Fall Weather in Thailand

We show the fall climate in Thailand by comparing the average fall weather in 3 representative places: Bangkok, Phuket, and Chiang Mai.

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Average Fall High and Low Temperature in Thailand

Average Fall High and Low Temperature in ThailandSepOctNov60°F60°F65°F65°F70°F70°F75°F75°F80°F80°F85°F85°F90°F90°F95°F95°F100°F100°F105°F105°FSummerWinter79787774919089897687878775747064848281791021019893789998969695BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The daily average high and low air temperature at 2 meters above the ground. The thin dotted lines are the corresponding perceived temperatures.

Bangkok

Average Hourly Temperature in Bangkok in the fallSepOctNov12 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMSummerWintercomfortablewarmwarmhot

Phuket

Average Hourly Temperature in Phuket in the fallSepOctNov12 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMSummerWinterwarmhothot

Chiang Mai

Average Hourly Temperature in Chiang Mai in the fallSepOctNov12 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMSummerWintercoolcomfortablecomfortablewarmhot
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 average hourly temperature, color coded into bands. The shaded overlays indicate night and civil twilight.

Chance of Clearer Skies in the Fall in Thailand

Chance of Clearer Skies in the Fall in ThailandSepOctNov0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%SummerWinter91328431423214662BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The percentage of time the sky is clear, mostly clear, or partly cloudy (i.e., less than 60% of the sky is covered by clouds).

Daily Chance of Precipitation in the Fall in Thailand

Daily Chance of Precipitation in the Fall in ThailandSepOctNov0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%SummerWinter626832761424521BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The percentage of days in which precipitation is observed, excluding trace quantities.

Average Monthly Rainfall in the Fall in Thailand

Average Monthly Rainfall in the Fall in ThailandSepOctNov0 in0 in2 in2 in4 in4 in6 in6 in8 in8 in10 in10 in12 in12 in14 in14 inSummerWinter6.99.03.80.611.412.48.64.77.65.22.3BangkokBangkokPhuketPhuket
The average rainfall accumulated over the course of a sliding 31-day period centered on the day in question.

Hours of Daylight in the Fall in Thailand

Hours of Daylight in the Fall in ThailandSepOctNov0 hr0 hr4 hr4 hr8 hr8 hr12 hr12 hr16 hr16 hr20 hr20 hr24 hr24 hrSummerWinter12.412.011.611.4BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The number of hours during which the Sun is at least partly above the horizon.

Chance of Muggy Conditions in the Fall in Thailand

Chance of Muggy Conditions in the Fall in ThailandSepOctNov0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%SummerWinter100100937610099937537BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The percentage of time that is muggy, oppressive, or miserable (i.e., a dew point greater than 65°F).

Average Wind Speed in the Fall in Thailand

Average Wind Speed in the Fall in ThailandSepOctNov0 mph0 mph1 mph1 mph2 mph2 mph3 mph3 mph4 mph4 mph5 mph5 mph6 mph6 mph7 mph7 mph8 mph8 mph9 mph9 mph10 mph10 mphSummerWinter6.55.05.96.98.77.77.32.12.12.42.5BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The average of mean hourly wind speeds at 10 meters above the ground.

Tourism Score in the Fall in Thailand

Tourism Score in the Fall in ThailandSepOctNov00224466881010SummerWinter2.52.43.75.14.23.24.16.17.3BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The tourism score, which favors clear, rainless days with perceived temperatures between 65°F and 80°F.

Beach/Pool Score in the Fall in Thailand

Beach/Pool Score in the Fall in ThailandSepOctNov00224466881010SummerWinter3.93.75.36.64.45.44.96.0BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The beach/pool score, which favors clear, rainless days with perceived temperatures between 75°F and 90°F.

Growing Season in the Fall in Thailand

Growing Season in the Fall in ThailandSepOctNov0%0%20%20%40%40%60%60%80%80%100%100%SummerWinterBangkokBangkokPhuketPhuketChiang MaiChiang Mai
The percentage chance that a given day is within the growing season, defined 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).

Growing Degree Days in the Fall in Thailand

Growing Degree Days in the Fall in ThailandSepOctNov7,000°F7,000°F8,000°F8,000°F9,000°F9,000°F10,000°F10,000°F11,000°F11,000°F12,000°F12,000°FSummerWinterBangkokBangkokPhuketPhuketChiang MaiChiang Mai
The average growing degree days accumulated over the course of the fall, where growing degree days are defined as the integral of warmth above a base temperature (50°F in this case).

Average Water Temperature in the Fall in Thailand

Average Water Temperature in the Fall in ThailandSepOctNov81°F81°F82°F82°F83°F83°F84°F84°F85°F85°FSummerWinter8585858384848484BangkokBangkokPhuketPhuket
The daily average wide-area surface water temperature.

Average Daily Incident Shortwave Solar Energy in the Fall in Thailand

Average Daily Incident Shortwave Solar Energy in the Fall in ThailandSepOctNov0.0 kWh0.0 kWh0.5 kWh0.5 kWh1.0 kWh1.0 kWh1.5 kWh1.5 kWh2.0 kWh2.0 kWh2.5 kWh2.5 kWh3.0 kWh3.0 kWh3.5 kWh3.5 kWh4.0 kWh4.0 kWh4.5 kWh4.5 kWh5.0 kWh5.0 kWh5.5 kWh5.5 kWh6.0 kWh6.0 kWhSummerWinter4.44.34.95.14.14.24.65.15.14.9BangkokBangkokPhuketPhuketChiang MaiChiang Mai
The average daily shortwave solar energy reaching the ground per square meter.

This report illustrates the typical weather for Bangkok, Phuket, and Chiang Mai, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.

The details of the data sources used on this page vary between places and are discussed in detail on each place's dedicated page:

Disclaimer

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.

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