May Weather in Shinyanga TanzaniaDaily high temperatures are around 86°F, rarely falling below 81°F or exceeding 90°F. Daily low temperatures decrease by 2°F, from 63°F to 61°F, rarely falling below 57°F or exceeding 65°F. For reference, on October 2, the hottest day of the year, temperatures in Shinyanga typically range from 63°F to 91°F, while on July 15, the coldest day of the year, they range from 58°F to 86°F. The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on May. 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. San Cristóbal Honduras, Mexico (8,975 miles away) is the far-away foreign place with temperatures most similar to Shinyanga (view comparison). CloudsThe month of May in Shinyanga experiences rapidly decreasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy decreasing from 67% to 53%. The clearest day of the month is May 31, with clear, mostly clear, or partly cloudy conditions 47% of the time. For reference, on January 3, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 81%, while on July 23, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 66%. PrecipitationA wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In Shinyanga, the chance of a wet day over the course of May is very rapidly decreasing, starting the month at 37% and ending it at 5%. For reference, the year's highest daily chance of a wet day is 59% on December 1, and its lowest chance is 1% on July 23. RainfallTo 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 May in Shinyanga is very rapidly decreasing, starting the month at 2.4 inches, when it rarely exceeds 4.1 inches or falls below 0.8 inches, and ending the month at 0.4 inches, when it rarely exceeds 0.9 inches. SunOver the course of May in Shinyanga, the length of the day is essentially constant. The shortest day of the month is May 31, with 11 hours, 55 minutes of daylight and the longest day is May 1, with 11 hours, 59 minutes of daylight. The earliest sunrise of the month in Shinyanga is 6:43 AM on May 6 and the latest sunrise is 2 minutes, 32 seconds later at 6:46 AM on May 31. The latest sunset is 6:42 PM on May 1 and the earliest sunset is 1 minute, 43 seconds earlier at 6:41 PM on May 19. Daylight saving time is not observed in Shinyanga during 2024. For reference, on December 21, the longest day of the year, the Sun rises at 6:34 AM and sets 12 hours, 20 minutes later, at 6:54 PM, while on June 20, the shortest day of the year, it rises at 6:50 AM and sets 11 hours, 55 minutes later, at 6:45 PM. The figure below presents a compact representation of the sun's elevation (the angle of the sun above the horizon) and azimuth (its compass bearing) for every hour of every day in the reporting period. The horizontal axis is the day of the year and the vertical axis is the hour of the day. For a given day and hour of that day, the background color indicates the azimuth of the sun at that moment. The black isolines are contours of constant solar elevation. MoonThe figure below presents a compact representation of key lunar data for May 2024. The horizontal axis is the day, the vertical axis is the hour of the day, and the colored areas indicate when the moon is above the horizon. The vertical gray bars (new Moons) and blue bars (full Moons) indicate key Moon phases. The label associated with each bar indicates the date and time that the phase is obtained, and the companion time labels indicate the rise and set times of the Moon for the nearest time interval in which the moon is above the horizon.
HumidityWe 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 Shinyanga is very rapidly decreasing during May, falling from 33% to 5% over the course of the month. For reference, on January 16, the muggiest day of the year, there are muggy conditions 54% of the time, while on July 11, the least muggy day of the year, there are muggy conditions 0% of the time. WindThis 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 Shinyanga is increasing during May, increasing from 8.6 miles per hour to 9.6 miles per hour over the course of the month. For reference, on August 11, the windiest day of the year, the daily average wind speed is 11.7 miles per hour, while on January 17, the calmest day of the year, the daily average wind speed is 4.8 miles per hour. The hourly average wind direction in Shinyanga throughout May is predominantly from the east, with a peak proportion of 86% on May 12. Growing SeasonDefinitions 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 Shinyanga 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. 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 Shinyanga are rapidly increasing during May, increasing by 684°F, from 7,034°F to 7,718°F, over the course of the month. Solar EnergyThis 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 Shinyanga is essentially constant during May, remaining around 6.4 kWh throughout. TopographyFor the purposes of this report, the geographical coordinates of Shinyanga are -3.664 deg latitude, 33.421 deg longitude, and 3,717 ft elevation. The topography within 2 miles of Shinyanga contains only modest variations in elevation, with a maximum elevation change of 151 feet and an average elevation above sea level of 3,714 feet. Within 10 miles contains only modest variations in elevation (807 feet). Within 50 miles contains significant variations in elevation (1,401 feet). The area within 2 miles of Shinyanga is covered by cropland (69%), grassland (11%), and herbaceous vegetation (11%), within 10 miles by cropland (63%) and grassland (27%), and within 50 miles by cropland (60%) and herbaceous vegetation (13%). Data SourcesThis report illustrates the typical weather in Shinyanga, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016. Temperature and Dew PointThere is only a single weather station, Mwanza Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Shinyanga. At a distance of 146 kilometers from Shinyanga, 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 Shinyanga 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. Other DataAll data relating to the Sun's position (e.g., sunrise and sunset) are computed using astronomical formulas from the book, Astronomical Algorithms 2nd Edition , 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 airports and weather stations are provided by AskGeo.com . Maps are © OpenStreetMap contributors. DisclaimerThe 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. Please review our full terms contained on our Terms of Service page. |