Average Weather in October in Puma Tanzania
Daily high temperatures are around 83°F, rarely falling below 80°F or exceeding 87°F. The highest daily average high temperature is 84°F on October 28.
Daily low temperatures increase by 2°F, from 59°F to 61°F, rarely falling below 56°F or exceeding 64°F.
For reference, on October 26, the hottest day of the year, temperatures in Puma typically range from 61°F to 84°F, while on July 18, the coldest day of the year, they range from 54°F to 76°F.
Average High and Low Temperature in October
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on October. 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 October
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
The month of October in Puma experiences increasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy increasing from 48% to 57%.
The clearest day of the month is October 1, with clear, mostly clear, or partly cloudy conditions 52% of the time.
For reference, on January 17, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 81%, while on August 18, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 73%.
Cloud Cover Categories in October
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. In Puma, the chance of a wet day over the course of October is very rapidly increasing, starting the month at 2% and ending it at 13%.
For reference, the year's highest daily chance of a wet day is 52% on January 1, and its lowest chance is 1% on July 24.
Probability of Precipitation in October
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 October in Puma is increasing, starting the month at 0.2 inches, when it rarely exceeds 0.5 inches or falls below -0.0 inches, and ending the month at 0.9 inches, when it rarely exceeds 2.4 inches or falls below 0.1 inches.
Average Monthly Rainfall in October
Over the course of October in Puma, the length of the day is essentially constant. The shortest day of the month is October 1, with 12 hours, 9 minutes of daylight and the longest day is October 31, with 12 hours, 17 minutes of daylight.
Hours of Daylight and Twilight in October
The latest sunrise of the month in Puma is 6:26 AM on October 1 and the earliest sunrise is 10 minutes earlier at 6:16 AM on October 31.
The latest sunset is 6:35 PM on October 1 and the earliest sunset is 2 minutes, 22 seconds earlier at 6:32 PM on October 23.
Daylight saving time is not observed in Puma during 2019.
For reference, on December 22, the longest day of the year, the Sun rises at 6:26 AM and sets 12 hours, 25 minutes later, at 6:51 PM, while on June 21, the shortest day of the year, it rises at 6:47 AM and sets 11 hours, 50 minutes later, at 6:37 PM.
Sunrise & Sunset with Twilight in October
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 Puma is essentially constant during October, remaining around 0% throughout.
For reference, on March 25, the muggiest day of the year, there are muggy conditions 3% of the time, while on May 27, the least muggy day of the year, there are muggy conditions 0% of the time.
Humidity Comfort Levels in October
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 Puma is gradually decreasing during October, decreasing from 14.5 miles per hour to 13.6 miles per hour over the course of the month.
For reference, on September 27, the windiest day of the year, the daily average wind speed is 14.5 miles per hour, while on February 4, the calmest day of the year, the daily average wind speed is 6.5 miles per hour.
Average Wind Speed in October
Wind Direction in October
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 Puma 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 October
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.
The average accumulated growing degree days in Puma are rapidly increasing during October, increasing by 646°F, from 1,523°F to 2,169°F, over the course of the month.
Growing Degree Days in October
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 Puma is essentially constant during October, remaining within 0.1 kWh of 7.6 kWh throughout.
The highest average daily incident shortwave solar energy during October is 7.7 kWh on October 12.
Average Daily Incident Shortwave Solar Energy in October
For the purposes of this report, the geographical coordinates of Puma are -5.000 deg latitude, 34.733 deg longitude, and 5,180 ft elevation.
The topography within 2 miles of Puma contains only modest variations in elevation, with a maximum elevation change of 308 feet and an average elevation above sea level of 5,186 feet. Within 10 miles contains only modest variations in elevation (1,060 feet). Within 50 miles contains very significant variations in elevation (2,854 feet).
The area within 2 miles of Puma is covered by shrubs (64%) and cropland (30%), within 10 miles by shrubs (65%) and cropland (20%), and within 50 miles by shrubs (37%) and trees (30%).
This report illustrates the typical weather in Puma 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, Dodoma Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Puma.
At a distance of 172 kilometers from Puma, 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 Puma to the nearest station, increasing from 0% at 150 kilometers to 100% at 200 kilometers. In this case, the MERRA-2 weight is 31%, making the weight assigned to the weather station 69%.
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.