Average Weather at Dakhla Airport Morocco
The climate at Dakhla Airport is comfortable, windy, and mostly clear. Over the course of the year, the temperature typically varies from 59°F to 77°F and is rarely below 55°F or above 82°F.
Based on the beach/pool score, the best time of year to visit Dakhla Airport for hot-weather activities is from late June to early October.
The temperature at Dakhla Airport varies so little throughout the year that it is not entirely meaningful to discuss hot and cold seasons.
Average High and Low Temperature
The figure below shows you a compact characterization of the entire year of hourly average temperatures. The horizontal axis is the day of the year, the vertical axis is the hour of the day, and the color is the average temperature for that hour and day.
Average Hourly Temperature
At Dakhla Airport, the average percentage of the sky covered by clouds experiences significant seasonal variation over the course of the year.
The clearer part of the year at Dakhla Airport begins around May 22 and lasts for 3.6 months, ending around September 9. On July 7, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 97% of the time, and overcast or mostly cloudy 3% of the time.
The cloudier part of the year begins around September 9 and lasts for 8.4 months, ending around May 22. On November 24, the cloudiest day of the year, the sky is overcast or mostly cloudy 39% of the time, and clear, mostly clear, or partly cloudy 61% of the time.
Cloud Cover Categories
Dakhla Airport does not experience significant seasonal variation in the frequency of wet days (i.e., those with greater than 0.04 inches of liquid or liquid-equivalent precipitation). The frequency ranges from -0% to 4%, with an average value of 1%.
Among wet days, we distinguish between those that experience rain alone, snow alone, or a mixture of the two. Based on this categorization, the most common form of precipitation throughout the year is rain alone, with a peak probability of 4% on September 18.
Daily Chance of Precipitation
To show variation within the months and not just the monthly totals, we show the rainfall accumulated over a sliding 31-day period centered around each day of the year. Dakhla Airport experiences some seasonal variation in monthly rainfall.
Rain falls throughout the year at Dakhla Airport. The most rain falls during the 31 days centered around September 27, with an average total accumulation of 0.3 inches.
The least rain falls around July 1, with an average total accumulation of 0.0 inches.
Average Monthly Rainfall
The length of the day at Dakhla Airport varies over the course of the year. In 2018, the shortest day is December 21, with 10 hours, 40 minutes of daylight; the longest day is June 21, with 13 hours, 36 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 6:16 AM on June 8, and the latest sunrise is 1 hour, 51 minutes later at 8:06 AM on October 27. The earliest sunset is at 6:16 PM on November 28, and the latest sunset is 2 hours, 39 minutes later at 8:54 PM on July 3.
Daylight saving time (DST) is observed at Dakhla Airport during 2018, starting in the spring on March 25, lasting 1.6 months, and ending in the fall on May 13.
Sunrise & Sunset with Twilight and Daylight Saving Time
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.
Dakhla Airport experiences extreme seasonal variation in the perceived humidity.
The muggier period of the year lasts for 4.2 months, from July 7 to November 13, during which time the comfort level is muggy, oppressive, or miserable at least 13% of the time. The muggiest day of the year is September 6, with muggy conditions 52% of the time.
The least muggy day of the year is March 25, when muggy conditions are essentially unheard of.
Humidity Comfort Levels
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 at Dakhla Airport experiences significant seasonal variation over the course of the year.
The windier part of the year lasts for 5.7 months, from April 4 to September 26, with average wind speeds of more than 14.5 miles per hour. The windiest day of the year is July 4, with an average hourly wind speed of 17.2 miles per hour.
The calmer time of year lasts for 6.3 months, from September 26 to April 4. The calmest day of the year is November 1, with an average hourly wind speed of 11.7 miles per hour.
Average Wind Speed
The predominant average hourly wind direction at Dakhla Airport varies throughout the year.
The wind is most often from the north for 10 months, from January 25 to December 1, with a peak percentage of 99% on July 5. The wind is most often from the east for 1.8 months, from December 1 to January 25, with a peak percentage of 55% on January 1.
Dakhla Airport 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 water temperature experiences some seasonal variation over the course of the year.
The time of year with warmer water lasts for 3.4 months, from July 30 to November 12, with an average temperature above 68°F. The day of the year with the warmest water is October 11, with an average temperature of 69°F.
The time of year with cooler water lasts for 3.5 months, from January 9 to April 25, with an average temperature below 65°F. The day of the year with the coolest water is February 15, with an average temperature of 64°F.
Average Water Temperature
Best Time of Year to Visit
To characterize how pleasant the weather is at Dakhla Airport throughout the year, we compute two travel scores.
The tourism score favors clear, rainless days with perceived temperatures between 65°F and 80°F. Based on this score, the best time of year to visit Dakhla Airport for general outdoor tourist activities is from mid May to mid September, with a peak score in the first week of July.
The beach/pool score favors clear, rainless days with perceived temperatures between 75°F and 90°F. Based on this score, the best time of year to visit Dakhla Airport for hot-weather activities is from late June to early October, with a peak score in the first week of August.
For each hour between 8:00 AM and 9:00 PM of each day in the analysis period (1980 to 2016), independent scores are computed for perceived temperature, cloud cover, and total precipitation. Those scores are combined into a single hourly composite score, which is then aggregated into days, averaged over all the years in the analysis period, and smoothed.
Our cloud cover score is 10 for fully clear skies, falling linearly to 9 for mostly clear skies, and to 1 for fully overcast skies.
Our precipitation score, which is based on the three-hour precipitation centered on the hour in question, is 10 for no precipitation, falling linearly to 9 for trace precipitation, and to 0 for 0.04 inches of precipitation or more.
Our tourism temperature score is 0 for perceived temperatures below 50°F, rising linearly to 9 for 65°F, to 10 for 75°F, falling linearly to 9 for 80°F, and to 1 for 90°F or hotter.
Our beach/pool temperature score is 0 for perceived temperatures below 65°F, rising linearly to 9 for 75°F, to 10 for 82°F, falling linearly to 9 for 90°F, and to 1 for 100°F or hotter.
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).
Temperatures at Dakhla Airport are sufficiently warm year round that it is not entirely meaningful to discuss the growing season in these terms. We nevertheless include the chart below as an illustration of the distribution of temperatures experienced throughout the year.
Time Spent in Various Temperature Bands and the Growing Season
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.
Growing Degree Days
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 experiences significant seasonal variation over the course of the year.
The brighter period of the year lasts for 3.8 months, from April 5 to July 30, with an average daily incident shortwave energy per square meter above 7.2 kWh. The brightest day of the year is June 7, with an average of 7.9 kWh.
The darker period of the year lasts for 2.8 months, from November 5 to January 30, with an average daily incident shortwave energy per square meter below 4.9 kWh. The darkest day of the year is December 18, with an average of 4.2 kWh.
Average Daily Incident Shortwave Solar Energy
This report illustrates the typical weather at Dakhla Airport, 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
Dakhla Airport has a weather station that reported reliably enough during the analysis period that we have included it in our network. When available, historical temperature and dew point measurements are taken directly from this weather station. These records are obtained from NOAA's Integrated Surface Hourly data set, falling back on ICAO METAR records as required.There are no other weather stations in our network within 200 kilometers of this location. Consequently, in the case of missing or erroneous measurements from this station, we fall back on NASA's MERRA-2 modern-era reanalysis , adjusted according to typical seasonal and diurnal differences between this station and the wide-area MERRA-2 reconstructed values.
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.