Climate and Average Weather Year Round in Liaotang ChinaIn Liaotang, the summers are hot, oppressive, and mostly cloudy; the winters are short, cold, and partly cloudy; and it is wet year round. Over the course of the year, the temperature typically varies from 37°F to 93°F and is rarely below 28°F or above 97°F. Based on the tourism score, the best time of year to visit Liaotang for warm-weather activities is from mid September to mid October. Average Temperature in LiaotangThe hot season lasts for 3.4 months, from June 2 to September 15, with an average daily high temperature above 84°F. The hottest month of the year in Liaotang is July, with an average high of 92°F and low of 78°F. The cool season lasts for 3.0 months, from December 3 to March 1, with an average daily high temperature below 59°F. The coldest month of the year in Liaotang is January, with an average low of 37°F and high of 51°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. Plano, Texas, United States (7,801 miles away) and Lake Village, Arkansas, United States (7,927 miles) are the far-away foreign places with temperatures most similar to Liaotang (view comparison). CloudsIn Liaotang, 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 Liaotang begins around September 6 and lasts for 6.3 months, ending around March 14. The clearest month of the year in Liaotang is October, during which on average the sky is clear, mostly clear, or partly cloudy 70% of the time. The cloudier part of the year begins around March 14 and lasts for 5.7 months, ending around September 6. The cloudiest month of the year in Liaotang is July, during which on average the sky is overcast or mostly cloudy 74% 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 Liaotang varies significantly throughout the year. The wetter season lasts 6.3 months, from February 13 to August 22, with a greater than 33% chance of a given day being a wet day. The month with the most wet days in Liaotang is April, with an average of 15.0 days with at least 0.04 inches of precipitation. The drier season lasts 5.7 months, from August 22 to February 13. The month with the fewest wet days in Liaotang is December, with an average of 5.3 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 Liaotang is April, with an average of 15.0 days. Based on this categorization, the most common form of precipitation throughout the year is rain alone, with a peak probability of 51% on April 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. Liaotang experiences extreme seasonal variation in monthly rainfall. Rain falls throughout the year in Liaotang. The month with the most rain in Liaotang is June, with an average rainfall of 8.3 inches. The month with the least rain in Liaotang is December, with an average rainfall of 1.6 inches.
SnowfallAs with rainfall, we consider the snowfall accumulated over a sliding 31-day period centered around each day of the year. Liaotang experiences some seasonal variation in monthly snowfall. The snowy period of the year lasts for 1.1 months, from January 10 to February 13, with a sliding 31-day snowfall of at least 1.0 inches. The month with the most snow in Liaotang is January, with an average snowfall of 1.2 inches. The snowless period of the year lasts for 11 months, from February 13 to January 10. The least snow falls around July 20, with an average total accumulation of 0.0 inches.
SunThe length of the day in Liaotang varies over the course of the year. In 2024, the shortest day is December 21, with 10 hours, 25 minutes of daylight; the longest day is June 21, with 13 hours, 52 minutes of daylight.
The earliest sunrise is at 5:26 AM on June 10, and the latest sunrise is 1 hour, 47 minutes later at 7:12 AM on January 12. The earliest sunset is at 5:27 PM on November 30, and the latest sunset is 1 hour, 53 minutes later at 7:20 PM on July 1. Daylight saving time (DST) is not observed in Liaotang 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. Liaotang experiences extreme seasonal variation in the perceived humidity. The muggier period of the year lasts for 6.0 months, from April 15 to October 13, 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 Liaotang is July, with 30.9 days that are muggy or worse. The month with the fewest muggy days in Liaotang is January, with 0.0 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 Liaotang experiences mild seasonal variation over the course of the year. The windier part of the year lasts for 3.7 months, from January 24 to May 13, with average wind speeds of more than 6.3 miles per hour. The windiest month of the year in Liaotang is March, with an average hourly wind speed of 6.9 miles per hour. The calmer time of year lasts for 8.3 months, from May 13 to January 24. The calmest month of the year in Liaotang is August, with an average hourly wind speed of 5.7 miles per hour.
The predominant average hourly wind direction in Liaotang varies throughout the year. The wind is most often from the south for 3.7 months, from April 22 to August 14, with a peak percentage of 63% on July 9. The wind is most often from the north for 8.3 months, from August 14 to April 22, with a peak percentage of 61% on January 1. Best Time of Year to VisitTo characterize how pleasant the weather is in Liaotang 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 Liaotang for general outdoor tourist activities is from mid September to mid October, with a peak score in the first week of October. Tourism Score in LiaotangThe 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 Liaotang for hot-weather activities is from early August to late September, with a peak score in the first week of September. Beach/Pool Score in LiaotangMethodologyFor 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). The growing season in Liaotang typically lasts for 9.7 months (294 days), from around February 20 to around December 10, rarely starting before January 26 or after March 15, and rarely ending before November 21 or after December 31. 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 Liaotang should appear around February 18, only rarely appearing before February 4 or after March 8. 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 4.6 months, from May 4 to September 23, with an average daily incident shortwave energy per square meter above 5.1 kWh. The brightest month of the year in Liaotang is July, with an average of 5.6 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 3.6 kWh. The darkest month of the year in Liaotang is January, with an average of 3.2 kWh.
TopographyFor the purposes of this report, the geographical coordinates of Liaotang are 27.275 deg latitude, 114.593 deg longitude, and 272 ft elevation. The topography within 2 miles of Liaotang contains only modest variations in elevation, with a maximum elevation change of 282 feet and an average elevation above sea level of 289 feet. Within 10 miles contains only modest variations in elevation (2,287 feet). Within 50 miles contains large variations in elevation (6,204 feet). The area within 2 miles of Liaotang is covered by cropland (63%), trees (18%), and artificial surfaces (15%), within 10 miles by trees (47%) and cropland (30%), and within 50 miles by trees (61%) and cropland (21%). Data SourcesThis report illustrates the typical weather in Liaotang, 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, Changsha Huanghua International Airport, in our network suitable to be used as a proxy for the historical temperature and dew point records of Liaotang. At a distance of 169 kilometers from Liaotang, 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 Liaotang to the nearest station, increasing from 0% at 150 kilometers to 100% at 200 kilometers. In this case, the MERRA-2 weight is 28%, making the weight assigned to the weather station 72%. 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. |