Average Weather in Humaitá Brazil
In Humaitá, the wet season is overcast, the dry season is partly cloudy, and it is hot and oppressive year round. Over the course of the year, the temperature typically varies from 71°F to 90°F and is rarely below 67°F or above 97°F.
Based on the beach/pool score, the best time of year to visit Humaitá for hot-weather activities is from mid June to late August.
The temperature in Humaitá 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
In Humaitá, 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 Humaitá begins around May 31 and lasts for 3.6 months, ending around September 18. On July 24, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 63% of the time, and overcast or mostly cloudy 37% of the time.
The cloudier part of the year begins around September 18 and lasts for 8.4 months, ending around May 31. On December 16, the cloudiest day of the year, the sky is overcast or mostly cloudy 86% of the time, and clear, mostly clear, or partly cloudy 14% 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 Humaitá varies very significantly throughout the year.
The wetter season lasts 7.5 months, from October 1 to May 17, with a greater than 49% chance of a given day being a wet day. The chance of a wet day peaks at 86% on January 9.
The drier season lasts 4.5 months, from May 17 to October 1. The smallest chance of a wet day is 12% on July 28.
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 86% on January 9.
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. Humaitá experiences extreme seasonal variation in monthly rainfall.
Rain falls throughout the year in Humaitá. The most rain falls during the 31 days centered around January 9, with an average total accumulation of 10.7 inches.
The least rain falls around July 23, with an average total accumulation of 0.7 inches.
Average Monthly Rainfall
The length of the day in Humaitá does not vary substantially over the course of the year, staying within 33 minutes of 12 hours throughout. In 2017, the shortest day is June 21, with 11 hours, 41 minutes of daylight; the longest day is December 21, with 12 hours, 34 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 5:42 AM on November 14, and the latest sunrise is 43 minutes later at 6:26 AM on July 16. The earliest sunset is at 6:01 PM on May 24, and the latest sunset is 37 minutes later at 6:38 PM on January 29.
Daylight saving time (DST) is not observed in Humaitá 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.
The perceived humidity level in Humaitá, 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 4% of 96% 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 in Humaitá does not vary significantly over the course of the year, remaining within 0.2 miles per hour of 1.8 miles per hour throughout.
Average Wind Speed
The predominant average hourly wind direction in Humaitá varies throughout the year.
The wind is most often from the east for 6.8 months, from January 5 to July 29 and for 2.0 weeks, from December 10 to December 24, with a peak percentage of 52% on February 10. The wind is most often from the north for 4.4 months, from July 29 to December 10 and for 1.7 weeks, from December 24 to January 5, with a peak percentage of 56% on August 27.
Best Time of Year to Visit
To characterize how pleasant the weather is in Humaitá 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 Humaitá for general outdoor tourist activities is from mid June to mid August, 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 Humaitá for hot-weather activities is from mid June to late August, with a peak score in the third 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 Humaitá 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 0.5 kilowatt-hours of 5.0 kilowatt-hours throughout.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of Humaitá are -7.517 deg latitude, -63.031 deg longitude, and 171 ft elevation.
The topography within 2 miles of Humaitá contains only modest variations in elevation, with a maximum elevation change of 118 feet and an average elevation above sea level of 164 feet. Within 10 miles also contains only modest variations in elevation (161 feet). Within 50 miles also contains only modest variations in elevation (302 feet).
The area within 2 miles of Humaitá is covered by trees (30%), water (25%), cropland (21%), and shrubs (15%), within 10 miles by trees (72%) and water (10%), and within 50 miles by trees (94%).
This report illustrates the typical weather in Humaitá, 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, Governador Jorge Teixeira de Oliveira International Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Humaitá.
At a distance of 164 kilometers from Humaitá, further than our threshold of 150 kilometers, this station is deemed insufficiently nearby to be relied upon as our primary source for temperature and dew point records. Consequently, the station records are blended with interpolated values from NASA's MERRA-2 satellite-era reanalysis , and both are corrected for elevation differences according to the International Standard Atmosphere .
The weight assigned to the MERRA-2 value depends on the distance from Humaitá to the nearest station, increasing from 0% at 150 kilometers to 100% at 200 kilometers. In this case, the MERRA-2 weight is 22%, making the weight assigned to the weather station 78%.
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.