Average Weather in Baiyun China
In Baiyun, the summers are short, hot, oppressive, wet, and overcast and the winters are cold and partly cloudy. Over the course of the year, the temperature typically varies from 35°F to 92°F and is rarely below 24°F or above 100°F.
Based on the tourism score, the best time of year to visit Baiyun for warm-weather activities is from late August to mid October.
The hot season lasts for 2.9 months, from June 13 to September 11, with an average daily high temperature above 84°F. The hottest day of the year is July 14, with an average high of 92°F and low of 71°F.
The cool season lasts for 3.2 months, from December 1 to March 8, with an average daily high temperature below 62°F. The coldest day of the year is January 23, with an average low of 35°F and high of 54°F.
Average High and Low Temperature
The figure below shows you a compact characterization of the entire year of hourly average temperatures. The horizontal axis is the day of the year, the vertical axis is the hour of the day, and the color is the average temperature for that hour and day.
Average Hourly Temperature
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
In Baiyun, the average percentage of the sky covered by clouds experiences extreme seasonal variation over the course of the year.
The clearer part of the year in Baiyun begins around September 17 and lasts for 6.2 months, ending around March 24. On December 5, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 73% of the time, and overcast or mostly cloudy 27% of the time.
The cloudier part of the year begins around March 24 and lasts for 5.8 months, ending around September 17. On June 21, the cloudiest day of the year, the sky is overcast or mostly cloudy 79% of the time, and clear, mostly clear, or partly cloudy 21% of the time.
Cloud Cover Categories
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. The chance of wet days in Baiyun varies significantly throughout the year.
The wetter season lasts 6.8 months, from February 23 to September 16, with a greater than 30% chance of a given day being a wet day. The chance of a wet day peaks at 50% on June 10.
The drier season lasts 5.2 months, from September 16 to February 23. The smallest chance of a wet day is 11% on December 18.
Among wet days, we distinguish between those that experience rain alone, snow alone, or a mixture of the two. Based on this categorization, the most common form of precipitation throughout the year is rain alone, with a peak probability of 50% on June 10.
Daily Chance of Precipitation
To show variation within the months and not just the monthly totals, we show the rainfall accumulated over a sliding 31-day period centered around each day of the year. Baiyun experiences extreme seasonal variation in monthly rainfall.
Rain falls throughout the year in Baiyun. The most rain falls during the 31 days centered around June 8, with an average total accumulation of 7.6 inches.
The least rain falls around December 27, with an average total accumulation of 1.1 inches.
Average Monthly Rainfall
The sliding 31-day liquid-equivalent quantity of snowfall in Baiyun does not vary significantly over the course of the year, staying within 0.1 inches of 0.1 inches throughout.
Average Liquid-Equivalent Monthly Snowfall
The length of the day in Baiyun varies over the course of the year. In 2019, the shortest day is December 22, with 10 hours, 31 minutes of daylight; the longest day is June 21, with 13 hours, 46 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 5:11 AM on June 10, and the latest sunrise is 1 hour, 41 minutes later at 6:53 AM on January 13. The earliest sunset is at 5:12 PM on November 30, and the latest sunset is 1 hour, 48 minutes later at 7:00 PM on July 2.
Daylight saving time (DST) is not observed in Baiyun during 2019.
Sunrise & Sunset with Twilight
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.
Baiyun experiences extreme seasonal variation in the perceived humidity.
The muggier period of the year lasts for 5.1 months, from May 1 to October 4, during which time the comfort level is muggy, oppressive, or miserable at least 24% of the time. The muggiest day of the year is July 12, with muggy conditions 96% of the time.
The least muggy day of the year is January 16, when muggy conditions are essentially unheard of.
Humidity Comfort Levels
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 Baiyun does not vary significantly over the course of the year, remaining within 0.5 miles per hour of 4.4 miles per hour throughout.
Average Wind Speed
The predominant average hourly wind direction in Baiyun varies throughout the year.
The wind is most often from the east for 3.9 months, from February 10 to June 6 and for 2.4 months, from August 17 to October 29, with a peak percentage of 56% on September 18. The wind is most often from the south for 2.4 months, from June 6 to August 17, with a peak percentage of 64% on July 5. The wind is most often from the north for 3.3 months, from October 29 to February 10, with a peak percentage of 60% on January 1.
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 water temperature experiences significant seasonal variation over the course of the year.
The time of year with warmer water lasts for 4.0 months, from June 12 to October 11, with an average temperature above 76°F. The day of the year with the warmest water is August 26, with an average temperature of 81°F.
The time of year with cooler water lasts for 3.4 months, from December 21 to April 1, with an average temperature below 61°F. The day of the year with the coolest water is February 4, with an average temperature of 56°F.
Average Water Temperature
Best Time of Year to Visit
To characterize how pleasant the weather is in Baiyun throughout the year, we compute two travel scores.
The tourism score favors clear, rainless days with perceived temperatures between 65°F and 80°F. Based on this score, the best time of year to visit Baiyun for general outdoor tourist activities is from late August to mid October, with a peak score in the last week of September.
The beach/pool score favors clear, rainless days with perceived temperatures between 75°F and 90°F. Based on this score, the best time of year to visit Baiyun for hot-weather activities is from early July to early September, with a peak score in the first week of August.
For each hour between 8:00 AM and 9:00 PM of each day in the analysis period (1980 to 2016), independent scores are computed for perceived temperature, cloud cover, and total precipitation. Those scores are combined into a single hourly composite score, which is then aggregated into days, averaged over all the years in the analysis period, and smoothed.
Our cloud cover score is 10 for fully clear skies, falling linearly to 9 for mostly clear skies, and to 1 for fully overcast skies.
Our precipitation score, which is based on the three-hour precipitation centered on the hour in question, is 10 for no precipitation, falling linearly to 9 for trace precipitation, and to 0 for 0.04 inches of precipitation or more.
Our tourism temperature score is 0 for perceived temperatures below 50°F, rising linearly to 9 for 65°F, to 10 for 75°F, falling linearly to 9 for 80°F, and to 1 for 90°F or hotter.
Our beach/pool temperature score is 0 for perceived temperatures below 65°F, rising linearly to 9 for 75°F, to 10 for 82°F, falling linearly to 9 for 90°F, and to 1 for 100°F or hotter.
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.
Time Spent in Various Temperature Bands and the Growing Season
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.
Based on growing degree days alone, the first spring blooms in Baiyun should appear around February 16, only rarely appearing before February 4 or after March 6.
Growing Degree Days
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 experiences some seasonal variation over the course of the year.
The brighter period of the year lasts for 2.0 months, from June 18 to August 18, with an average daily incident shortwave energy per square meter above 5.4 kWh. The brightest day of the year is July 10, with an average of 5.9 kWh.
The darker period of the year lasts for 3.2 months, from November 11 to February 19, with an average daily incident shortwave energy per square meter below 3.9 kWh. The darkest day of the year is January 8, with an average of 3.4 kWh.
Average Daily Incident Shortwave Solar Energy
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, 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.