Average Weather in Buenos Aires Colombia
The climate in Buenos Aires is warm, muggy, and overcast. Over the course of the year, the temperature typically varies from 64°F to 83°F and is rarely below 62°F or above 87°F.
Based on the tourism score, the best time of year to visit Buenos Aires for warm-weather activities is from early June to late September.
The temperature in Buenos Aires 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
Sungai Penuh, Indonesia (12,300 miles away); Tondano, Indonesia (10,930 miles); and Little Baguio, Philippines (10,760 miles) are the far-away foreign places with temperatures most similar to Buenos Aires (view comparison).
In Buenos Aires, the average percentage of the sky covered by clouds experiences mild seasonal variation over the course of the year.
The clearer part of the year in Buenos Aires begins around June 8 and lasts for 3.2 months, ending around September 16. On July 27, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 28% of the time, and overcast or mostly cloudy 72% of the time.
The cloudier part of the year begins around September 16 and lasts for 8.8 months, ending around June 8. On April 19, the cloudiest day of the year, the sky is overcast or mostly cloudy 90% of the time, and clear, mostly clear, or partly cloudy 10% 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 in Buenos Aires varies significantly throughout the year.
The wetter season lasts 7.9 months, from September 28 to May 24, with a greater than 32% chance of a given day being a wet day. The chance of a wet day peaks at 51% on November 6.
The drier season lasts 4.1 months, from May 24 to September 28. The smallest chance of a wet day is 14% on July 26.
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 51% on November 6.
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. Buenos Aires experiences significant seasonal variation in monthly rainfall.
Rain falls throughout the year in Buenos Aires. The most rain falls during the 31 days centered around November 9, with an average total accumulation of 4.1 inches.
The least rain falls around July 31, with an average total accumulation of 0.8 inches.
Average Monthly Rainfall
The length of the day in Buenos Aires does not vary substantially over the course of the year, staying within 17 minutes of 12 hours throughout. In 2017, the shortest day is December 21, with 11 hours, 57 minutes of daylight; the longest day is June 20, with 12 hours, 18 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 5:49 AM on October 29, and the latest sunrise is 31 minutes later at 6:20 AM on February 6. The earliest sunset is at 5:50 PM on November 7, and the latest sunset is 31 minutes later at 6:21 PM on February 17.
Daylight saving time (DST) is not observed in Buenos Aires during 2017.
Sunrise & Sunset with Twilight
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.
Buenos Aires experiences extreme seasonal variation in the perceived humidity.
The muggier period of the year lasts for 9.8 months, from September 21 to July 15, during which time the comfort level is muggy, oppressive, or miserable at least 48% of the time. The muggiest day of the year is May 7, with muggy conditions 89% of the time.
The least muggy day of the year is August 20, with muggy conditions 34% of the time.
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 in Buenos Aires experiences mild seasonal variation over the course of the year.
The windier part of the year lasts for 4.3 months, from October 7 to February 16, with average wind speeds of more than 3.3 miles per hour. The windiest day of the year is November 21, with an average hourly wind speed of 4.1 miles per hour.
The calmer time of year lasts for 7.7 months, from February 16 to October 7. The calmest day of the year is May 30, with an average hourly wind speed of 2.6 miles per hour.
Average Wind Speed
The predominant average hourly wind direction in Buenos Aires varies throughout the year.
The wind is most often from the east for 2.7 months, from June 3 to August 24, with a peak percentage of 47% on July 11. The wind is most often from the west for 9.3 months, from August 24 to June 3, with a peak percentage of 66% on January 1.
Buenos Aires 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 does not vary significantly over the course of the year, remaining within 1°F of 81°F throughout.
Average Water Temperature
Best Time of Year to Visit
To characterize how pleasant the weather is in Buenos Aires 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 Buenos Aires for general outdoor tourist activities is from early June to late September, with a peak score in the third 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 Buenos Aires for hot-weather activities is from early June to mid 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 Buenos Aires 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 per square meter does not vary significantly over the course of the year, remaining within 0.4 kilowatt-hours of 4.7 kilowatt-hours throughout.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of Buenos Aires are 3.014 deg latitude, -76.646 deg longitude, and 3,780 ft elevation.
The topography within 2 miles of Buenos Aires contains very significant variations in elevation, with a maximum elevation change of 988 feet and an average elevation above sea level of 3,859 feet. Within 10 miles contains very significant variations in elevation (4,360 feet). Within 50 miles also contains extreme variations in elevation (17,641 feet).
The area within 2 miles of Buenos Aires is covered by trees (43%), shrubs (24%), cropland (18%), and grassland (15%), within 10 miles by trees (47%) and shrubs (23%), and within 50 miles by trees (55%) and grassland (16%).
This report illustrates the typical weather in Buenos Aires, 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 Buenos Aires.
For each station, the records are corrected for the elevation difference between that station and Buenos Aires 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 Buenos Aires is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Buenos Aires 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.