Average Weather on June 3 in Xiwanzi China
On June 3, the temperature in Xiwanzi typically ranges from 50°F to 67°F and is rarely below 42°F or above 78°F.
For reference, on July 28, the hottest day of the year, temperatures in Xiwanzi typically range from 58°F to 76°F, while on January 15, the coldest day of the year, they range from 1°F to 19°F.
The coolest time of the day is from 12:30 AM to 7:00 AM, with the coldest at 4:45 AM, at which time the temperature is below 54°F three days out of four, and below 57°F nine days out of ten.
The warmest time of the day is from 11:00 AM to 6:45 PM, with the hottest at 2:45 PM, at which time the temperature is above 63°F three days out of four, and above 56°F nine days out of ten.
The day has gained half its heat by 8:30 AM and lost it again by 9:00 PM.
Average Temperature on June 3
The figure below shows you a compact characterization of the range of temperatures experienced on June 3 throughout the historical record. The horizontal axis is the time of day and the colored stacked areas indicate the percentage of hours spent in various temperature bands.
Temperature Bands on June 3
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
Edmonton, Canada (5,299 miles away); Swift Current, Canada (5,621 miles); and Coleraine, Minnesota, United States (6,096 miles) are the far-away foreign places with temperatures most similar to Xiwanzi (view comparison).
Compared to June 3 (excluding 30 days before and after), September 3 has the most similar daily average high and low temperatures.
In Xiwanzi on June 3, the average percentage of the sky covered by clouds does not show significant systematic variation over the course of the day, with the percentage of time that the sky is overcast or mostly cloudy remaining about 42% throughout the day.
For reference, on June 17, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 46%, while on December 25, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 77%.
Cloud Cover Categories on June 3
0% clear 20% mostly clear 40% partly cloudy 60% mostly cloudy 80% overcast 100%
On average, there is a 20% chance that more than 0.04 inches of total precipitation will fall in Xiwanzi throughout the day on June 3, of which 99% is expected to be rain alone, 0% to be snow alone, and 1% to be a mixture of snow and rain.
For reference, the year's highest daily chance of precipitation is 35% on July 30, and its lowest chance is 0% on December 15.
For those 20% of years with precipitation on June 3, the chart below shows when throughout the day that precipitation is more or less likely to occur, excluding hourly accumulations of less than 0.01 inches. If precipitation were equally likely throughout the day, all hours would report 4.2% (100% divided by 24 hours).
Precipitation is most likely between 1 PM and 2 PM, and least likely between 11 PM and 12 AM.
Hourly Share of Precipitation on June 3
In Xiwanzi on Wednesday, June 3, 2020, the Sun rises at 4:48 AM and sets 14 hours, 58 minutes later, at 7:46 PM. Solar noon is at 12:17 PM.
For reference, on June 20, the longest day of the year, the Sun rises at 4:46 AM and sets 15 hours, 7 minutes later, at 7:54 PM, while on December 21, the shortest day of the year, it rises at 7:40 AM and sets 9 hours, 14 minutes later, at 4:53 PM.
Civil twilight, the period before the Sun has risen or after the Sun has set during which time it is possible to engage in most outdoor activities without artificial lighting, begins and ends 33 minutes before sunrise and after sunset, at 4:15 AM and 8:19 PM respectively.
Nautical twilight, during which time it is possible to clearly discern the horizon (e.g., for navigational purposes), begins and ends 1 hour, 15 minutes before sunrise and after sunset, at 3:33 AM and 9:01 PM respectively.
Astronomical twilight, outside of which it is possible to make the most sensitive of astronomical observations, begins and ends 2 hours, 4 minutes before sunrise and after sunset, at 2:44 AM and 9:49 PM respectively.
Solar Elevation on June 3, 2020
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.
Muggy conditions are essentially unheard-of in Xiwanzi on June 3.
Humidity Comfort Levels on June 3
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 Xiwanzi on June 3 varies throughout the day, with a daily average of 9.2 miles per hour.
The windiest time of day is around 2:45 PM, with an average hourly wind speed of 12.4 miles per hour, mostly staying between 8.9 miles per hour and 15.6 miles per hour, and rarely falling below 5.5 miles per hour or exceeding 19.8 miles per hour.
The calmest time of day is around 2:15 AM, with an average hourly wind speed of 6.5 miles per hour, mostly staying between 4.7 miles per hour and 7.8 miles per hour, and rarely falling below 3.1 miles per hour or exceeding 10.4 miles per hour.
For reference, on December 24, the windiest day of the year, the daily average wind speed is 12.5 miles per hour, while on August 15, the calmest day of the year, the daily average wind speed is 6.5 miles per hour.
Wind Speed on June 3
Over the entire course of June 3 in Xiwanzi, the hourly average wind direction, in order of prevalence, is from the south (35%), north (33%), west (25%), and east (7%).
Wind Direction on June 3
Shortwave Solar Power
This section discusses the incident shortwave solar power 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 peak incident shortwave solar power per square meter is 0.82 kilowatts at around 12:15 PM.
In contrast, the corresponding value on May 27, the brightest day of the year, is 0.83 kilowatts at around 11:15 AM. The corresponding value on December 18, the darkest day of the year, is 0.42 kilowatts at around 11:15 AM.
Shortwave Solar Power on June 3
For the purposes of this report, the geographical coordinates of Xiwanzi are 40.971 deg latitude, 115.272 deg longitude, and 4,593 ft elevation.
The topography within 2 miles of Xiwanzi contains very significant variations in elevation, with a maximum elevation change of 1,526 feet and an average elevation above sea level of 4,507 feet. Within 10 miles contains very significant variations in elevation (3,648 feet). Within 50 miles also contains extreme variations in elevation (5,738 feet).
The area within 2 miles of Xiwanzi is covered by trees (54%), cropland (26%), and grassland (11%), within 10 miles by trees (58%) and cropland (21%), and within 50 miles by cropland (34%) and trees (33%).
This report illustrates the typical weather in Xiwanzi, 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, Beijing Capital International Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Xiwanzi.
At a distance of 149 kilometers from Xiwanzi, 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 Xiwanzi 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 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.