Average Weather in November in Chiang Mai Thailand
Daily high temperatures decrease by 2°F, from 87°F to 84°F, rarely falling below 79°F or exceeding 91°F.
Daily low temperatures decrease by 5°F, from 70°F to 64°F, rarely falling below 58°F or exceeding 74°F.
For reference, on April 12, the hottest day of the year, temperatures in Chiang Mai typically range from 74°F to 97°F, while on January 8, the coldest day of the year, they range from 59°F to 84°F.
Average High and Low Temperature in November
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on November. 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 November
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
The month of November in Chiang Mai experiences rapidly decreasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy decreasing from 53% to 38%.
The clearest day of the month is November 30, with clear, mostly clear, or partly cloudy conditions 62% of the time.
For reference, on August 1, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 93%, while on February 20, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 75%.
Cloud Cover Categories in November
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. In Chiang Mai, the chance of a wet day over the course of November is very rapidly decreasing, starting the month at 20% and ending it at 5%.
For reference, the year's highest daily chance of a wet day is 61% on September 3, and its lowest chance is 2% on January 28.
Probability of Precipitation in November
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 November in Chiang Mai is rapidly decreasing, starting the month at 2.2 inches, when it rarely exceeds 4.4 inches or falls below 0.5 inches, and ending the month at 0.6 inches, when it rarely exceeds 1.8 inches.
Average Monthly Rainfall in November
Over the course of November in Chiang Mai, the length of the day is gradually decreasing. From the start to the end of the month, the length of the day decreases by 21 minutes, implying an average daily decrease of 44 seconds, and weekly decrease of 5 minutes, 7 seconds.
The shortest day of the month is November 30, with 11 hours, 6 minutes of daylight and the longest day is November 1, with 11 hours, 27 minutes of daylight.
Hours of Daylight and Twilight in November
The earliest sunrise of the month in Chiang Mai is 6:24 AM on November 1 and the latest sunrise is 16 minutes later at 6:39 AM on November 30.
The latest sunset is 5:50 PM on November 1 and the earliest sunset is 6 minutes earlier at 5:45 PM on November 24.
Daylight saving time is not observed in Chiang Mai during 2020.
For reference, on June 20, the longest day of the year, the Sun rises at 5:47 AM and sets 13 hours, 16 minutes later, at 7:03 PM, while on December 21, the shortest day of the year, it rises at 6:52 AM and sets 11 hours, 0 minutes later, at 5:52 PM.
Sunrise & Sunset with Twilight in November
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 Chiang Mai is very rapidly decreasing during November, falling from 74% to 37% over the course of the month.
For reference, on August 10, the muggiest day of the year, there are muggy conditions 94% of the time, while on January 6, the least muggy day of the year, there are muggy conditions 4% of the time.
Humidity Comfort Levels in November
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 Chiang Mai is essentially constant during November, remaining within 0.1 miles per hour of 2.4 miles per hour throughout.
For reference, on March 5, the windiest day of the year, the daily average wind speed is 3.0 miles per hour, while on September 14, the calmest day of the year, the daily average wind speed is 2.1 miles per hour.
Average Wind Speed in November
The hourly average wind direction in Chiang Mai throughout November is predominantly from the east, with a peak proportion of 51% on November 30.
Wind Direction in November
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 in Chiang Mai 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 in November
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.
The average accumulated growing degree days in Chiang Mai are rapidly increasing during November, increasing by 734°F, from 8,734°F to 9,468°F, over the course of the month.
Growing Degree Days in November
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 Chiang Mai is essentially constant during November, remaining within 0.1 kWh of 5.0 kWh throughout.
Average Daily Incident Shortwave Solar Energy in November
For the purposes of this report, the geographical coordinates of Chiang Mai are 18.790 deg latitude, 98.985 deg longitude, and 1,027 ft elevation.
The topography within 2 miles of Chiang Mai contains only modest variations in elevation, with a maximum elevation change of 148 feet and an average elevation above sea level of 1,027 feet. Within 10 miles contains only modest variations in elevation (4,573 feet). Within 50 miles also contains extreme variations in elevation (7,723 feet).
The area within 2 miles of Chiang Mai is covered by artificial surfaces (95%), within 10 miles by cropland (59%) and trees (26%), and within 50 miles by trees (78%) and cropland (19%).
This report illustrates the typical weather in Chiang Mai 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 are 2 weather stations near enough to contribute to our estimation of the temperature and dew point in Chiang Mai.
For each station, the records are corrected for the elevation difference between that station and Chiang Mai according to the International Standard Atmosphere , and by the relative change present in the MERRA-2 satellite-era reanalysis between the two locations.
The estimated value at Chiang Mai is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Chiang Mai and a given station.
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 airports 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.