Average Weather in Lisbon Portugal
In Lisbon, the summers are warm, dry, and mostly clear and the winters are cold, wet, windy, and partly cloudy. Over the course of the year, the temperature typically varies from 47°F to 83°F and is rarely below 40°F or above 94°F.
Based on the beach/pool score, the best time of year to visit Lisbon for hot-weather activities is from early July to early September.
The warm season lasts for 3.1 months, from June 18 to September 21, with an average daily high temperature above 78°F. The hottest day of the year is July 28, with an average high of 83°F and low of 66°F.
The cool season lasts for 3.6 months, from November 19 to March 5, with an average daily high temperature below 63°F. The coldest day of the year is January 18, with an average low of 47°F and high of 58°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
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
In Lisbon, 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 in Lisbon begins around June 2 and lasts for 3.3 months, ending around September 13. On July 19, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 92% of the time, and overcast or mostly cloudy 8% of the time.
The cloudier part of the year begins around September 13 and lasts for 8.7 months, ending around June 2. On December 15, the cloudiest day of the year, the sky is overcast or mostly cloudy 50% of the time, and clear, mostly clear, or partly cloudy 50% of the time.
Cloud Cover Categories
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. The chance of wet days in Lisbon varies throughout the year.
The wetter season lasts 7.8 months, from September 25 to May 20, with a greater than 15% chance of a given day being a wet day. The chance of a wet day peaks at 29% on December 2.
The drier season lasts 4.2 months, from May 20 to September 25. The smallest chance of a wet day is 1% on July 30.
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 29% on December 2.
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. Lisbon experiences significant seasonal variation in monthly rainfall.
The rainy period of the year lasts for 9.2 months, from September 3 to June 9, with a sliding 31-day rainfall of at least 0.5 inches. The most rain falls during the 31 days centered around November 5, with an average total accumulation of 3.2 inches.
The rainless period of the year lasts for 2.8 months, from June 9 to September 3. The least rain falls around July 27, with an average total accumulation of 0.1 inches.
Average Monthly Rainfall
The length of the day in Lisbon varies significantly over the course of the year. In 2020, the shortest day is December 21, with 9 hours, 27 minutes of daylight; the longest day is June 20, with 14 hours, 53 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 6:11 AM on June 13, and the latest sunrise is 1 hour, 44 minutes later at 7:55 AM on October 24. The earliest sunset is at 5:14 PM on December 7, and the latest sunset is 3 hours, 51 minutes later at 9:05 PM on June 27.
Daylight saving time (DST) is observed in Lisbon during 2020, starting in the spring on March 29, lasting 6.9 months, and ending in the fall on October 25.
Sunrise & Sunset with Twilight and Daylight Saving Time
The figure below presents a compact representation of key lunar data for 2020. The horizontal axis is the day, the vertical axis is the hour of the day, and the colored areas indicate when the moon is above the horizon. The vertical gray bars (new Moons) and blue bars (full Moons) indicate key Moon phases.
Moon Rise, Set & Phases
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.
Lisbon experiences some seasonal variation in the perceived humidity.
The muggier period of the year lasts for 4.9 months, from June 10 to November 6, during which time the comfort level is muggy, oppressive, or miserable at least 4% of the time. The muggiest day of the year is August 15, with muggy conditions 16% of the time.
The least muggy day of the year is January 17, when muggy conditions are essentially unheard of.
Humidity Comfort Levels
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 Lisbon experiences mild seasonal variation over the course of the year.
The windier part of the year lasts for 9.6 months, from October 30 to August 17, with average wind speeds of more than 10.9 miles per hour. The windiest day of the year is December 14, with an average hourly wind speed of 12.1 miles per hour.
The calmer time of year lasts for 2.4 months, from August 17 to October 30. The calmest day of the year is September 16, with an average hourly wind speed of 9.7 miles per hour.
Average Wind Speed
The predominant average hourly wind direction in Lisbon varies throughout the year.
The wind is most often from the north for 11 months, from January 3 to December 8, with a peak percentage of 74% on July 23. The wind is most often from the east for 3.7 weeks, from December 8 to January 3, with a peak percentage of 29% on January 1.
Lisbon 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 3.8 months, from June 28 to October 22, with an average temperature above 65°F. The day of the year with the warmest water is August 24, with an average temperature of 66°F.
The time of year with cooler water lasts for 3.6 months, from January 3 to April 21, with an average temperature below 60°F. The day of the year with the coolest water is February 22, with an average temperature of 58°F.
Average Water Temperature
Best Time of Year to Visit
To characterize how pleasant the weather is in Lisbon 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 Lisbon for general outdoor tourist activities is from late May to late September, with a peak score in the second 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 Lisbon for hot-weather activities is from early July to early September, with a peak score in the last week of July.
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 in Lisbon 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
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.
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 3.3 months, from May 11 to August 20, with an average daily incident shortwave energy per square meter above 7.0 kWh. The brightest day of the year is July 1, with an average of 8.2 kWh.
The darker period of the year lasts for 3.6 months, from October 25 to February 13, with an average daily incident shortwave energy per square meter below 3.3 kWh. The darkest day of the year is December 15, with an average of 2.1 kWh.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of Lisbon are 38.717 deg latitude, -9.133 deg longitude, and 148 ft elevation.
The topography within 2 miles of Lisbon contains only modest variations in elevation, with a maximum elevation change of 443 feet and an average elevation above sea level of 131 feet. Within 10 miles contains only modest variations in elevation (1,198 feet). Within 50 miles contains very significant variations in elevation (2,215 feet).
The area within 2 miles of Lisbon is covered by artificial surfaces (58%) and water (42%), within 10 miles by artificial surfaces (40%) and water (34%), and within 50 miles by water (49%) and cropland (23%).
This report illustrates the typical weather in Lisbon, 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 Lisbon.
For each station, the records are corrected for the elevation difference between that station and Lisbon 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 Lisbon is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Lisbon 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 Algorithms 2nd Edition , 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 airports 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.