Average Weather at Surat Thani Airport Thailand
At Surat Thani Airport, the summers are short, hot, and overcast; the winters are short, warm, and mostly cloudy; and it is oppressive and wet year round. Over the course of the year, the temperature typically varies from 71°F to 93°F and is rarely below 67°F or above 97°F.
Based on the beach/pool score, the best time of year to visit Surat Thani Airport for hot-weather activities is from mid December to mid March.
The hot season lasts for 2.1 months, from March 11 to May 15, with an average daily high temperature above 91°F. The hottest day of the year is April 16, with an average high of 93°F and low of 75°F.
The cool season lasts for 2.4 months, from October 31 to January 12, with an average daily high temperature below 86°F. The coldest day of the year is January 25, with an average low of 71°F and high of 87°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
Granada, Nicaragua (10,952 miles away); Maturín, Venezuela (10,665 miles); and Pacatuba, Brazil (9,528 miles) are the far-away foreign places with temperatures most similar to Surat Thani Airport (view comparison).
At Surat Thani Airport, the average percentage of the sky covered by clouds experiences significant seasonal variation over the course of the year.
The clearer part of the year at Surat Thani Airport begins around November 27 and lasts for 3.9 months, ending around March 23. On February 8, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 44% of the time, and overcast or mostly cloudy 56% of the time.
The cloudier part of the year begins around March 23 and lasts for 8.1 months, ending around November 27. On August 22, the cloudiest day of the year, the sky is overcast or mostly cloudy 94% of the time, and clear, mostly clear, or partly cloudy 6% 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 at Surat Thani Airport varies very significantly throughout the year.
The wetter season lasts 7.5 months, from April 22 to December 7, with a greater than 39% chance of a given day being a wet day. The chance of a wet day peaks at 68% on September 27.
The drier season lasts 4.5 months, from December 7 to April 22. The smallest chance of a wet day is 9% on February 19.
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 68% on September 27.
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. Surat Thani Airport experiences extreme seasonal variation in monthly rainfall.
Rain falls throughout the year at Surat Thani Airport. The most rain falls during the 31 days centered around September 26, with an average total accumulation of 11.2 inches.
The least rain falls around February 18, with an average total accumulation of 1.0 inches.
Average Monthly Rainfall
The length of the day at Surat Thani Airport does not vary substantially over the course of the year, staying within 39 minutes of 12 hours throughout. In 2020, the shortest day is December 21, with 11 hours, 36 minutes of daylight; the longest day is June 21, with 12 hours, 39 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 6:02 AM on May 28, and the latest sunrise is 42 minutes later at 6:44 AM on January 29. The earliest sunset is at 5:59 PM on November 14, and the latest sunset is 48 minutes later at 6:47 PM on July 13.
Daylight saving time (DST) is not observed at Surat Thani Airport during 2020.
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.
The perceived humidity level at Surat Thani Airport, as measured by the percentage of time in which the humidity comfort level is muggy, oppressive, or miserable, does not vary significantly over the course of the year, staying within 1% of 99% throughout.
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 at Surat Thani Airport experiences mild seasonal variation over the course of the year.
The windier part of the year lasts for 3.3 months, from November 4 to February 13, with average wind speeds of more than 5.0 miles per hour. The windiest day of the year is December 14, with an average hourly wind speed of 6.3 miles per hour.
The calmer time of year lasts for 8.7 months, from February 13 to November 4. The calmest day of the year is April 18, with an average hourly wind speed of 3.8 miles per hour.
Average Wind Speed
The predominant average hourly wind direction at Surat Thani Airport varies throughout the year.
The wind is most often from the west for 5.7 months, from April 29 to October 19, with a peak percentage of 92% on August 15. The wind is most often from the east for 6.3 months, from October 19 to April 29, with a peak percentage of 85% on January 1.
Surat Thani Airport 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 some seasonal variation over the course of the year.
The time of year with warmer water lasts for 2.2 months, from March 30 to June 7, with an average temperature above 86°F. The day of the year with the warmest water is April 25, with an average temperature of 86°F.
The time of year with cooler water lasts for 2.1 months, from December 2 to February 6, with an average temperature below 83°F. The day of the year with the coolest water is January 1, with an average temperature of 82°F.
Average Water Temperature
Best Time of Year to Visit
To characterize how pleasant the weather is at Surat Thani Airport 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 Surat Thani Airport for general outdoor tourist activities is from mid December to late February, with a peak score in the first week of January.
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 Surat Thani Airport for hot-weather activities is from mid December to mid March, with a peak score in the first week of February.
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).
Temperatures at Surat Thani Airport are sufficiently warm year round that it is not entirely meaningful to discuss the growing season in these terms. We nevertheless include the chart below as an illustration of the distribution of temperatures experienced throughout the year.
Time Spent in Various Temperature Bands and the Growing Season
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.
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 2.1 months, from January 27 to March 29, with an average daily incident shortwave energy per square meter above 6.0 kWh. The brightest day of the year is February 28, with an average of 6.5 kWh.
The darker period of the year lasts for 6.4 months, from May 12 to November 23, with an average daily incident shortwave energy per square meter below 4.5 kWh. The darkest day of the year is June 29, with an average of 4.0 kWh.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of Surat Thani Airport are 9.133 deg latitude, 99.136 deg longitude, and 33 ft elevation.
The topography within 2 miles of Surat Thani Airport is essentially flat, with a maximum elevation change of 95 feet and an average elevation above sea level of 34 feet. Within 10 miles is essentially flat (1,424 feet). Within 50 miles contains very significant variations in elevation (5,095 feet).
The area within 2 miles of Surat Thani Airport is covered by shrubs (43%), artificial surfaces (41%), and cropland (17%), within 10 miles by cropland (74%), and within 50 miles by cropland (40%) and trees (37%).
This report illustrates the typical weather at Surat Thani Airport, 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
Surat Thani Airport has a weather station that reported reliably enough during the analysis period that we have included it in our network. When available, historical temperature and dew point measurements are taken directly from this weather station. These records are obtained from NOAA's Integrated Surface Hourly data set, falling back on ICAO METAR records as required.
In the case of missing or erroneous measurements from this station, we fall back on records from nearby stations, adjusted according to typical seasonal and diurnal intra-station differences. For a given day of the year and hour of the day, the fallback station is selected to minimize the prediction error over the years for which there are measurements for both stations.
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.