Average Weather in January in Kabul Afghanistan
The lowest daily average high temperature is 43°F on January 19.
Daily low temperatures are around 25°F, rarely falling below 14°F or exceeding 34°F. The lowest daily average low temperature is 24°F on January 16.
For reference, on July 18, the hottest day of the year, temperatures in Kabul typically range from 67°F to 93°F, while on January 16, the coldest day of the year, they range from 24°F to 43°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
The month of January in Kabul experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 37% throughout the month.
The clearest day of the month is January 16, with clear, mostly clear, or partly cloudy conditions 64% of the time.
For reference, on March 18, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 44%, while on August 30, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 99%.
Cloud Cover Categories in January
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In Kabul, the chance of a wet day over the course of January is increasing, starting the month at 8% and ending it at 13%.
For reference, the year's highest daily chance of a wet day is 22% on March 19, and its lowest chance is 6% on December 1.
Over the course of January in Kabul, the chance of a day with only rain increases from 3% to 5%, the chance of a day with mixed snow and rain remains an essentially constant 5% throughout, and the chance of a day with only snow remains an essentially constant 2% throughout.
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 Kabul is gradually increasing, starting the month at 0.3 inches, when it rarely exceeds 0.8 inches, and ending the month at 0.7 inches, when it rarely exceeds 2.1 inches.
Average Monthly Rainfall in January
We report snowfall in liquid-equivalent terms. The actual depth of new snowfall is typically between 5 and 10 times the liquid-equivalent amount, assuming the ground is frozen. As with rainfall, we consider the liquid-equivalent snowfall accumulated over a sliding 31-day period centered around each day.
The average sliding 31-day liquid-equivalent snowfall during January in Kabul is essentially constant, remaining about 0.3 inches throughout, and rarely exceeding 1.1 inches or falling to 0.0 inches.
Average Monthly Liquid-Equivalent Snowfall in January
Over the course of January in Kabul, the length of the day is increasing. From the start to the end of the month, the length of the day increases by 36 minutes, implying an average daily increase of 1 minute, 12 seconds, and weekly increase of 8 minutes, 22 seconds.
The shortest day of the month is January 1, with 9 hours, 53 minutes of daylight and the longest day is January 31, with 10 hours, 29 minutes of daylight.
Hours of Daylight and Twilight in January
The latest sunrise of the month in Kabul is 7:00 AM on January 7 and the earliest sunrise is 8 minutes earlier at 6:52 AM on January 31.
The earliest sunset is 4:53 PM on January 1 and the latest sunset is 28 minutes later at 5:21 PM on January 31.
Daylight saving time is not observed in Kabul during 2018.
For reference, on June 21, the longest day of the year, the Sun rises at 4:40 AM and sets 14 hours, 28 minutes later, at 7:09 PM, while on December 21, the shortest day of the year, it rises at 6:55 AM and sets 9 hours, 51 minutes later, at 4:46 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 Kabul is essentially constant during January, remaining around 0% throughout.
For reference, on July 23, the muggiest day of the year, there are muggy conditions 0% 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
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 Kabul is gradually increasing during January, increasing from 5.0 miles per hour to 5.6 miles per hour over the course of the month.
For reference, on June 30, the windiest day of the year, the daily average wind speed is 9.0 miles per hour, while on November 21, the calmest day of the year, the daily average wind speed is 4.9 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).
The growing season in Kabul typically lasts for 8.1 months (248 days), from around March 16 to around November 19, rarely starting before February 23 or after April 8, and rarely ending before November 2 or after December 7.
The month of January in Kabul is reliably fully outside of the growing season.
Time Spent in Various Temperature Bands and the Growing Season in January
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 Kabul are essentially constant during January, remaining within 1°F of 1°F throughout.
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 Kabul is gradually increasing during January, rising by 0.6 kWh, from 3.2 kWh to 3.8 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 Kabul are 34.528 deg latitude, 69.172 deg longitude, and 5,896 ft elevation.
The topography within 2 miles of Kabul contains very significant variations in elevation, with a maximum elevation change of 1,371 feet and an average elevation above sea level of 5,971 feet. Within 10 miles contains very significant variations in elevation (3,780 feet). Within 50 miles also contains extreme variations in elevation (13,261 feet).
The area within 2 miles of Kabul is covered by artificial surfaces (90%), within 10 miles by cropland (33%) and grassland (31%), and within 50 miles by grassland (67%) and cropland (13%).
This report illustrates the typical weather in Kabul 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 2 weather stations near enough to contribute to our estimation of the temperature and dew point in Kabul.
For each station, the records are corrected for the elevation difference between that station and Kabul 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 Kabul is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Kabul and a given station.
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.