Climate and Average Weather Year Round in Xiongzhou ChinaIn Xiongzhou, the summers are hot, oppressive, wet, and overcast and the winters are short, cold, and mostly clear. Over the course of the year, the temperature typically varies from 43°F to 93°F and is rarely below 35°F or above 98°F. Based on the tourism score, the best time of year to visit Xiongzhou for warm-weather activities is from late September to early November. Average Temperature in XiongzhouThe hot season lasts for 3.6 months, from May 31 to September 17, with an average daily high temperature above 85°F. The hottest month of the year in Xiongzhou is July, with an average high of 92°F and low of 79°F. The cool season lasts for 3.0 months, from December 4 to March 2, with an average daily high temperature below 62°F. The coldest month of the year in Xiongzhou is January, with an average low of 43°F and high of 55°F.
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. Biloxi, United States (8,315 miles away) and Saint Simons Island, United States (8,423 miles) are the far-away foreign places with temperatures most similar to Xiongzhou (view comparison). CloudsIn Xiongzhou, 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 Xiongzhou begins around September 15 and lasts for 6.9 months, ending around April 12. The clearest month of the year in Xiongzhou is December, during which on average the sky is clear, mostly clear, or partly cloudy 73% of the time. The cloudier part of the year begins around April 12 and lasts for 5.1 months, ending around September 15. The cloudiest month of the year in Xiongzhou is June, during which on average the sky is overcast or mostly cloudy 78% of the time.
PrecipitationA wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. The chance of wet days in Xiongzhou varies significantly throughout the year. The wetter season lasts 6.6 months, from February 19 to September 7, with a greater than 31% chance of a given day being a wet day. The month with the most wet days in Xiongzhou is May, with an average of 15.3 days with at least 0.04 inches of precipitation. The drier season lasts 5.4 months, from September 7 to February 19. The month with the fewest wet days in Xiongzhou is December, with an average of 3.8 days with at least 0.04 inches of precipitation. Among wet days, we distinguish between those that experience rain alone, snow alone, or a mixture of the two. The month with the most days of rain alone in Xiongzhou is May, with an average of 15.3 days. Based on this categorization, the most common form of precipitation throughout the year is rain alone, with a peak probability of 51% on June 9.
RainfallTo 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. Xiongzhou experiences extreme seasonal variation in monthly rainfall. Rain falls throughout the year in Xiongzhou. The month with the most rain in Xiongzhou is May, with an average rainfall of 8.9 inches. The month with the least rain in Xiongzhou is December, with an average rainfall of 1.6 inches.
SunThe length of the day in Xiongzhou varies over the course of the year. In 2024, the shortest day is December 21, with 10 hours, 35 minutes of daylight; the longest day is June 21, with 13 hours, 42 minutes of daylight.
The earliest sunrise is at 5:32 AM on June 9, and the latest sunrise is 1 hour, 38 minutes later at 7:09 AM on January 14. The earliest sunset is at 5:32 PM on November 29, and the latest sunset is 1 hour, 44 minutes later at 7:16 PM on July 2. Daylight saving time (DST) is not observed in Xiongzhou during 2024. The figure below presents a compact representation of the sun's elevation (the angle of the sun above the horizon) and azimuth (its compass bearing) for every hour of every day in the reporting period. The horizontal axis is the day of the year and the vertical axis is the hour of the day. For a given day and hour of that day, the background color indicates the azimuth of the sun at that moment. The black isolines are contours of constant solar elevation. MoonThe figure below presents a compact representation of key lunar data for 2024. The horizontal axis is the day, the vertical axis is the hour of the day, and the colored areas indicate when the moon is above the horizon. The vertical gray bars (new Moons) and blue bars (full Moons) indicate key Moon phases. HumidityWe 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. Xiongzhou experiences extreme seasonal variation in the perceived humidity. The muggier period of the year lasts for 6.3 months, from April 7 to October 17, during which time the comfort level is muggy, oppressive, or miserable at least 25% of the time. The month with the most muggy days in Xiongzhou is July, with 30.7 days that are muggy or worse. The month with the fewest muggy days in Xiongzhou is January, with 0.1 days that are muggy or worse.
WindThis 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 Xiongzhou experiences mild seasonal variation over the course of the year. The windier part of the year lasts for 7.7 months, from September 19 to May 10, with average wind speeds of more than 6.6 miles per hour. The windiest month of the year in Xiongzhou is March, with an average hourly wind speed of 7.5 miles per hour. The calmer time of year lasts for 4.3 months, from May 10 to September 19. The calmest month of the year in Xiongzhou is August, with an average hourly wind speed of 5.7 miles per hour.
The predominant average hourly wind direction in Xiongzhou varies throughout the year. The wind is most often from the south for 4.8 months, from March 28 to August 22, with a peak percentage of 73% on July 6. The wind is most often from the north for 7.2 months, from August 22 to March 28, with a peak percentage of 75% on January 1. Best Time of Year to VisitTo characterize how pleasant the weather is in Xiongzhou 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 Xiongzhou for general outdoor tourist activities is from late September to early November, with a peak score in the second week of October. Tourism Score in XiongzhouThe 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 Xiongzhou for hot-weather activities is from late August to early October, with a peak score in the third week of September. Beach/Pool Score in XiongzhouMethodologyFor 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. Growing SeasonDefinitions 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). While it does not do so every year, freezing temperatures are seen in Xiongzhou over some winters. The day least likely to be in the growing season is January 6, with a 68% chance. 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 Xiongzhou should appear around January 29, only rarely appearing before January 18 or after February 16. Solar EnergyThis 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 2.2 months, from June 12 to August 19, with an average daily incident shortwave energy per square meter above 5.5 kWh. The brightest month of the year in Xiongzhou is July, with an average of 5.8 kWh. The darker period of the year lasts for 3.1 months, from November 16 to February 19, with an average daily incident shortwave energy per square meter below 4.1 kWh. The darkest month of the year in Xiongzhou is January, with an average of 3.6 kWh.
TopographyFor the purposes of this report, the geographical coordinates of Xiongzhou are 25.117 deg latitude, 114.300 deg longitude, and 390 ft elevation. The topography within 2 miles of Xiongzhou contains only modest variations in elevation, with a maximum elevation change of 203 feet and an average elevation above sea level of 432 feet. Within 10 miles contains only modest variations in elevation (3,635 feet). Within 50 miles also contains extreme variations in elevation (4,944 feet). The area within 2 miles of Xiongzhou is covered by artificial surfaces (38%), cropland (29%), and trees (21%), within 10 miles by trees (53%) and cropland (22%), and within 50 miles by trees (76%) and cropland (10%). Data SourcesThis report illustrates the typical weather in Xiongzhou, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016. Temperature and Dew PointThere is only a single weather station, Ganzhou Huangjin Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Xiongzhou. At a distance of 105 kilometers from Xiongzhou, 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 Xiongzhou 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. Other DataAll 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 airports and weather stations are provided by AskGeo.com . Maps are © OpenStreetMap contributors. DisclaimerThe 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. Please review our full terms contained on our Terms of Service page. |