Average Weather in June in Hāwī Hawaii, United States
Daily high temperatures are around 83°F, rarely falling below 80°F or exceeding 85°F.
Daily low temperatures are around 71°F, rarely falling below 68°F or exceeding 73°F.
For reference, on August 26, the hottest day of the year, temperatures in Hāwī typically range from 72°F to 85°F, while on January 20, the coldest day of the year, they range from 66°F to 79°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 Hāwī experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 28% throughout the month.
The clearest day of the month is June 17, with clear, mostly clear, or partly cloudy conditions 72% of the time.
For reference, on October 30, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 45%, while on August 8, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 77%.
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 Hāwī, the chance of a wet day over the course of June is essentially constant, remaining around 13% throughout.
For reference, the year's highest daily chance of a wet day is 27% on March 15, and its lowest chance is 11% on June 18.
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 Hāwī is gradually increasing, starting the month at 0.7 inches, when it rarely exceeds 1.7 inches or falls below -0.0 inches, and ending the month at 1.0 inches, when it rarely exceeds 2.5 inches or falls below -0.0 inches.
The lowest average 31-day accumulation is 0.6 inches on June 7.
Average Monthly Rainfall in June
Over the course of June in Hāwī, the length of the day is essentially constant. The shortest day of the month is June 1, with 13 hours, 17 minutes of daylight and the longest day is June 20, with 13 hours, 22 minutes of daylight.
Hours of Daylight and Twilight in June
The earliest sunrise of the month in Hāwī is 5:42 AM on June 6 and the latest sunrise is 4 minutes later at 5:46 AM on June 30.
The earliest sunset is 6:59 PM on June 1 and the latest sunset is 8 minutes later at 7:07 PM on June 30.
Daylight saving time is not observed in Hāwī during 2018.
For reference, on June 21, the longest day of the year, the Sun rises at 5:44 AM and sets 13 hours, 22 minutes later, at 7:05 PM, while on December 21, the shortest day of the year, it rises at 6:54 AM and sets 10 hours, 54 minutes later, at 5:48 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 Hāwī is increasing during June, rising from 68% to 78% over the course of the month.
For reference, on August 2, the muggiest day of the year, there are muggy conditions 88% of the time, while on February 18, the least muggy day of the year, there are muggy conditions 26% 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 Hāwī is increasing during June, increasing from 12.6 miles per hour to 14.0 miles per hour over the course of the month.
For reference, on June 27, the windiest day of the year, the daily average wind speed is 14.0 miles per hour, while on January 23, the calmest day of the year, the daily average wind speed is 10.0 miles per hour.
Average Wind Speed in June
Wind Direction in June
Hāwī 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 Hāwī is essentially constant during June, remaining around 78°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 Hāwī 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 Hāwī are rapidly increasing during June, increasing by 776°F, from 3,494°F to 4,270°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 Hāwī is essentially constant during June, remaining around 7.4 kWh throughout.
The highest average daily incident shortwave solar energy during June is 7.4 kWh on June 19.
Average Daily Incident Shortwave Solar Energy in June
For the purposes of this report, the geographical coordinates of Hāwī are 20.241 deg latitude, -155.834 deg longitude, and 440 ft elevation.
The topography within 2 miles of Hāwī contains very significant variations in elevation, with a maximum elevation change of 1,325 feet and an average elevation above sea level of 537 feet. Within 10 miles contains very significant variations in elevation (4,662 feet). Within 50 miles also contains extreme variations in elevation (13,825 feet).
The area within 2 miles of Hāwī is covered by cropland (44%), artificial surfaces (17%), trees (14%), and grassland (13%), within 10 miles by water (62%) and trees (11%), and within 50 miles by water (72%).
This report illustrates the typical weather in Hāwī 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 3 weather stations near enough to contribute to our estimation of the temperature and dew point in Hāwī.
For each station, the records are corrected for the elevation difference between that station and Hāwī 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 Hāwī is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Hāwī and a given station.
The stations contributing to this reconstruction are: Kona International Airport (58%, 61 kilometers, south); Bradshaw Army Airfield (12%, 61 kilometers, southeast); and Kahului Airport (30%, 96 kilometers, northwest).
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.