Average Weather in October in Kankipādu India
Daily high temperatures are around 87°F, rarely falling below 82°F or exceeding 92°F.
Daily low temperatures decrease by 4°F, from 76°F to 71°F, rarely falling below 66°F or exceeding 77°F.
For reference, on May 8, the hottest day of the year, temperatures in Kankipādu typically range from 82°F to 104°F, while on December 29, the coldest day of the year, they range from 65°F to 86°F.
Average High and Low Temperature in October
The figure below shows you a compact characterization of the hourly average temperatures for the quarter of the year centered on October. 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 October
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 October in Kankipādu experiences very rapidly decreasing cloud cover, with the percentage of time that the sky is overcast or mostly cloudy decreasing from 80% to 56%.
The clearest day of the month is October 31, with clear, mostly clear, or partly cloudy conditions 44% of the time.
For reference, on June 23, the cloudiest day of the year, the chance of overcast or mostly cloudy conditions is 95%, while on February 14, the clearest day of the year, the chance of clear, mostly clear, or partly cloudy skies is 75%.
Cloud Cover Categories in October
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 Kankipādu, the chance of a wet day over the course of October is very rapidly decreasing, starting the month at 39% and ending it at 30%.
For reference, the year's highest daily chance of a wet day is 46% on July 29, and its lowest chance is 2% on February 4.
Probability of Precipitation in October
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 October in Kankipādu is gradually decreasing, starting the month at 6.3 inches, when it rarely exceeds 11.1 inches or falls below 2.0 inches, and ending the month at 5.8 inches, when it rarely exceeds 12.8 inches or falls below 0.8 inches.
The highest average 31-day accumulation is 6.5 inches on October 13.
Average Monthly Rainfall in October
Over the course of October in Kankipādu, the length of the day is gradually decreasing. From the start to the end of the month, the length of the day decreases by 26 minutes, implying an average daily decrease of 52 seconds, and weekly decrease of 6 minutes, 6 seconds.
The shortest day of the month is October 31, with 11 hours, 33 minutes of daylight and the longest day is October 1, with 11 hours, 59 minutes of daylight.
Hours of Daylight and Twilight in October
The earliest sunrise of the month in Kankipādu is 5:56 AM on October 1 and the latest sunrise is 7 minutes later at 6:03 AM on October 31.
The latest sunset is 5:56 PM on October 1 and the earliest sunset is 19 minutes earlier at 5:37 PM on October 31.
Daylight saving time is not observed in Kankipādu during 2018.
For reference, on June 21, the longest day of the year, the Sun rises at 5:35 AM and sets 13 hours, 7 minutes later, at 6:41 PM, while on December 21, the shortest day of the year, it rises at 6:30 AM and sets 11 hours, 9 minutes later, at 5:39 PM.
Sunrise & Sunset with Twilight in October
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 Kankipādu is decreasing during October, falling from 100% to 91% over the course of the month.
For reference, on July 22, the muggiest day of the year, there are muggy conditions 100% of the time, while on January 1, the least muggy day of the year, there are muggy conditions 37% of the time.
Humidity Comfort Levels in October
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 Kankipādu is gradually increasing during October, increasing from 5.9 miles per hour to 6.8 miles per hour over the course of the month.
For reference, on June 26, the windiest day of the year, the daily average wind speed is 11.0 miles per hour, while on October 8, the calmest day of the year, the daily average wind speed is 5.8 miles per hour.
The lowest daily average wind speed during October is 5.8 miles per hour on October 9.
Average Wind Speed in October
Wind Direction in October
Kankipādu 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 surface water temperature in Kankipādu is essentially constant during October, remaining within 1°F of 85°F throughout.
The highest average surface water temperature during October is 85°F on October 8.
Average Water Temperature in October
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 Kankipādu 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 October
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 Kankipādu are rapidly increasing during October, increasing by 893°F, from 8,604°F to 9,497°F, over the course of the month.
Growing Degree Days in October
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 Kankipādu is gradually increasing during October, rising by 0.6 kWh, from 4.3 kWh to 4.9 kWh, over the course of the month.
Average Daily Incident Shortwave Solar Energy in October
For the purposes of this report, the geographical coordinates of Kankipādu are 16.435 deg latitude, 80.767 deg longitude, and 49 ft elevation.
The topography within 2 miles of Kankipādu is essentially flat, with a maximum elevation change of 49 feet and an average elevation above sea level of 51 feet. Within 10 miles is essentially flat (722 feet). Within 50 miles contains significant variations in elevation (1,946 feet).
The area within 2 miles of Kankipādu is covered by cropland (83%) and trees (14%), within 10 miles by cropland (76%), and within 50 miles by cropland (71%) and water (14%).
This report illustrates the typical weather in Kankipādu year round, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.
Kankipādu is further than 200 kilometers from the nearest reliable weather station, so the weather-related data on this page were taken entirely from NASA's MERRA-2 satellite-era reanalysis . 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.
The temperature and dew point estimates are corrected for the difference between the reference elevation of the MERRA-2 grid cell and the elevation of Kankipādu, according to the International Standard Atmosphere .
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.
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.