Average Weather in April in Vienna West Virginia, United States
Daily high temperatures increase by 10°F, from 61°F to 70°F, rarely falling below 45°F or exceeding 82°F.
Daily low temperatures increase by 8°F, from 40°F to 48°F, rarely falling below 28°F or exceeding 60°F.
For reference, on July 21, the hottest day of the year, temperatures in Vienna typically range from 66°F to 85°F, while on January 30, the coldest day of the year, they range from 24°F to 40°F.
Average High and Low Temperature in April
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on April. 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 April
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 April in Vienna experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 52% throughout the month.
The clearest day of the month is April 26, with clear, mostly clear, or partly cloudy conditions 50% of the time.
For reference, on January 11, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 65%, while on September 8, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 67%.
Cloud Cover Categories in April
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 Vienna, the chance of a wet day over the course of April is gradually increasing, starting the month at 33% and ending it at 36%.
For reference, the year's highest daily chance of a wet day is 41% on July 13, and its lowest chance is 23% on January 28.
Probability of Precipitation in April
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 April in Vienna is gradually increasing, starting the month at 2.9 inches, when it rarely exceeds 4.4 inches or falls below 1.6 inches, and ending the month at 3.3 inches, when it rarely exceeds 5.6 inches or falls below 1.5 inches.
Average Monthly Rainfall in April
Over the course of April in Vienna, the length of the day is rapidly increasing. From the start to the end of the month, the length of the day increases by 1 hour, 10 minutes, implying an average daily increase of 2 minutes, 26 seconds, and weekly increase of 17 minutes, 0 seconds.
The shortest day of the month is April 1, with 12 hours, 39 minutes of daylight and the longest day is April 30, with 13 hours, 49 minutes of daylight.
Hours of Daylight and Twilight in April
The latest sunrise of the month in Vienna is 7:10 AM on April 1 and the earliest sunrise is 42 minutes earlier at 6:29 AM on April 30.
The earliest sunset is 7:49 PM on April 1 and the latest sunset is 29 minutes later at 8:18 PM on April 30.
Daylight saving time is observed in Vienna during 2019, but it neither starts nor ends during April, so the entire month is in daylight saving time.
For reference, on June 21, the longest day of the year, the Sun rises at 5:59 AM and sets 14 hours, 57 minutes later, at 8:56 PM, while on December 22, the shortest day of the year, it rises at 7:42 AM and sets 9 hours, 24 minutes later, at 5:06 PM.
Sunrise & Sunset with Twilight and Daylight Saving Time in April
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 Vienna is essentially constant during April, remaining around 0% throughout.
For reference, on July 20, the muggiest day of the year, there are muggy conditions 54% of the time, while on November 21, the least muggy day of the year, there are muggy conditions 0% of the time.
Humidity Comfort Levels in April
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 Vienna is gradually decreasing during April, decreasing from 5.3 miles per hour to 4.4 miles per hour over the course of the month.
For reference, on February 25, the windiest day of the year, the daily average wind speed is 5.8 miles per hour, while on August 1, the calmest day of the year, the daily average wind speed is 3.0 miles per hour.
Average Wind Speed in April
Wind Direction in April
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 Vienna typically lasts for 6.1 months (185 days), from around April 19 to around October 21, rarely starting before April 2 or after May 8, and rarely ending before October 4 or after November 9.
During April in Vienna, the chance that a given day is within the growing season is very rapidly increasing rising from 8% to 78% over the course of the month.
Time Spent in Various Temperature Bands and the Growing Season in April
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
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 Vienna are increasing during April, increasing by 219°F, from 134°F to 353°F, over the course of the month.
Growing Degree Days in April
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 Vienna is increasing during April, rising by 1.0 kWh, from 4.7 kWh to 5.8 kWh, over the course of the month.
Average Daily Incident Shortwave Solar Energy in April
For the purposes of this report, the geographical coordinates of Vienna are 39.327 deg latitude, -81.548 deg longitude, and 725 ft elevation.
The topography within 2 miles of Vienna contains only modest variations in elevation, with a maximum elevation change of 394 feet and an average elevation above sea level of 693 feet. Within 10 miles contains only modest variations in elevation (499 feet). Within 50 miles contains significant variations in elevation (971 feet).
The area within 2 miles of Vienna is covered by artificial surfaces (47%), trees (37%), and water (13%), within 10 miles by trees (65%) and artificial surfaces (17%), and within 50 miles by trees (86%) and cropland (11%).
This report illustrates the typical weather in Vienna 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 5 weather stations near enough to contribute to our estimation of the temperature and dew point in Vienna.
For each station, the records are corrected for the elevation difference between that station and Vienna 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 Vienna is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Vienna and a given station.
The stations contributing to this reconstruction are: Wood County Airport (52%, 28 kilometers, southeast); Ohio University Airport-Snyder Field (16%, 60 kilometers, west); Mason County Airport (14%, 66 kilometers, southwest); Zanesville Municipal Airport (12%, 75 kilometers, northwest); and Wheeling Ohio County Airport (6%, 122 kilometers, northeast).
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.