Average Weather on May 28 in Provideniya Russia
On May 28, the temperature in Provideniya typically ranges from 33°F to 39°F and is rarely below 28°F or above 46°F.
For reference, on July 26, the hottest day of the year, temperatures in Provideniya typically range from 45°F to 54°F, while on January 24, the coldest day of the year, they range from 0°F to 10°F.
The coolest time of the day is from 11:30 PM to 5:45 AM, with the coldest at 3:15 AM, at which time the temperature is below 36°F three days out of four, and below 38°F nine days out of ten.
The warmest time of the day is from 10:15 AM to 6:15 PM, with the hottest at 1:30 PM, at which time the temperature is above 36°F three days out of four, and above 34°F nine days out of ten.
The day has gained half its heat by 8:00 AM and lost it again by 8:45 PM.
Average Temperature on May 28
The figure below shows you a compact characterization of the range of temperatures experienced on May 28 throughout the historical record. The horizontal axis is the time of day and the colored stacked areas indicate the percentage of hours spent in various temperature bands.
Temperature Bands on May 28
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
Compared to May 28 (excluding 30 days before and after), September 27 has the most similar daily average high and low temperatures.
The average percentage of the sky covered by clouds in Provideniya on May 28 varies over the course of the day.
The cloudiest time of day is around 3:30 AM, at which time the chance of overcast or mostly cloudy conditions is 75%.
The clearest time of day is around 1:30 PM, at which time the chance of clear, mostly clear, or partly cloudy conditions is 35%.
For reference, on December 29, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 86%, while on October 2, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 40%.
Cloud Cover Categories on May 28
0% clear 20% mostly clear 40% partly cloudy 60% mostly cloudy 80% overcast 100%
On average, there is a 18% chance that more than 0.04 inches of total precipitation will fall in Provideniya throughout the day on May 28, of which 89% is expected to be rain alone, 4% to be snow alone, and 6% to be a mixture of snow and rain.
For reference, the year's highest daily chance of precipitation is 32% on August 16, and its lowest chance is 11% on March 23.
For those 18% of years with precipitation on May 28, the chart below shows when throughout the day that precipitation is more or less likely to occur, excluding hourly accumulations of less than 0.01 inches. If precipitation were equally likely throughout the day, all hours would report 4.2% (100% divided by 24 hours).
Precipitation is most likely between 11 AM and 12 PM, and least likely between 6 PM and 7 PM.
Hourly Share of Precipitation on May 28
In Provideniya on Thursday, May 28, 2020, the Sun rises at 1:31 AM and sets 20 hours, 0 minutes later, at 9:31 PM. Solar noon is at 11:30 AM.
For reference, on June 20, the longest day of the year, the Sun rises at 12:52 AM and sets 21 hours, 24 minutes later, at 10:16 PM, while on December 21, the shortest day of the year, it rises at 9:32 AM and sets 3 hours, 57 minutes later, at 1:30 PM.
Solar Elevation on May 28, 2020
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.
Muggy conditions are essentially unheard-of in Provideniya on May 28.
Humidity Comfort Levels on May 28
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 Provideniya on May 28 varies throughout the day, with a daily average of 10.3 miles per hour.
The windiest time of day is around 7:30 AM, with an average hourly wind speed of 10.9 miles per hour, mostly staying between 7.0 miles per hour and 14.2 miles per hour, and rarely falling below 4.1 miles per hour or exceeding 18.6 miles per hour.
The calmest time of day is around 10:30 PM, with an average hourly wind speed of 9.6 miles per hour, mostly staying between 5.8 miles per hour and 12.8 miles per hour, and rarely falling below 3.5 miles per hour or exceeding 16.9 miles per hour.
For reference, on December 17, the windiest day of the year, the daily average wind speed is 20.1 miles per hour, while on June 29, the calmest day of the year, the daily average wind speed is 9.4 miles per hour.
Wind Speed on May 28
Over the entire course of May 28 in Provideniya, the hourly average wind direction, in order of prevalence, is from the north (38%), east (28%), south (18%), and west (16%).
Wind Direction on May 28
Provideniya is located near a large body of water (e.g., ocean, sea, or large lake). This section reports on the wide-area average surface temperature of that water. The average surface water temperature does not change appreciably over the course of the day, so this section does not include a chart.
The average surface water temperature on May 28 in Provideniya is 33°F, mostly staying between 32°F and 34°F, and rarely falling below 31°F or exceeding 35°F.
For reference, the year's highest average is 45°F on August 11, and its lowest average is 30°F on February 18.
Shortwave Solar Power
This section discusses the incident shortwave solar power 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 peak incident shortwave solar power per square meter is 0.52 kilowatts at around 12:30 PM.
In contrast, the corresponding value on June 4, the brightest day of the year, is 0.51 kilowatts at around 11:30 AM. The corresponding value on December 21, the darkest day of the year, is 0.01 kilowatts at around 10:30 AM.
Shortwave Solar Power on May 28
For the purposes of this report, the geographical coordinates of Provideniya are 64.423 deg latitude, -173.226 deg longitude, and 69 ft elevation.
The topography within 2 miles of Provideniya contains large variations in elevation, with a maximum elevation change of 2,133 feet and an average elevation above sea level of 265 feet. Within 10 miles also contains large variations in elevation (2,661 feet). Within 50 miles contains large variations in elevation (3,901 feet).
The area within 2 miles of Provideniya is covered by water (77%) and bare soil (14%), within 10 miles by bare soil (60%) and water (37%), and within 50 miles by water (68%) and bare soil (21%).
This report illustrates the typical weather in Provideniya, 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 is only a single weather station, Buhta Providenja, in our network suitable to be used as a proxy for the historical temperature and dew point records of Provideniya.
At a distance of 5 kilometers from Provideniya, closer than our threshold of 150 kilometers, this station is deemed sufficiently nearby to be relied upon as our primary source for temperature and dew point records.
The station records are corrected for the elevation difference between the station and Provideniya according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations.
Please note that the station records themselves may additionally have been back-filled using other nearby stations or the MERRA-2 reanalysis.
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 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.