Average Weather at José María Córdova International Airport Colombia
The climate at José María Córdova International Airport is comfortable and overcast. Over the course of the year, the temperature typically varies from 54°F to 72°F and is rarely below 51°F or above 75°F.
Based on the tourism score, the best times of year to visit José María Córdova International Airport for warm-weather activities are for the entire month of July and from mid December to mid March.
The temperature at José María Córdova International Airport varies so little throughout the year that it is not entirely meaningful to discuss hot and cold seasons.
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
At José María Córdova International Airport, the average percentage of the sky covered by clouds experiences mild seasonal variation over the course of the year.
The clearer part of the year at José María Córdova International Airport begins around December 12 and lasts for 2.7 months, ending around March 2. On January 13, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 22% of the time, and overcast or mostly cloudy 78% of the time.
The cloudier part of the year begins around March 2 and lasts for 9.3 months, ending around December 12. On May 6, the cloudiest day of the year, the sky is overcast or mostly cloudy 95% of the time, and clear, mostly clear, or partly cloudy 5% of the time.
Cloud Cover Categories
A wet day is one with at least 0.04 inches of liquid or liquid-equivalent precipitation. The chance of wet days at José María Córdova International Airport varies significantly throughout the year.
The wetter season lasts 8.5 months, from March 24 to December 9, with a greater than 68% chance of a given day being a wet day. The chance of a wet day peaks at 86% on October 25.
The drier season lasts 3.5 months, from December 9 to March 24. The smallest chance of a wet day is 50% on January 22.
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 86% on October 25.
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. José María Córdova International Airport experiences extreme seasonal variation in monthly rainfall.
Rain falls throughout the year at José María Córdova International Airport. The most rain falls during the 31 days centered around May 7, with an average total accumulation of 10.3 inches.
The least rain falls around January 24, with an average total accumulation of 3.8 inches.
Average Monthly Rainfall
The length of the day at José María Córdova International Airport does not vary substantially over the course of the year, staying within 28 minutes of 12 hours throughout. In 2018, the shortest day is December 21, with 11 hours, 46 minutes of daylight; the longest day is June 21, with 12 hours, 29 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 5:45 AM on May 24, and the latest sunrise is 34 minutes later at 6:19 AM on February 1. The earliest sunset is at 5:41 PM on November 12, and the latest sunset is 40 minutes later at 6:21 PM on July 16.
Daylight saving time (DST) is not observed at José María Córdova International Airport during 2018.
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 José María Córdova International 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, remaining a virtually constant 0% throughout.
Humidity Comfort Levels
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 José María Córdova International Airport does not vary significantly over the course of the year, remaining within 0.2 miles per hour of 1.4 miles per hour throughout.
Average Wind Speed
The predominant average hourly wind direction at José María Córdova International Airport is from the east throughout the year.
Best Time of Year to Visit
To characterize how pleasant the weather is at José María Córdova International 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 times of year to visit José María Córdova International Airport for general outdoor tourist activities are for the entire month of July and from mid December to mid March, with a peak score in the third 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 José María Córdova International Airport for hot-weather activities is from mid June to late August, with a peak score in the last week of July.
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 José María Córdova International 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 2.2 months, from June 22 to August 30, with an average daily incident shortwave energy per square meter above 5.1 kWh. The brightest day of the year is July 28, with an average of 5.4 kWh.
The darker period of the year lasts for 2.0 months, from October 6 to December 7, with an average daily incident shortwave energy per square meter below 4.1 kWh. The darkest day of the year is October 30, with an average of 3.8 kWh.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of José María Córdova International Airport are 6.165 deg latitude, -75.423 deg longitude, and 6,988 ft elevation.
The topography within 2 miles of José María Córdova International Airport contains very significant variations in elevation, with a maximum elevation change of 850 feet and an average elevation above sea level of 7,011 feet. Within 10 miles contains very significant variations in elevation (4,528 feet). Within 50 miles also contains extreme variations in elevation (11,703 feet).
The area within 2 miles of José María Córdova International Airport is covered by trees (56%), grassland (28%), and cropland (11%), within 10 miles by trees (69%) and grassland (16%), and within 50 miles by trees (72%) and grassland (12%).
This report illustrates the typical weather at José María Córdova 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
José María Córdova 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.There are no other weather stations in our network within 200 kilometers of this location. Consequently, in the case of missing or erroneous measurements from this station, we fall back on NASA's MERRA-2 modern-era reanalysis , adjusted according to typical seasonal and diurnal differences between this station and the wide-area MERRA-2 reconstructed values.
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.