Average Weather in January in São Paulo Brazil
Daily high temperatures are around 82°F, rarely falling below 75°F or exceeding 89°F.
Daily low temperatures are around 68°F, rarely falling below 64°F or exceeding 72°F.
For reference, on February 12, the hottest day of the year, temperatures in São Paulo typically range from 69°F to 83°F, while on July 23, the coldest day of the year, they range from 55°F to 72°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 São Paulo experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 71% throughout the month. The highest chance of overcast or mostly cloudy conditions is 73% on January 14.
The clearest day of the month is January 1, with clear, mostly clear, or partly cloudy conditions 31% of the time.
For reference, on January 14, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 73%, while on August 27, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 68%.
Cloud Cover Categories in January
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In São Paulo, the chance of a wet day over the course of January is gradually increasing, starting the month at 66% and ending it at 68%.
For reference, the year's highest daily chance of a wet day is 69% on January 19, and its lowest chance is 14% on August 16.
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 São Paulo is increasing, starting the month at 7.9 inches, when it rarely exceeds 11.6 inches or falls below 5.0 inches, and ending the month at 8.5 inches, when it rarely exceeds 12.7 inches or falls below 4.5 inches.
The highest average 31-day accumulation is 8.7 inches on January 25.
Average Monthly Rainfall in January
Over the course of January in São Paulo, the length of the day is gradually decreasing. From the start to the end of the month, the length of the day decreases by 23 minutes, implying an average daily decrease of 47 seconds, and weekly decrease of 5 minutes, 28 seconds.
The shortest day of the month is January 31, with 13 hours, 10 minutes of daylight and the longest day is January 1, with 13 hours, 34 minutes of daylight.
Hours of Daylight and Twilight in January
The earliest sunrise of the month in São Paulo is 6:23 AM on January 1 and the latest sunrise is 21 minutes later at 6:44 AM on January 31.
The latest sunset is 7:58 PM on January 13 and the earliest sunset is 4 minutes earlier at 7:54 PM on January 31.
Daylight saving time is observed in São Paulo 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 6:16 AM and sets 13 hours, 36 minutes later, at 7:52 PM, while on June 21, the shortest day of the year, it rises at 6:47 AM and sets 10 hours, 41 minutes later, at 5:28 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 São Paulo is rapidly increasing during January, rising from 50% to 62% over the course of the month.
For reference, on February 13, the muggiest day of the year, there are muggy conditions 65% of the time, while on June 29, 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 São Paulo is essentially constant during January, remaining within 0.2 miles per hour of 7.3 miles per hour throughout.
For reference, on September 26, the windiest day of the year, the daily average wind speed is 8.7 miles per hour, while on February 24, the calmest day of the year, the daily average wind speed is 6.6 miles per hour.
Average Wind Speed in January
Wind Direction in January
São Paulo 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 surface water temperature in São Paulo is essentially constant during January, remaining within 1°F of 79°F throughout.
Average Water Temperature 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 São Paulo 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 São Paulo are rapidly increasing during January, increasing by 720°F, from 3,247°F to 3,967°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 São Paulo is essentially constant during January, remaining within 0.2 kWh of 5.9 kWh throughout.
Average Daily Incident Shortwave Solar Energy in January
For the purposes of this report, the geographical coordinates of São Paulo are -23.548 deg latitude, -46.636 deg longitude, and 2,457 ft elevation.
The topography within 2 miles of São Paulo contains only modest variations in elevation, with a maximum elevation change of 427 feet and an average elevation above sea level of 2,497 feet. Within 10 miles contains only modest variations in elevation (1,657 feet). Within 50 miles contains very significant variations in elevation (5,630 feet).
The area within 2 miles of São Paulo is covered by artificial surfaces (99%), within 10 miles by artificial surfaces (86%), and within 50 miles by trees (46%) and water (15%).
This report illustrates the typical weather in São Paulo 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 are 2 weather stations near enough to contribute to our estimation of the temperature and dew point in São Paulo.
For each station, the records are corrected for the elevation difference between that station and São Paulo 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 São Paulo is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between São Paulo 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.