.0 in
The average snowfall (solid line) accumulated over the course of a sliding 31-day period centered on the day in question, with 25th to 75th and 10th to 90th percentile bands. The thin dotted line is the corresponding average rainfall.

Over the course of the spring in Pittsburgh, the length of the day is very rapidly increasing. From the start to the end of the season, the length of the day increases by 3 hours, 33 minutes, implying an average daily increase of 2 minutes, 20 seconds, and weekly increase of 16 minutes, 21 seconds.

The shortest day of the spring is March 1, with 11 hours, 19 minutes of daylight and the longest day is May 31, with 14 hours, 52 minutes of daylight.

Hours of Daylight and Twilight in the Spring in Pittsburgh

Hours of Daylight and Twilight in the Spring in PittsburghMarAprMay0 hr24 hr4 hr20 hr8 hr16 hr12 hr12 hr16 hr8 hr20 hr4 hr24 hr0 hrWinterSummerMar 1912 hr, 8 minMar 1912 hr, 8 minnightnightdaydayMay 3114 hr, 52 minMay 3114 hr, 52 minMay 113 hr, 58 minMay 113 hr, 58 min
The number of hours during which the Sun is visible (black line). From bottom (most yellow) to top (most gray), the color bands indicate: full daylight, twilight (civil, nautical, and astronomical), and full night.

The latest sunrise of the spring in Pittsburgh is 7:38 AM on March 10 and the earliest sunrise is 1 hour, 47 minutes earlier at 5:52 AM on May 31.

The earliest sunset is 6:12 PM on March 1 and the latest sunset is 2 hours, 32 minutes later at 8:43 PM on May 31.

Daylight saving time (DST) ends at 3:00 AM on March 10, 2024, shifting sunrise and sunset to be an hour earlier.

For reference, on June 20, the longest day of the year, the Sun rises at 5:49 AM and sets 15 hours, 4 minutes later, at 8:53 PM, while on December 21, the shortest day of the year, it rises at 7:39 AM and sets 9 hours, 17 minutes later, at 4:56 PM.

Sunrise & Sunset with Twilight and Daylight Saving Time in the Spring in Pittsburgh

Sunrise & Sunset with Twilight and Daylight Saving Time in the Spring in PittsburghMarAprMay2 AM4 AM6 AM8 AM10 AM12 PM2 PM4 PM6 PM8 PM10 PM12 AMWinterSummer5:52 AM5:52 AMMay 318:43 PMMay 318:43 PM6:52 AM6:52 AMMar 16:12 PMMar 16:12 PM7:02 AM7:02 AMApr 17:45 PMApr 17:45 PM6:18 AM6:18 AMMay 18:16 PMMay 18:16 PMMar 10DSTMar 10DSTSolarMidnightSolarMidnightSolarNoonSunriseSunset
The solar day in the spring. From bottom to top, the black lines are the previous solar midnight, sunrise, solar noon, sunset, and the next solar midnight. The day, twilights (civil, nautical, and astronomical), and night are indicated by the color bands from yellow to gray. The transitions to and from daylight saving time are indicated by the 'DST' labels.

The figure below presents a compact representation of the sun's elevation (the angle of the sun above the horizon) and azimuth (its compass bearing) for every hour of every day in the reporting period. The horizontal axis is the day of the year and the vertical axis is the hour of the day. For a given day and hour of that day, the background color indicates the azimuth of the sun at that moment. The black isolines are contours of constant solar elevation.

Solar Elevation and Azimuth in the Spring in Pittsburgh

Solar Elevation and Azimuth in the Spring in PittsburghMarAprMay12 AM12 AM2 AM2 AM4 AM4 AM6 AM6 AM8 AM8 AM10 AM10 AM12 PM12 PM2 PM2 PM4 PM4 PM6 PM6 PM8 PM8 PM10 PM10 PM12 AM12 AMWinterSummer0010203030405060010102030405060
northeastsouthwest
Solar elevation and azimuth in the the spring of 2024. The black lines are lines of constant solar elevation (the angle of the sun above the horizon, in degrees). The background color fills indicate the azimuth (the compass bearing) of the sun. The lightly tinted areas at the boundaries of the cardinal compass points indicate the implied intermediate directions (northeast, southeast, southwest, and northwest).

The figure below presents a compact representation of key lunar data for the spring of 2024. The horizontal axis is the day, the vertical axis is the hour of the day, and the colored areas indicate when the moon is above the horizon. The vertical gray bars (new Moons) and blue bars (full Moons) indicate key Moon phases. The label associated with each bar indicates the date and time that the phase is obtained, and the companion time labels indicate the rise and set times of the Moon for the nearest time interval in which the moon is above the horizon.

Moon Rise, Set & Phases in the Spring in Pittsburgh

Moon Rise, Set & Phases in the Spring in PittsburghMarAprMay12 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMWinterSummerFeb 96:00 PMFeb 96:00 PMFeb 247:31 AMFeb 247:31 AMMar 105:01 AMMar 105:01 AMMar 253:01 AMMar 253:01 AMApr 82:22 PMApr 82:22 PMApr 237:50 PMApr 237:50 PMMay 711:23 PMMay 711:23 PMMay 239:54 AMMay 239:54 AMJun 68:38 AMJun 68:38 AMJun 219:09 PMJun 219:09 PM7:31 AM7:31 AM5:31 PM5:31 PM5:19 PM5:19 PM7:22 AM7:22 AM7:57 AM7:57 AM8:00 PM8:00 PM7:12 PM7:12 PM7:26 AM7:26 AM6:45 AM6:45 AM8:06 PM8:06 PM8:07 PM8:07 PM6:35 AM6:35 AM8:15 PM8:15 PM8:07 PM8:07 PM5:35 AM5:35 AM5:26 AM5:26 AM9:35 PM9:35 PM9:11 PM9:11 PM5:54 AM5:54 AM
The time in which the moon is above the horizon (light blue area), with new moons (dark gray lines) and full moons (blue lines) indicated. The shaded overlays indicate night and civil twilight.

We base the humidity comfort level on the dew point, as it determines whether perspiration will evaporate from the skin, thereby cooling the body. Lower dew points feel drier and higher dew points feel more humid. Unlike temperature, which typically varies significantly between night and day, dew point tends to change more slowly, so while the temperature may drop at night, a muggy day is typically followed by a muggy night.

The chance that a given day will be muggy in Pittsburgh is rapidly increasing during the spring, rising from 0% to 11% over the course of the season.

For reference, on July 28, the muggiest day of the year, there are muggy conditions 40% of the time, while on November 5, the least muggy day of the year, there are muggy conditions 0% of the time.

Humidity Comfort Levels in the Spring in Pittsburgh

Humidity Comfort Levels in the Spring in PittsburghMarAprMay0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%WinterSummerMar 10%Mar 10%May 3111%May 3111%Apr 10%Apr 10%May 10%May 10%muggymuggyhumidhumiddrydrycomfortablecomfortableoppressiveoppressive
dry 55°F comfortable 60°F humid 65°F muggy 70°F oppressive 75°F miserable
The percentage of time spent at various humidity comfort levels, categorized by dew point.

This section discusses the wide-area hourly average wind vector (speed and direction) at 10 meters above the ground. The wind experienced at any given location is highly dependent on local topography and other factors, and instantaneous wind speed and direction vary more widely than hourly averages.

The average hourly wind speed in Pittsburgh is rapidly decreasing during the spring, decreasing from 6.4 miles per hour to 4.0 miles per hour over the course of the season.

For reference, on February 2, the windiest day of the year, the daily average wind speed is 6.5 miles per hour, while on August 3, the calmest day of the year, the daily average wind speed is 3.4 miles per hour.

Average Wind Speed in the Spring in Pittsburgh

Average Wind Speed in the Spring in PittsburghMarAprMay0 mph0 mph2 mph2 mph4 mph4 mph6 mph6 mph8 mph8 mph10 mph10 mphWinterSummerMar 16.4 mphMar 16.4 mphMay 314.0 mphMay 314.0 mphApr 15.8 mphApr 15.8 mphMay 14.8 mphMay 14.8 mph
The average of mean hourly wind speeds (dark gray line), with 25th to 75th and 10th to 90th percentile bands.

The hourly average wind direction in Pittsburgh throughout the spring is predominantly from the west, with a peak proportion of 42% on March 1.

Wind Direction in the Spring in Pittsburgh

Wind Direction in the Spring in PittsburghMarAprMay0%100%20%80%40%60%60%40%80%20%100%0%WinterSummerwestsouthnortheast
northeastsouthwest
The percentage of hours in which the mean wind direction is from each of the four cardinal wind directions, excluding hours in which the mean wind speed is less than 1.0 mph. The lightly tinted areas at the boundaries are the percentage of hours spent in the implied intermediate directions (northeast, southeast, southwest, and northwest).

Definitions of the growing season vary throughout the world, but for the purposes of this report, we define it as the longest continuous period of non-freezing temperatures (≥ 32°F) in the year (the calendar year in the Northern Hemisphere, or from July 1 until June 30 in the Southern Hemisphere).

The growing season in Pittsburgh typically lasts for 6.5 months (200 days), from around April 12 to around October 29, rarely starting before March 26 or after April 29, and rarely ending before October 11 or after November 14.

During the spring in Pittsburgh, the chance that a given day is within the growing season is very rapidly increasing rising from 0% to 100% over the course of the season.

Time Spent in Various Temperature Bands and the Growing Season in the Spring in Pittsburgh

Time Spent in Various Temperature Bands and the Growing Season in the Spring in Pittsburghgrowing seasonMarAprMay0%100%10%90%20%80%30%70%40%60%50%50%60%40%70%30%80%20%90%10%100%0%WinterSummerMar 10%Mar 10%100%May 31100%May 31Apr 121%Apr 121%92%May 192%May 1frigidfreezingvery coldcoldcoolcomfortablewarmhot
frigid 15°F freezing 32°F very cold 45°F cold 55°F cool 65°F comfortable 75°F warm 85°F hot 95°F sweltering
The percentage of time spent in various temperature bands. The black line is the percentage chance that a given day is within the growing season.

Growing degree days are a measure of yearly heat accumulation used to predict plant and animal development, and defined as the integral of warmth above a base temperature, discarding any excess above a maximum temperature. In this report, we use a base of 50°F and a cap of 86°F.

The average accumulated growing degree days in Pittsburgh are rapidly increasing during the spring, increasing by 662°F, from 28°F to 690°F, over the course of the season.

Growing Degree Days in the Spring in Pittsburgh

Growing Degree Days in the Spring in PittsburghMarAprMay100°F100°F200°F200°F300°F300°F400°F400°F500°F500°F600°F600°F700°F700°F800°F800°FWinterSummerMar 128°FMar 128°FMay 31690°FMay 31690°FApr 1102°FApr 1102°FMay 1303°FMay 1303°F
The average growing degree days accumulated over the course of the spring, with 25th to 75th and 10th to 90th percentile bands.

This section discusses the total daily incident shortwave solar energy reaching the surface of the ground over a wide area, taking full account of seasonal variations in the length of the day, the elevation of the Sun above the horizon, and absorption by clouds and other atmospheric constituents. Shortwave radiation includes visible light and ultraviolet radiation.

The average daily incident shortwave solar energy in Pittsburgh is very rapidly increasing during the spring, rising by 3.2 kWh, from 3.3 kWh to 6.4 kWh, over the course of the season.

Average Daily Incident Shortwave Solar Energy in the Spring in Pittsburgh

Average Daily Incident Shortwave Solar Energy in the Spring in PittsburghMarAprMay0 kWh0 kWh1 kWh1 kWh2 kWh2 kWh3 kWh3 kWh4 kWh4 kWh5 kWh5 kWh6 kWh6 kWh7 kWh7 kWh8 kWh8 kWh9 kWh9 kWhWinterSummerMar 13.3 kWhMar 13.3 kWhMay 316.4 kWhMay 316.4 kWhApr 14.7 kWhApr 14.7 kWhMay 15.8 kWhMay 15.8 kWh
The average daily shortwave solar energy reaching the ground per square meter (orange line), with 25th to 75th and 10th to 90th percentile bands.

For the purposes of this report, the geographical coordinates of Pittsburgh are 40.441 deg latitude, -79.996 deg longitude, and 758 ft elevation.

The topography within 2 miles of Pittsburgh contains significant variations in elevation, with a maximum elevation change of 535 feet and an average elevation above sea level of 887 feet. Within 10 miles also contains significant variations in elevation (663 feet). Within 50 miles contains significant variations in elevation (2,365 feet).

The area within 2 miles of Pittsburgh is covered by artificial surfaces (97%), within 10 miles by artificial surfaces (79%) and trees (18%), and within 50 miles by trees (63%) and cropland (23%).

This report illustrates the typical weather in Pittsburgh, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.

Temperature and Dew Point

There are 3 weather stations near enough to contribute to our estimation of the temperature and dew point in Pittsburgh.

For each station, the records are corrected for the elevation difference between that station and Pittsburgh according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations.

The estimated value at Pittsburgh is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Pittsburgh and a given station.

The stations contributing to this reconstruction are:

To get a sense of how much these sources agree with each other, you can view a comparison of Pittsburgh and the stations that contribute to our estimates of its temperature history and climate. Please note that each source's contribution is adjusted for elevation and the relative change present in the MERRA-2 data.

Other Data

All data relating to the Sun's position (e.g., sunrise and sunset) are computed using astronomical formulas from the book, Astronomical Algorithms 2nd Edition , by Jean Meeus.

All other weather data, including cloud cover, precipitation, wind speed and direction, and solar flux, come from NASA's MERRA-2 Modern-Era Retrospective Analysis . This reanalysis combines a variety of wide-area measurements in a state-of-the-art global meteorological model to reconstruct the hourly history of weather throughout the world on a 50-kilometer grid.

Land Use data comes from the Global Land Cover SHARE database , published by the Food and Agriculture Organization of the United Nations.

Elevation data comes from the Shuttle Radar Topography Mission (SRTM) , published by NASA's Jet Propulsion Laboratory.

Names, locations, and time zones of places and some airports come from the GeoNames Geographical Database .

Time zones for airports and weather stations are provided by AskGeo.com .

Maps are © OpenStreetMap contributors.

Disclaimer

The information on this site is provided as is, without any assurances as to its accuracy or suitability for any purpose. Weather data is prone to errors, outages, and other defects. We assume no responsibility for any decisions made on the basis of the content presented on this site.

We draw particular cautious attention to our reliance on the MERRA-2 model-based reconstructions for a number of important data series. While having the tremendous advantages of temporal and spatial completeness, these reconstructions: (1) are based on computer models that may have model-based errors, (2) are coarsely sampled on a 50 km grid and are therefore unable to reconstruct the local variations of many microclimates, and (3) have particular difficulty with the weather in some coastal areas, especially small islands.

We further caution that our travel scores are only as good as the data that underpin them, that weather conditions at any given location and time are unpredictable and variable, and that the definition of the scores reflects a particular set of preferences that may not agree with those of any particular reader.

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