Average Weather on July 17 at Chiang Mai International Airport Thailand
On July 17, the temperature at Chiang Mai International Airport typically ranges from 76°F to 87°F and is rarely below 74°F or above 92°F.
For reference, on April 13, the hottest day of the year, temperatures at Chiang Mai International Airport 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.
The coolest time of the day is from 11:30 PM to 7:45 AM, with the coldest at 5:45 AM, at which time the temperature is below 77°F three days out of four, and below 78°F nine days out of ten.
The warmest time of the day is from 11:30 AM to 5:45 PM, with the hottest at 2:45 PM, at which time the temperature is above 84°F three days out of four, and above 81°F nine days out of ten.
The day has gained half its heat by 9:30 AM and lost it again by 7:30 PM.
Average Temperature on July 17
The figure below shows you a compact characterization of the range of temperatures experienced on July 17 throughout the historical record. The horizontal axis is the time of day and the colored stacked areas indicate the percentage of hours spent in various temperature bands.
Temperature Bands on July 17
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
Compared to July 17 (excluding 30 days before and after), August 18 has the most similar daily average high and low temperatures.
The average percentage of the sky covered by clouds at Chiang Mai International Airport on July 17 varies over the course of the day.
The cloudiest time of day is around 3:30 AM, at which time the chance of overcast or mostly cloudy conditions is 96%.
The clearest time of day is around 10:30 AM, at which time the chance of clear, mostly clear, or partly cloudy conditions is 10%.
For reference, on August 3, 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 on July 17
0% clear 20% mostly clear 40% partly cloudy 60% mostly cloudy 80% overcast 100%
On average, there is a 48% chance that more than 0.04 inches of total precipitation will fall at Chiang Mai International Airport throughout the day on July 17, all of which can be expected to be rain.
For reference, the year's highest daily chance of precipitation is 61% on September 3, and its lowest chance is 2% on January 28.
For those 48% of years with precipitation on July 17, the chart below shows when throughout the day that precipitation is more or less likely to occur, excluding hourly accumulations of less than 0.01 inches. If precipitation were equally likely throughout the day, all hours would report 4.2% (100% divided by 24 hours).
Precipitation is most likely between 1 PM and 2 PM, and least likely between 6 AM and 7 AM.
Hourly Share of Precipitation on July 17
At Chiang Mai International Airport on Wednesday, July 17, 2019, the Sun rises at 5:55 AM and sets 13 hours, 8 minutes later, at 7:04 PM. Solar noon is at 12:30 PM.
For reference, on June 21, 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 22, the shortest day of the year, it rises at 6:52 AM and sets 11 hours, 0 minutes later, at 5:52 PM.
Civil twilight, the period before the Sun has risen or after the Sun has set during which time it is possible to engage in most outdoor activities without artificial lighting, begins and ends 24 minutes before sunrise and after sunset, at 5:32 AM and 7:28 PM respectively.
Nautical twilight, during which time it is possible to clearly discern the horizon (e.g., for navigational purposes), begins and ends 52 minutes before sunrise and after sunset, at 5:03 AM and 7:56 PM respectively.
Astronomical twilight, outside of which it is possible to make the most sensitive of astronomical observations, begins and ends 1 hour, 21 minutes before sunrise and after sunset, at 4:34 AM and 8:25 PM respectively.
Solar Elevation on July 17, 2019
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.
At Chiang Mai International Airport on July 17, the chance of muggy conditions does not change significantly over the course of the day, remaining around 93% throughout.
Humidity Comfort Levels on July 17
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 Chiang Mai International Airport on July 17 varies throughout the day, with a daily average of 2.6 miles per hour.
The windiest time of day is around 12:15 PM, with an average hourly wind speed of 3.6 miles per hour, mostly staying between 2.8 miles per hour and 4.3 miles per hour, and rarely falling below 2.1 miles per hour or exceeding 5.1 miles per hour.
The calmest time of day is around 5:30 AM, with an average hourly wind speed of 1.9 miles per hour, mostly staying between 1.6 miles per hour and 2.1 miles per hour, and rarely falling below 1.4 miles per hour or exceeding 2.5 miles per hour.
For reference, on March 6, the windiest day of the year, the daily average wind speed is 3.0 miles per hour, while on September 15, the calmest day of the year, the daily average wind speed is 2.1 miles per hour.
Wind Speed on July 17
Over the entire course of July 17 at Chiang Mai International Airport, the hourly average wind direction, in order of prevalence, is from the west (55%), south (44%), east (1%), and north (0%).
Wind Direction on July 17
Shortwave Solar Power
This section discusses the incident shortwave solar power 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 peak incident shortwave solar power per square meter is 0.66 kilowatts at around 12:15 PM.
In contrast, the corresponding value on March 27, the brightest day of the year, is 0.91 kilowatts at around 11:15 AM. The corresponding value on August 26, the darkest day of the year, is 0.65 kilowatts at around 11:15 AM.
Shortwave Solar Power on July 17
For the purposes of this report, the geographical coordinates of Chiang Mai International Airport are 18.767 deg latitude, 98.967 deg longitude, and 1,024 ft elevation.
The topography within 2 miles of Chiang Mai International Airport contains only modest variations in elevation, with a maximum elevation change of 472 feet and an average elevation above sea level of 1,034 feet. Within 10 miles contains only modest variations in elevation (4,593 feet). Within 50 miles also contains extreme variations in elevation (7,733 feet).
The area within 2 miles of Chiang Mai International Airport is covered by cropland (53%) and artificial surfaces (43%), within 10 miles by cropland (56%) and trees (30%), and within 50 miles by trees (78%) and cropland (19%).
This report illustrates the typical weather at Chiang Mai International 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
Chiang Mai International 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 Tables of the Sun, Moon and Planets , 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.