Average Weather in June in Gustavia St. Barthélemy
Daily high temperatures are around 87°F, rarely falling below 85°F or exceeding 89°F.
Daily low temperatures are around 79°F, rarely falling below 77°F or exceeding 81°F.
For reference, on September 15, the hottest day of the year, temperatures in Gustavia typically range from 80°F to 88°F, while on January 21, the coldest day of the year, they range from 75°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
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 June in Gustavia experiences rapidly decreasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy decreasing from 68% to 55%.
The clearest day of the month is June 30, with clear, mostly clear, or partly cloudy conditions 45% of the time.
For reference, on May 30, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 69%, while on January 12, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 82%.
Cloud Cover Categories in June
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 Gustavia, the chance of a wet day over the course of June is decreasing, starting the month at 16% and ending it at 12%.
For reference, the year's highest daily chance of a wet day is 24% on September 7, and its lowest chance is 2% on January 16.
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 Gustavia is decreasing, starting the month at 1.3 inches, when it rarely exceeds 3.5 inches, and ending the month at 0.7 inches, when it rarely exceeds 2.3 inches.
The lowest average 31-day accumulation is 0.7 inches on June 29.
Average Monthly Rainfall in June
Over the course of June in Gustavia, the length of the day is essentially constant. The shortest day of the month is June 1, with 13 hours, 8 minutes of daylight and the longest day is June 21, with 13 hours, 12 minutes of daylight.
Hours of Daylight and Twilight in June
The earliest sunrise of the month in Gustavia is 5:35 AM on June 6 and the latest sunrise is 4 minutes later at 5:39 AM on June 30.
The earliest sunset is 6:43 PM on June 1 and the latest sunset is 7 minutes later at 6:50 PM on June 30.
Daylight saving time is not observed in Gustavia during 2019.
For reference, on June 21, the longest day of the year, the Sun rises at 5:37 AM and sets 13 hours, 12 minutes later, at 6:49 PM, while on December 22, the shortest day of the year, it rises at 6:38 AM and sets 11 hours, 4 minutes later, at 5:41 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 Gustavia is essentially constant during June, remaining around 100% throughout.
For reference, on May 28, the muggiest day of the year, there are muggy conditions 100% of the time, while on March 7, the least muggy day of the year, there are muggy conditions 87% of the time.
Humidity Comfort Levels in June
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 Gustavia is increasing during June, increasing from 14.6 miles per hour to 16.5 miles per hour over the course of the month.
For reference, on July 12, the windiest day of the year, the daily average wind speed is 16.8 miles per hour, while on October 9, the calmest day of the year, the daily average wind speed is 12.3 miles per hour.
Average Wind Speed in June
The hourly average wind direction in Gustavia throughout June is predominantly from the east, with a peak proportion of 99% on June 30.
Wind Direction in June
Gustavia is located near a large body of water (e.g., ocean, sea, or large lake). This section reports on the wide-area average surface temperature of that water.
The average surface water temperature in Gustavia is essentially constant during June, remaining around 82°F throughout.
Average Water Temperature 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 Gustavia 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
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 Gustavia are very rapidly increasing during June, increasing by 947°F, from 4,414°F to 5,360°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 Gustavia is essentially constant during June, remaining within 0.1 kWh of 5.9 kWh throughout.
The lowest average daily incident shortwave solar energy during June is 5.8 kWh on June 6.
Average Daily Incident Shortwave Solar Energy in June
For the purposes of this report, the geographical coordinates of Gustavia are 17.896 deg latitude, -62.850 deg longitude, and 0 ft elevation.
The topography within 2 miles of Gustavia contains significant variations in elevation, with a maximum elevation change of 650 feet and an average elevation above sea level of 81 feet. Within 10 miles contains significant variations in elevation (915 feet). Within 50 miles contains very significant variations in elevation (3,451 feet).
The area within 2 miles of Gustavia is covered by water (77%), within 10 miles by water (99%), and within 50 miles by water (98%).
This report illustrates the typical weather in Gustavia 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 are 2 weather stations near enough to contribute to our estimation of the temperature and dew point in Gustavia.
For each station, the records are corrected for the elevation difference between that station and Gustavia according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations.
The estimated value at Gustavia is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Gustavia and a given station.
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.