Average Weather in June in Campo Grande Brazil
Daily high temperatures are around 81°F, rarely falling below 69°F or exceeding 89°F. The lowest daily average high temperature is 81°F on June 7.
Daily low temperatures are around 62°F, rarely falling below 52°F or exceeding 70°F.
For reference, on October 16, the hottest day of the year, temperatures in Campo Grande typically range from 69°F to 88°F, while on July 20, the coldest day of the year, they range from 61°F to 82°F.
Average High and Low Temperature in June
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on June. 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 June
The month of June in Campo Grande experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 34% throughout the month.
The clearest day of the month is June 30, with clear, mostly clear, or partly cloudy conditions 67% of the time.
For reference, on January 22, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 73%, while on July 23, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 73%.
Cloud Cover Categories in June
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In Campo Grande, the chance of a wet day over the course of June is very rapidly decreasing, starting the month at 24% and ending it at 14%.
For reference, the year's highest daily chance of a wet day is 70% on January 14, and its lowest chance is 11% on July 19.
Probability of Precipitation in June
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 June in Campo Grande is rapidly decreasing, starting the month at 2.7 inches, when it rarely exceeds 5.3 inches or falls below 0.5 inches, and ending the month at 1.3 inches, when it rarely exceeds 3.6 inches or falls below 0.1 inches.
Average Monthly Rainfall in June
Over the course of June in Campo Grande, the length of the day is essentially constant. The shortest day of the month is June 20, with 10 hours, 54 minutes of daylight and the longest day is June 1, with 10 hours, 58 minutes of daylight.
Hours of Daylight and Twilight in June
The earliest sunrise of the month in Campo Grande is 6:07 AM on June 1 and the latest sunrise is 8 minutes later at 6:15 AM on June 30.
The earliest sunset is 5:05 PM on June 6 and the latest sunset is 4 minutes later at 5:09 PM on June 30.
Daylight saving time is observed in Campo Grande during 2018, but it neither starts nor ends during June, so the entire month is in standard time.
For reference, on December 21, the longest day of the year, the Sun rises at 5:55 AM and sets 13 hours, 23 minutes later, at 7:17 PM, while on June 21, the shortest day of the year, it rises at 6:13 AM and sets 10 hours, 54 minutes later, at 5:07 PM.
Sunrise & Sunset with Twilight in June
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 Campo Grande is rapidly decreasing during June, falling from 18% to 8% over the course of the month.
For reference, on January 11, the muggiest day of the year, there are muggy conditions 90% of the time, while on July 27, the least muggy day of the year, there are muggy conditions 4% of the time.
Humidity Comfort Levels in June
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 Campo Grande is gradually increasing during June, increasing from 7.5 miles per hour to 8.2 miles per hour over the course of the month.
For reference, on September 12, the windiest day of the year, the daily average wind speed is 9.1 miles per hour, while on March 6, the calmest day of the year, the daily average wind speed is 5.6 miles per hour.
Average Wind Speed in June
Wind Direction in June
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 Campo Grande 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 June
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 Campo Grande are rapidly increasing during June, increasing by 590°F, from 8,532°F to 9,122°F, over the course of the month.
Growing Degree Days in June
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 Campo Grande is essentially constant during June, remaining within 0.1 kWh of 4.3 kWh throughout.
The lowest average daily incident shortwave solar energy during June is 4.3 kWh on June 14.
Average Daily Incident Shortwave Solar Energy in June
For the purposes of this report, the geographical coordinates of Campo Grande are -20.443 deg latitude, -54.646 deg longitude, and 1,857 ft elevation.
The topography within 2 miles of Campo Grande contains only modest variations in elevation, with a maximum elevation change of 348 feet and an average elevation above sea level of 1,888 feet. Within 10 miles contains only modest variations in elevation (1,293 feet). Within 50 miles also contains very significant variations in elevation (1,886 feet).
The area within 2 miles of Campo Grande is covered by shrubs (84%), within 10 miles by shrubs (40%) and cropland (25%), and within 50 miles by cropland (35%) and trees (27%).
This report illustrates the typical weather in Campo Grande 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, Campo Grande International Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Campo Grande.
At a distance of 4 kilometers from Campo Grande, 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 Campo Grande 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.
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.