Average Weather at Dortmund Airport Germany
At Dortmund Airport, the summers are comfortable and partly cloudy and the winters are long, very cold, windy, and mostly cloudy. Over the course of the year, the temperature typically varies from 32°F to 74°F and is rarely below 18°F or above 85°F.
Based on the tourism score, the best time of year to visit Dortmund Airport for warm-weather activities is from late June to early September.
The warm season lasts for 3.0 months, from June 7 to September 9, with an average daily high temperature above 67°F. The hottest day of the year is August 5, with an average high of 74°F and low of 58°F.
The cold season lasts for 3.8 months, from November 18 to March 10, with an average daily high temperature below 47°F. The coldest day of the year is February 8, with an average low of 32°F and high of 41°F.
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 Dortmund 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 Dortmund Airport begins around March 23 and lasts for 6.6 months, ending around October 12. On July 22, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 55% of the time, and overcast or mostly cloudy 45% of the time.
The cloudier part of the year begins around October 12 and lasts for 5.4 months, ending around March 23. On December 26, the cloudiest day of the year, the sky is overcast or mostly cloudy 75% of the time, and clear, mostly clear, or partly cloudy 25% of the time.
Cloud Cover Categories
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. The chance of wet days at Dortmund Airport varies throughout the year.
The wetter season lasts 7.7 months, from June 13 to February 4, with a greater than 33% chance of a given day being a wet day. The chance of a wet day peaks at 39% on December 26.
The drier season lasts 4.3 months, from February 4 to June 13. The smallest chance of a wet day is 27% on March 4.
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 36% on July 12.
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. Dortmund Airport experiences some seasonal variation in monthly rainfall.
Rain falls throughout the year at Dortmund Airport. The most rain falls during the 31 days centered around December 28, with an average total accumulation of 2.7 inches.
The least rain falls around April 21, with an average total accumulation of 1.7 inches.
Average Monthly Rainfall
The length of the day at Dortmund Airport varies extremely over the course of the year. In 2018, the shortest day is December 21, with 7 hours, 50 minutes of daylight; the longest day is June 21, with 16 hours, 39 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 5:11 AM on June 17, and the latest sunrise is 3 hours, 24 minutes later at 8:35 AM on December 31. The earliest sunset is at 4:20 PM on December 13, and the latest sunset is 5 hours, 31 minutes later at 9:51 PM on June 26.
Daylight saving time (DST) is observed at Dortmund Airport during 2018, starting in the spring on March 25, lasting 7.1 months, and ending in the fall on October 28.
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.
The perceived humidity level at Dortmund Airport, as measured by the percentage of time in which the humidity comfort level is muggy, oppressive, or miserable, does not vary significantly over the course of the year, staying within 1% of 1% throughout.
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 Dortmund Airport experiences significant seasonal variation over the course of the year.
The windier part of the year lasts for 5.4 months, from October 17 to March 31, with average wind speeds of more than 10.9 miles per hour. The windiest day of the year is January 7, with an average hourly wind speed of 13.1 miles per hour.
The calmer time of year lasts for 6.6 months, from March 31 to October 17. The calmest day of the year is August 5, with an average hourly wind speed of 8.6 miles per hour.
Average Wind Speed
The predominant average hourly wind direction at Dortmund Airport varies throughout the year.
The wind is most often from the west for 8.0 months, from January 29 to September 29, with a peak percentage of 48% on July 8. The wind is most often from the south for 4.0 months, from September 29 to January 29, with a peak percentage of 43% on January 1.
Best Time of Year to Visit
To characterize how pleasant the weather is at Dortmund 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 Dortmund Airport for general outdoor tourist activities is from late June to early September, with a peak score in the first week of August.
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 Dortmund Airport for hot-weather activities is from mid July to mid August, 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).
The growing season at Dortmund Airport typically lasts for 7.2 months (221 days), from around April 7 to around November 14, rarely starting before March 4 or after April 30, and rarely ending before October 18 or after December 11.
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.
Based on growing degree days alone, the first spring blooms at Dortmund Airport should appear around April 22, only rarely appearing before April 7 or after May 7.
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 extreme seasonal variation over the course of the year.
The brighter period of the year lasts for 3.6 months, from April 29 to August 18, with an average daily incident shortwave energy per square meter above 5.2 kWh. The brightest day of the year is June 23, with an average of 6.3 kWh.
The darker period of the year lasts for 3.7 months, from October 27 to February 18, with an average daily incident shortwave energy per square meter below 1.7 kWh. The darkest day of the year is December 23, with an average of 0.6 kWh.
Average Daily Incident Shortwave Solar Energy
This report illustrates the typical weather at Dortmund 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
Dortmund 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.
In the case of missing or erroneous measurements from this station, we fall back on records from nearby stations, adjusted according to typical seasonal and diurnal intra-station differences. For a given day of the year and hour of the day, the fallback station is selected to minimize the prediction error over the years for which there are measurements for both stations.
The stations on which we may fall back include but are not limited to Münster-Telgte, Münster Osnabrück International Airport, Cologne Bonn Airport, Royal Air Force Station Gütersloh, Rheine-Bentlage Air Base, Rheine-Hopsten Air Base, Düsseldorf International Airport, and Twenthe Airport.
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.