Average Weather in June in Baiyun China
Daily high temperatures increase by 8°F, from 81°F to 90°F, rarely falling below 70°F or exceeding 98°F.
Daily low temperatures increase by 7°F, from 63°F to 70°F, rarely falling below 55°F or exceeding 73°F.
For reference, on July 14, the hottest day of the year, temperatures in Baiyun typically range from 71°F to 92°F, while on January 23, the coldest day of the year, they range from 35°F to 54°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 Baiyun experiences gradually increasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy increasing from 73% to 79%. The highest chance of overcast or mostly cloudy conditions is 79% on June 21.
The clearest day of the month is June 1, with clear, mostly clear, or partly cloudy conditions 27% of the time.
For reference, on June 21, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 79%, while on December 5, 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 Baiyun, the chance of a wet day over the course of June is very rapidly decreasing, starting the month at 48% and ending it at 36%.
For reference, the year's highest daily chance of a wet day is 50% on June 10, and its lowest chance is 11% on December 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 Baiyun is rapidly decreasing, starting the month at 7.5 inches, when it rarely exceeds 10.6 inches or falls below 3.6 inches, and ending the month at 5.7 inches, when it rarely exceeds 9.9 inches or falls below 2.5 inches.
The highest average 31-day accumulation is 7.6 inches on June 8.
Average Monthly Rainfall in June
Over the course of June in Baiyun, the length of the day is essentially constant. The shortest day of the month is June 1, with 13 hours, 40 minutes of daylight and the longest day is June 21, with 13 hours, 46 minutes of daylight.
Hours of Daylight and Twilight in June
The earliest sunrise of the month in Baiyun is 5:11 AM on June 10 and the latest sunrise is 4 minutes later at 5:15 AM on June 30.
The earliest sunset is 6:52 PM on June 1 and the latest sunset is 8 minutes later at 7:00 PM on June 30.
Daylight saving time is not observed in Baiyun during 2018.
For reference, on June 21, the longest day of the year, the Sun rises at 5:12 AM and sets 13 hours, 46 minutes later, at 6:59 PM, while on December 21, the shortest day of the year, it rises at 6:46 AM and sets 10 hours, 31 minutes later, at 5:17 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 Baiyun is very rapidly increasing during June, rising from 54% to 94% over the course of the month.
For reference, on July 12, the muggiest day of the year, there are muggy conditions 96% of the time, while on January 7, the least muggy day of the year, there are muggy conditions 0% 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 Baiyun is gradually increasing during June, increasing from 4.0 miles per hour to 4.5 miles per hour over the course of the month.
For reference, on October 12, the windiest day of the year, the daily average wind speed is 4.9 miles per hour, while on May 21, the calmest day of the year, the daily average wind speed is 3.9 miles per hour.
The highest daily average wind speed during June is 4.5 miles per hour on June 28.
Average Wind Speed in June
Wind Direction in June
Baiyun 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 Baiyun is increasing during June, rising by 5°F, from 74°F to 79°F, over the course of the month.
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).
The growing season in Baiyun typically lasts for 8.6 months (262 days), from around March 12 to around November 29, rarely starting before February 19 or after April 3, and rarely ending before November 5 or after December 21.
The month of June in Baiyun is reliably fully within the growing season.
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 Baiyun are rapidly increasing during June, increasing by 693°F, from 1,202°F to 1,895°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 Baiyun is gradually increasing during June, rising by 0.6 kWh, from 5.2 kWh to 5.8 kWh, over the course of the month.
Average Daily Incident Shortwave Solar Energy in June
For the purposes of this report, the geographical coordinates of Baiyun are 26.036 deg latitude, 118.906 deg longitude, and 2,034 ft elevation.
The topography within 2 miles of Baiyun contains large variations in elevation, with a maximum elevation change of 2,280 feet and an average elevation above sea level of 2,045 feet. Within 10 miles contains large variations in elevation (3,970 feet). Within 50 miles also contains extreme variations in elevation (5,955 feet).
The area within 2 miles of Baiyun is covered by trees (68%) and grassland (20%), within 10 miles by trees (75%) and grassland (13%), and within 50 miles by trees (66%) and grassland (12%).
This report illustrates the typical weather in Baiyun 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, Fuzhou Changle International Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Baiyun.
At a distance of 77 kilometers from Baiyun, 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 Baiyun 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.