Average Weather in June in Jintan China
Daily high temperatures increase by 5°F, from 84°F to 89°F, rarely falling below 77°F or exceeding 94°F.
Daily low temperatures increase by 6°F, from 71°F to 77°F, rarely falling below 66°F or exceeding 80°F.
For reference, on July 23, the hottest day of the year, temperatures in Jintan typically range from 78°F to 92°F, while on January 19, the coldest day of the year, they range from 37°F to 51°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
Dallas, Texas, United States (7,796 miles away); Günyazı, Turkey (4,561 miles); and Āmol, Iran (3,678 miles) are the far-away foreign places with temperatures most similar to Jintan (view comparison).
The month of June in Jintan experiences rapidly increasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy increasing from 62% to 77%.
The clearest day of the month is June 1, with clear, mostly clear, or partly cloudy conditions 38% of the time.
For reference, on July 4, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 78%, while on October 22, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 73%.
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 Jintan, the chance of a wet day over the course of June is rapidly decreasing, starting the month at 47% and ending it at 41%.
For reference, the year's highest daily chance of a wet day is 51% on April 5, and its lowest chance is 14% on December 17.
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 Jintan is rapidly decreasing, starting the month at 8.7 inches, when it rarely exceeds 13.3 inches or falls below 5.0 inches, and ending the month at 7.1 inches, when it rarely exceeds 12.1 inches or falls below 2.9 inches.
The highest average 31-day accumulation is 8.9 inches on June 12.
Average Monthly Rainfall in June
Over the course of June in Jintan, the length of the day is essentially constant. The shortest day of the month is June 1, with 13 hours, 45 minutes of daylight and the longest day is June 21, with 13 hours, 52 minutes of daylight.
Hours of Daylight and Twilight in June
The earliest sunrise of the month in Jintan is 5:24 AM on June 9 and the latest sunrise is 4 minutes later at 5:28 AM on June 30.
The earliest sunset is 7:10 PM on June 1 and the latest sunset is 8 minutes later at 7:18 PM on June 30.
Daylight saving time is not observed in Jintan during 2020.
For reference, on June 20, the longest day of the year, the Sun rises at 5:25 AM and sets 13 hours, 52 minutes later, at 7:17 PM, while on December 21, the shortest day of the year, it rises at 7:05 AM and sets 10 hours, 25 minutes later, at 5:30 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 Jintan is rapidly increasing during June, rising from 85% to 100% over the course of the month.
For reference, on July 8, the muggiest day of the year, there are muggy conditions 100% of the time, while on December 30, the least muggy day of the year, there are muggy conditions 0% 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 Jintan is increasing during June, increasing from 6.4 miles per hour to 7.4 miles per hour over the course of the month.
For reference, on March 9, the windiest day of the year, the daily average wind speed is 7.7 miles per hour, while on August 13, the calmest day of the year, the daily average wind speed is 6.0 miles per hour.
Average Wind Speed in June
The hourly average wind direction in Jintan throughout June is predominantly from the south, with a peak proportion of 64% on June 30.
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).
The growing season in Jintan typically lasts for 10 months (305 days), from around February 12 to around December 13, rarely starting before January 22 or after March 6, and rarely ending before November 21 or after January 2.
The month of June in Jintan is reliably fully within the growing season.
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 Jintan are rapidly increasing during June, increasing by 847°F, from 1,632°F to 2,479°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 Jintan is essentially constant during June, remaining within 0.1 kWh of 5.4 kWh throughout.
Average Daily Incident Shortwave Solar Energy in June
For the purposes of this report, the geographical coordinates of Jintan are 27.272 deg latitude, 115.119 deg longitude, and 207 ft elevation.
The topography within 2 miles of Jintan contains significant variations in elevation, with a maximum elevation change of 538 feet and an average elevation above sea level of 194 feet. Within 10 miles contains significant variations in elevation (2,782 feet). Within 50 miles contains large variations in elevation (4,101 feet).
The area within 2 miles of Jintan is covered by cropland (34%), trees (33%), and water (17%), within 10 miles by trees (55%) and cropland (28%), and within 50 miles by trees (60%) and cropland (23%).
This report illustrates the typical weather in Jintan 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, Nanchang Changbei International Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Jintan.
At a distance of 193 kilometers from Jintan, further than our threshold of 150 kilometers, this station is deemed insufficiently nearby to be relied upon as our primary source for temperature and dew point records. Consequently, the station records are blended with interpolated values from NASA's MERRA-2 satellite-era reanalysis , and both are corrected for elevation differences according to the International Standard Atmosphere .
The weight assigned to the MERRA-2 value depends on the distance from Jintan to the nearest station, increasing from 0% at 150 kilometers to 100% at 200 kilometers. In this case, the MERRA-2 weight is 46%, making the weight assigned to the weather station 54%.
All 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 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.