Average Weather in January in Ash Shafā Saudi Arabia
Daily high temperatures are around 63°F, rarely falling below 57°F or exceeding 70°F. The lowest daily average high temperature is 63°F on January 17.
Daily low temperatures are around 43°F, rarely falling below 37°F or exceeding 49°F. The lowest daily average low temperature is 43°F on January 13.
For reference, on June 18, the hottest day of the year, temperatures in Ash Shafā typically range from 66°F to 87°F, while on January 13, the coldest day of the year, they range from 43°F to 63°F.
Average High and Low Temperature in January
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on January. 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 January
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 January in Ash Shafā experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 19% throughout the month. The lowest chance of overcast or mostly cloudy conditions is 18% on January 26.
The clearest day of the month is January 26, with clear, mostly clear, or partly cloudy conditions 82% of the time.
For reference, on October 1, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 46%, while on November 13, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 84%.
Cloud Cover Categories in January
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 Ash Shafā, the chance of a wet day over the course of January is essentially constant, remaining around 2% throughout.
For reference, the year's highest daily chance of a wet day is 4% on May 6, and its lowest chance is 1% on September 26.
Probability of Precipitation in January
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 January in Ash Shafā is essentially constant, remaining about 0.1 inches throughout, and rarely exceeding 0.5 inches.
Average Monthly Rainfall in January
Over the course of January in Ash Shafā, the length of the day is gradually increasing. From the start to the end of the month, the length of the day increases by 19 minutes, implying an average daily increase of 39 seconds, and weekly increase of 4 minutes, 31 seconds.
The shortest day of the month is January 1, with 10 hours, 53 minutes of daylight and the longest day is January 31, with 11 hours, 12 minutes of daylight.
Hours of Daylight and Twilight in January
The earliest sunrise of the month in Ash Shafā is 6:55 AM on January 1 and the latest sunrise is 2 minutes, 40 seconds later at 6:58 AM on January 16.
The earliest sunset is 5:48 PM on January 1 and the latest sunset is 20 minutes later at 6:08 PM on January 31.
Daylight saving time is not observed in Ash Shafā during 2019.
For reference, on June 21, the longest day of the year, the Sun rises at 5:37 AM and sets 13 hours, 25 minutes later, at 7:02 PM, while on December 22, the shortest day of the year, it rises at 6:51 AM and sets 10 hours, 51 minutes later, at 5:42 PM.
Sunrise & Sunset with Twilight in January
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 Ash Shafā is essentially constant during January, remaining around 0% throughout.
For reference, on August 21, the muggiest day of the year, there are muggy conditions 1% 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 January
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 Ash Shafā is essentially constant during January, remaining within 0.2 miles per hour of 7.6 miles per hour throughout.
For reference, on July 15, the windiest day of the year, the daily average wind speed is 9.3 miles per hour, while on September 25, the calmest day of the year, the daily average wind speed is 6.7 miles per hour.
Average Wind Speed in January
Wind Direction in January
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).
While it does not do so every year, freezing temperatures are seen in Ash Shafā over some winters. The day least likely to be in the growing season is January 15, with a 74% chance.
Time Spent in Various Temperature Bands and the Growing Season in January
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 Ash Shafā are gradually increasing during January, increasing by 144°F, from 0°F to 144°F, over the course of the month.
Growing Degree Days in January
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 Ash Shafā is gradually increasing during January, rising by 0.7 kWh, from 4.9 kWh to 5.6 kWh, over the course of the month.
Average Daily Incident Shortwave Solar Energy in January
For the purposes of this report, the geographical coordinates of Ash Shafā are 21.072 deg latitude, 40.312 deg longitude, and 6,959 ft elevation.
The topography within 2 miles of Ash Shafā contains extreme variations in elevation, with a maximum elevation change of 3,724 feet and an average elevation above sea level of 7,006 feet. Within 10 miles also contains extreme variations in elevation (6,929 feet). Within 50 miles also contains extreme variations in elevation (8,622 feet).
The area within 2 miles of Ash Shafā is covered by bare soil (51%), shrubs (21%), and cropland (20%), within 10 miles by bare soil (65%) and sparse vegetation (16%), and within 50 miles by bare soil (88%).
This report illustrates the typical weather in Ash Shafā 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 Ash Shafā.
For each station, the records are corrected for the elevation difference between that station and Ash Shafā 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 Ash Shafā is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Ash Shafā and a given station.
The stations contributing to this reconstruction are: Taif Regional Airport (65%, 51 kilometers, northeast); Jeddah King Abdul Aziz International Airport (12%, 137 kilometers, northwest); and Al-Baha Domestic Airport (22%, 163 kilometers, southeast).
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.