Average Weather in Lira Uganda
In Lira, the wet season is overcast, the dry season is mostly cloudy, and it is hot year round. Over the course of the year, the temperature typically varies from 65°F to 95°F and is rarely below 62°F or above 100°F.
Based on the beach/pool score, the best times of year to visit Lira for hot-weather activities are from early August to early October and from early November to mid March.
The hot season lasts for 2.5 months, from January 11 to March 26, with an average daily high temperature above 92°F. The hottest day of the year is February 27, with an average high of 95°F and low of 69°F.
The cool season lasts for 4.1 months, from May 6 to September 10, with an average daily high temperature below 84°F. The coldest day of the year is August 4, with an average low of 65°F and high of 81°F.
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 Lira, 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 Lira begins around June 27 and lasts for 3.2 months, ending around October 2. On August 31, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 52% of the time, and overcast or mostly cloudy 48% of the time.
The cloudier part of the year begins around October 2 and lasts for 8.8 months, ending around June 27. On April 16, the cloudiest day of the year, the sky is overcast or mostly cloudy 82% of the time, and clear, mostly clear, or partly cloudy 17% 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 Lira varies very significantly throughout the year.
The wetter season lasts 7.4 months, from April 1 to November 14, with a greater than 34% chance of a given day being a wet day. The chance of a wet day peaks at 61% on August 14.
The drier season lasts 4.6 months, from November 14 to April 1. The smallest chance of a wet day is 8% on January 21.
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 61% on August 14.
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. Lira experiences extreme seasonal variation in monthly rainfall.
The rainy period of the year lasts for 11 months, from February 4 to January 11, with a sliding 31-day rainfall of at least 0.5 inches. The most rain falls during the 31 days centered around May 7, with an average total accumulation of 4.6 inches.
The rainless period of the year lasts for 3.3 weeks, from January 11 to February 4. The least rain falls around January 22, with an average total accumulation of 0.5 inches.
Average Monthly Rainfall
The length of the day in Lira does not vary substantially over the course of the year, staying within 15 minutes of 12 hours throughout. In 2018, the shortest day is December 22, with 11 hours, 60 minutes of daylight; the longest day is June 21, with 12 hours, 15 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 6:30 AM on October 31, and the latest sunrise is 31 minutes later at 7:01 AM on February 8. The earliest sunset is at 6:32 PM on November 6, and the latest sunset is 31 minutes later at 7:03 PM on February 14.
Daylight saving time (DST) is not observed in Lira during 2018.
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.
Lira experiences extreme seasonal variation in the perceived humidity.
The muggier period of the year lasts for 8.0 months, from March 21 to November 20, during which time the comfort level is muggy, oppressive, or miserable at least 16% of the time. The muggiest day of the year is May 10, with muggy conditions 59% of the time.
The least muggy day of the year is January 24, with muggy conditions 1% 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 Lira experiences significant seasonal variation over the course of the year.
The windier part of the year lasts for 4.9 months, from November 8 to April 4, with average wind speeds of more than 6.4 miles per hour. The windiest day of the year is December 17, with an average hourly wind speed of 8.6 miles per hour.
The calmer time of year lasts for 7.1 months, from April 4 to November 8. The calmest day of the year is June 20, with an average hourly wind speed of 4.1 miles per hour.
Average Wind Speed
The predominant average hourly wind direction in Lira varies throughout the year.
The wind is most often from the south for 3.3 months, from April 20 to July 29, with a peak percentage of 51% on May 29. The wind is most often from the west for 1.1 months, from July 29 to September 2, with a peak percentage of 34% on August 23. The wind is most often from the east for 6.4 months, from October 7 to April 20, with a peak percentage of 77% on January 1.
Best Time of Year to Visit
To characterize how pleasant the weather is in Lira 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 Lira for general outdoor tourist activities is from early June to late September, with a peak score in the last week of August.
The beach/pool score favors clear, rainless days with perceived temperatures between 75°F and 90°F. Based on this score, the best times of year to visit Lira for hot-weather activities are from early August to early October and from early November to mid March, with a peak score in the second week of December.
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 Lira 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 experiences some seasonal variation over the course of the year.
The brighter period of the year lasts for 2.3 months, from January 13 to March 23, with an average daily incident shortwave energy per square meter above 6.6 kWh. The brightest day of the year is February 28, with an average of 6.9 kWh.
The darker period of the year lasts for 3.4 months, from April 30 to August 9, with an average daily incident shortwave energy per square meter below 5.5 kWh. The darkest day of the year is June 22, with an average of 5.2 kWh.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of Lira are 2.250 deg latitude, 32.900 deg longitude, and 3,570 ft elevation.
The topography within 2 miles of Lira contains only modest variations in elevation, with a maximum elevation change of 200 feet and an average elevation above sea level of 3,578 feet. Within 10 miles contains only modest variations in elevation (614 feet). Within 50 miles contains significant variations in elevation (1,722 feet).
The area within 2 miles of Lira is covered by cropland (49%), artificial surfaces (20%), herbaceous vegetation (16%), and shrubs (11%), within 10 miles by cropland (59%) and shrubs (22%), and within 50 miles by cropland (44%) and shrubs (24%).
This report illustrates the typical weather in Lira, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.
Lira is further than 200 kilometers from the nearest reliable weather station, so the weather-related data on this page were taken entirely from NASA's MERRA-2 satellite-era reanalysis . 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.
The temperature and dew point estimates are corrected for the difference between the reference elevation of the MERRA-2 grid cell and the elevation of Lira, according to the International Standard Atmosphere .
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.
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.