Average Weather in May in Oracle Arizona, United States
Daily high temperatures increase by 9°F, from 80°F to 89°F, rarely falling below 71°F or exceeding 96°F.
Daily low temperatures increase by 9°F, from 50°F to 59°F, rarely falling below 42°F or exceeding 66°F.
For reference, on June 29, the hottest day of the year, temperatures in Oracle typically range from 68°F to 95°F, while on January 4, the coldest day of the year, they range from 33°F to 56°F.
Average High and Low Temperature in May
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on May. 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 May
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 month of May in Oracle experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 21% throughout the month.
The clearest day of the month is May 31, with clear, mostly clear, or partly cloudy conditions 81% of the time.
For reference, on July 30, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 43%, while on June 13, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 85%.
Cloud Cover Categories in May
0% clear 20% mostly clear 40% partly cloudy 60% mostly cloudy 80% overcast 100%
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In Oracle, the chance of a wet day over the course of May is essentially constant, remaining around 3% throughout.
For reference, the year's highest daily chance of a wet day is 37% on August 4, and its lowest chance is 3% on June 10.
Probability of Precipitation in May
To show variation within the month and not just the monthly total, we show the rainfall accumulated over a sliding 31-day period centered around each day.
The average sliding 31-day rainfall during May in Oracle is essentially constant, remaining about 0.2 inches throughout, and rarely exceeding 0.6 inches or falling below -0.0 inches.
Average Monthly Rainfall in May
Over the course of May in Oracle, the length of the day is increasing. From the start to the end of the month, the length of the day increases by 40 minutes, implying an average daily increase of 1 minute, 21 seconds, and weekly increase of 9 minutes, 26 seconds.
The shortest day of the month is May 1, with 13 hours, 28 minutes of daylight and the longest day is May 31, with 14 hours, 9 minutes of daylight.
Hours of Daylight and Twilight in May
The latest sunrise of the month in Oracle is 5:36 AM on May 1 and the earliest sunrise is 20 minutes earlier at 5:16 AM on May 31.
The earliest sunset is 7:04 PM on May 1 and the latest sunset is 21 minutes later at 7:25 PM on May 31.
Daylight saving time is not observed in Oracle during 2019.
For reference, on June 21, the longest day of the year, the Sun rises at 5:15 AM and sets 14 hours, 18 minutes later, at 7:33 PM, while on December 22, the shortest day of the year, it rises at 7:21 AM and sets 10 hours, 0 minutes later, at 5:21 PM.
Sunrise & Sunset with Twilight in May
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 Oracle is essentially constant during May, remaining around 0% throughout.
For reference, on August 5, the muggiest day of the year, there are muggy conditions 7% of the time, while on January 1, the least muggy day of the year, there are muggy conditions 0% of the time.
Humidity Comfort Levels in May
dry 55°F comfortable 60°F humid 65°F muggy 70°F oppressive 75°F miserable
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 Oracle is essentially constant during May, remaining within 0.2 miles per hour of 8.1 miles per hour throughout.
For reference, on April 22, the windiest day of the year, the daily average wind speed is 8.4 miles per hour, while on August 12, the calmest day of the year, the daily average wind speed is 5.4 miles per hour.
Average Wind Speed in May
Wind Direction in May
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 Oracle typically lasts for 8.1 months (248 days), from around March 14 to around November 17, rarely starting before February 20 or after April 16, and rarely ending before October 28 or after December 6.
The month of May in Oracle is reliably fully within the growing season.
Time Spent in Various Temperature Bands and the Growing Season in May
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 Oracle are rapidly increasing during May, increasing by 594°F, from 721°F to 1,316°F, over the course of the month.
Growing Degree Days in May
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 Oracle is gradually increasing during May, rising by 0.6 kWh, from 7.9 kWh to 8.5 kWh, over the course of the month.
Average Daily Incident Shortwave Solar Energy in May
For the purposes of this report, the geographical coordinates of Oracle are 32.611 deg latitude, -110.771 deg longitude, and 4,318 ft elevation.
The topography within 2 miles of Oracle contains very significant variations in elevation, with a maximum elevation change of 1,096 feet and an average elevation above sea level of 4,495 feet. Within 10 miles contains very significant variations in elevation (5,098 feet). Within 50 miles also contains extreme variations in elevation (8,560 feet).
The area within 2 miles of Oracle is covered by shrubs (77%) and grassland (23%), within 10 miles by shrubs (86%) and grassland (12%), and within 50 miles by shrubs (89%).
This report illustrates the typical weather in Oracle year round, 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 Oracle.
For each station, the records are corrected for the elevation difference between that station and Oracle 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 Oracle is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Oracle and a given station.
The stations contributing to this reconstruction are: Allied Airstrip (54%, 51 kilometers, south); Casa Grande Municipal Airport (21%, 101 kilometers, west); and Safford Municipal Airport (26%, 110 kilometers, east).
All data relating to the Sun's position (e.g., sunrise and sunset) are computed using astronomical formulas from the book, Astronomical Tables of the Sun, Moon and Planets , 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 aiports and weather stations are provided by AskGeo.com .
Maps are © Esri, with data from National Geographic, Esri, DeLorme, NAVTEQ, UNEP-WCMC, USGS, NASA, ESA, METI, NRCAN, GEBCO, NOAA, and iPC.
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.