Average Weather in May in Xiaoshi China
Daily high temperatures increase by 10°F, from 64°F to 74°F, rarely falling below 53°F or exceeding 83°F.
Daily low temperatures increase by 11°F, from 46°F to 57°F, rarely falling below 38°F or exceeding 62°F.
For reference, on August 3, the hottest day of the year, temperatures in Xiaoshi typically range from 68°F to 80°F, while on January 17, the coldest day of the year, they range from -0°F to 20°F.
Average High and Low Temperature in May
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on May. 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 May
The month of May in Xiaoshi experiences essentially constant cloud cover, with the percentage of time that the sky is overcast or mostly cloudy remaining about 45% throughout the month. The highest chance of overcast or mostly cloudy conditions is 47% on May 2.
The clearest day of the month is May 30, with clear, mostly clear, or partly cloudy conditions 57% of the time.
For reference, on May 2, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 47%, while on January 22, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 73%.
Cloud Cover Categories in May
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. In Xiaoshi, the chance of a wet day over the course of May is increasing, starting the month at 22% and ending it at 28%.
For reference, the year's highest daily chance of a wet day is 46% on July 24, and its lowest chance is 1% on January 26.
Probability of Precipitation in May
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 May in Xiaoshi is increasing, starting the month at 1.9 inches, when it rarely exceeds 3.5 inches or falls below 0.8 inches, and ending the month at 2.7 inches, when it rarely exceeds 4.2 inches or falls below 1.2 inches.
Average Monthly Rainfall in May
Over the course of May in Xiaoshi, the length of the day is increasing. From the start to the end of the month, the length of the day increases by 57 minutes, implying an average daily increase of 1 minute, 54 seconds, and weekly increase of 13 minutes, 18 seconds.
The shortest day of the month is May 1, with 13 hours, 59 minutes of daylight and the longest day is May 31, with 14 hours, 56 minutes of daylight.
Hours of Daylight and Twilight in May
The latest sunrise of the month in Xiaoshi is 4:41 AM on May 1 and the earliest sunrise is 28 minutes earlier at 4:13 AM on May 31.
The earliest sunset is 6:40 PM on May 1 and the latest sunset is 29 minutes later at 7:09 PM on May 31.
Daylight saving time is not observed in Xiaoshi during 2018.
For reference, on June 21, the longest day of the year, the Sun rises at 4:10 AM and sets 15 hours, 10 minutes later, at 7:20 PM, while on December 21, the shortest day of the year, it rises at 7:05 AM and sets 9 hours, 12 minutes later, at 4:17 PM.
Sunrise & Sunset with Twilight in May
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 Xiaoshi is essentially constant during May, remaining within 1% of 1% throughout.
For reference, on July 30, the muggiest day of the year, there are muggy conditions 80% of the time, while on November 1, the least muggy day of the year, there are muggy conditions 0% of the time.
Humidity Comfort Levels in May
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 Xiaoshi is decreasing during May, decreasing from 9.7 miles per hour to 8.3 miles per hour over the course of the month.
For reference, on April 17, the windiest day of the year, the daily average wind speed is 10.1 miles per hour, while on August 28, the calmest day of the year, the daily average wind speed is 6.0 miles per hour.
Average Wind Speed in May
Wind Direction in May
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 Xiaoshi typically lasts for 5.9 months (179 days), from around April 17 to around October 13, rarely starting before April 2 or after May 3, and rarely ending before September 29 or after October 28.
The month of May in Xiaoshi is more likely than not fully within the growing season, with the chance that a given day is in the growing season increasing from 87% to 100% over the course of the month.
Time Spent in Various Temperature Bands and the Growing Season in May
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 Xiaoshi are increasing during May, increasing by 317°F, from 114°F to 431°F, over the course of the month.
Growing Degree Days in May
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 Xiaoshi is gradually increasing during May, rising by 0.6 kWh, from 5.8 kWh to 6.5 kWh, over the course of the month.
The highest average daily incident shortwave solar energy during May is 6.5 kWh on May 31.
Average Daily Incident Shortwave Solar Energy in May
For the purposes of this report, the geographical coordinates of Xiaoshi are 41.297 deg latitude, 124.121 deg longitude, and 896 ft elevation.
The topography within 2 miles of Xiaoshi contains very significant variations in elevation, with a maximum elevation change of 1,375 feet and an average elevation above sea level of 846 feet. Within 10 miles contains very significant variations in elevation (3,238 feet). Within 50 miles contains large variations in elevation (5,230 feet).
The area within 2 miles of Xiaoshi is covered by trees (53%), artificial surfaces (22%), cropland (14%), and water (12%), within 10 miles by trees (85%), and within 50 miles by trees (75%) and cropland (16%).
This report illustrates the typical weather in Xiaoshi 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, Shenyang Taoxian International Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Xiaoshi.
At a distance of 65 kilometers from Xiaoshi, 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 Xiaoshi 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.