Average Weather in January in Brasília Brazil
Daily high temperatures are around 80°F, rarely falling below 73°F or exceeding 86°F.
Daily low temperatures are around 65°F, rarely falling below 61°F or exceeding 67°F.
For reference, on September 25, the hottest day of the year, temperatures in Brasília typically range from 62°F to 84°F, while on July 12, the coldest day of the year, they range from 53°F to 78°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 Brasília experiences gradually decreasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy decreasing from 85% to 79%.
The clearest day of the month is January 29, with clear, mostly clear, or partly cloudy conditions 22% of the time.
For reference, on December 10, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 87%, while on July 31, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 77%.
Cloud Cover Categories in January
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In Brasília, the chance of a wet day over the course of January is rapidly decreasing, starting the month at 75% and ending it at 67%.
For reference, the year's highest daily chance of a wet day is 79% on December 6, and its lowest chance is 1% on July 29.
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 Brasília is rapidly decreasing, starting the month at 8.5 inches, when it rarely exceeds 12.9 inches or falls below 4.5 inches, and ending the month at 7.4 inches, when it rarely exceeds 13.6 inches or falls below 3.1 inches.
Average Monthly Rainfall in January
Over the course of January in Brasília, the length of the day is gradually decreasing. From the start to the end of the month, the length of the day decreases by 15 minutes, implying an average daily decrease of 30 seconds, and weekly decrease of 3 minutes, 32 seconds.
The shortest day of the month is January 31, with 12 hours, 48 minutes of daylight and the longest day is January 1, with 13 hours, 3 minutes of daylight.
Hours of Daylight and Twilight in January
The earliest sunrise of the month in Brasília is 6:43 AM on January 1 and the latest sunrise is 17 minutes later at 7:01 AM on January 31.
The earliest sunset is 7:46 PM on January 1 and the latest sunset is 3 minutes later at 7:50 PM on January 20.
Daylight saving time is observed in Brasília during 2018, but it neither starts nor ends during January, so the entire month is in daylight saving time.
For reference, on December 21, the longest day of the year, the Sun rises at 6:37 AM and sets 13 hours, 4 minutes later, at 7:41 PM, while on June 21, the shortest day of the year, it rises at 6:37 AM and sets 11 hours, 11 minutes later, at 5:49 PM.
Sunrise & Sunset with Twilight and Daylight Saving Time 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 Brasília is essentially constant during January, remaining within 1% of 33% throughout.
The highest chance of a muggy day during January is 34% on January 14.
For reference, on March 14, the muggiest day of the year, there are muggy conditions 35% of the time, while on August 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 Brasília is essentially constant during January, remaining within 0.2 miles per hour of 6.0 miles per hour throughout.
For reference, on August 28, the windiest day of the year, the daily average wind speed is 8.7 miles per hour, while on March 12, the calmest day of the year, the daily average wind speed is 5.5 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).
Temperatures in Brasília 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 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 Brasília are rapidly increasing during January, increasing by 652°F, from 3,780°F to 4,432°F, over the course of the month.
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 Brasília is essentially constant during January, remaining within 0.1 kWh of 5.9 kWh throughout.
Average Daily Incident Shortwave Solar Energy in January
For the purposes of this report, the geographical coordinates of Brasília are -15.780 deg latitude, -47.930 deg longitude, and 3,665 ft elevation.
The topography within 2 miles of Brasília contains only modest variations in elevation, with a maximum elevation change of 299 feet and an average elevation above sea level of 3,723 feet. Within 10 miles contains only modest variations in elevation (1,125 feet). Within 50 miles contains very significant variations in elevation (2,559 feet).
The area within 2 miles of Brasília is covered by artificial surfaces (64%), shrubs (18%), and trees (10%), within 10 miles by shrubs (41%) and trees (21%), and within 50 miles by shrubs (31%) and trees (30%).
This report illustrates the typical weather in Brasília 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 is only a single weather station, Brasilia International Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Brasília.
At a distance of 9 kilometers from Brasília, closer than our threshold of 150 kilometers, this station is deemed sufficiently nearby to be relied upon as our primary source for temperature and dew point records.
The station records are corrected for the elevation difference between the station and Brasília according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations.
Please note that the station records themselves may additionally have been back-filled using other nearby stations or the MERRA-2 reanalysis.
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.