Average Weather in Abra Pampa Argentina
In Abra Pampa, the wet season is comfortable and partly cloudy and the dry season is cool and mostly clear. Over the course of the year, the temperature typically varies from 26°F to 69°F and is rarely below 21°F or above 74°F.
Based on the tourism score, the best time of year to visit Abra Pampa for warm-weather activities is from mid October to late December.
The warm season lasts for 3.5 months, from October 9 to January 26, with an average daily high temperature above 66°F. The hottest day of the year is December 6, with an average high of 69°F and low of 44°F.
The cold season lasts for 2.3 months, from May 25 to August 3, with an average daily high temperature below 58°F. The coldest day of the year is July 13, with an average low of 26°F and high of 55°F.
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
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
In Abra Pampa, the average percentage of the sky covered by clouds experiences significant seasonal variation over the course of the year.
The clearer part of the year in Abra Pampa begins around March 24 and lasts for 8.1 months, ending around November 26. On August 30, the clearest day of the year, the sky is clear, mostly clear, or partly cloudy 79% of the time, and overcast or mostly cloudy 21% of the time.
The cloudier part of the year begins around November 26 and lasts for 3.9 months, ending around March 24. On January 10, the cloudiest day of the year, the sky is overcast or mostly cloudy 58% of the time, and clear, mostly clear, or partly cloudy 42% of the time.
Cloud Cover Categories
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. The chance of wet days in Abra Pampa varies very significantly throughout the year.
The wetter season lasts 4.4 months, from November 17 to March 29, with a greater than 31% chance of a given day being a wet day. The chance of a wet day peaks at 61% on January 9.
The drier season lasts 7.6 months, from March 29 to November 17. The smallest chance of a wet day is 2% on July 12.
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 in Abra Pampa changes throughout the year.
Rain alone is the most common for 9.1 months, from August 12 to May 17. The highest chance of a day with rain alone is 61% on January 9.
Mixed snow and rain is the most common for 2.4 months, from May 17 to June 24 and from July 8 to August 12. The highest chance of a day with mixed snow and rain is 3% on May 12.
Snow alone is the most common for 2.0 weeks, from June 24 to July 8. The highest chance of a day with snow alone is 1% on July 1.
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. Abra Pampa experiences extreme seasonal variation in monthly rainfall.
The rainy period of the year lasts for 7.2 months, from September 22 to April 29, with a sliding 31-day rainfall of at least 0.5 inches. The most rain falls during the 31 days centered around January 13, with an average total accumulation of 4.7 inches.
The rainless period of the year lasts for 4.8 months, from April 29 to September 22. The least rain falls around July 15, with an average total accumulation of 0.0 inches.
Average Monthly Rainfall
The sliding 31-day liquid-equivalent quantity of snowfall in Abra Pampa does not vary significantly over the course of the year, staying within 0.1 inches of 0.1 inches throughout.
Average Liquid-Equivalent Monthly Snowfall
The length of the day in Abra Pampa varies over the course of the year. In 2020, the shortest day is June 20, with 10 hours, 44 minutes of daylight; the longest day is December 21, with 13 hours, 32 minutes of daylight.
Hours of Daylight and Twilight
The earliest sunrise is at 6:29 AM on November 27, and the latest sunrise is 1 hour, 35 minutes later at 8:03 AM on July 4. The earliest sunset is at 6:45 PM on June 5, and the latest sunset is 1 hour, 28 minutes later at 8:13 PM on January 14.
Daylight saving time (DST) is not observed in Abra Pampa during 2020.
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 in Abra Pampa, 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
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 Abra Pampa experiences significant seasonal variation over the course of the year.
The windier part of the year lasts for 5.0 months, from May 22 to October 23, with average wind speeds of more than 8.1 miles per hour. The windiest day of the year is July 16, with an average hourly wind speed of 10.0 miles per hour.
The calmer time of year lasts for 7.0 months, from October 23 to May 22. The calmest day of the year is March 7, with an average hourly wind speed of 6.3 miles per hour.
Average Wind Speed
The predominant average hourly wind direction in Abra Pampa varies throughout the year.
The wind is most often from the north for 2.5 months, from February 4 to April 18 and for 2.2 months, from October 8 to December 14, with a peak percentage of 43% on March 25. The wind is most often from the west for 5.7 months, from April 18 to October 8, with a peak percentage of 72% on June 26. The wind is most often from the east for 1.6 months, from December 14 to February 4, with a peak percentage of 39% on January 1.
Best Time of Year to Visit
To characterize how pleasant the weather is in Abra Pampa 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 time of year to visit Abra Pampa for general outdoor tourist activities is from mid October to late December, with a peak score in the third week of November.
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 Abra Pampa for hot-weather activities is from mid November to mid December, with a peak score in the first week of December.
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).
The growing season in Abra Pampa typically lasts for 6.0 months (182 days), from around October 20 to around April 20, rarely starting before September 25 or after November 16, and rarely ending before April 1 or after May 8.
Time Spent in Various Temperature Bands and the Growing Season
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.
Based on growing degree days alone, the first spring blooms in Abra Pampa should appear around August 24, only rarely appearing before August 14 or after September 4.
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 significant seasonal variation over the course of the year.
The brighter period of the year lasts for 3.1 months, from October 7 to January 10, with an average daily incident shortwave energy per square meter above 8.1 kWh. The brightest day of the year is November 16, with an average of 8.8 kWh.
The darker period of the year lasts for 2.8 months, from May 6 to August 1, with an average daily incident shortwave energy per square meter below 5.8 kWh. The darkest day of the year is June 21, with an average of 5.1 kWh.
Average Daily Incident Shortwave Solar Energy
For the purposes of this report, the geographical coordinates of Abra Pampa are -22.720 deg latitude, -65.697 deg longitude, and 11,453 ft elevation.
The topography within 2 miles of Abra Pampa contains only modest variations in elevation, with a maximum elevation change of 328 feet and an average elevation above sea level of 11,447 feet. Within 10 miles contains only modest variations in elevation (2,480 feet). Within 50 miles contains large variations in elevation (12,789 feet).
The area within 2 miles of Abra Pampa is covered by bare soil (83%), within 10 miles by bare soil (78%), and within 50 miles by bare soil (44%) and sparse vegetation (18%).
This report illustrates the typical weather in Abra Pampa, 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 Abra Pampa.
For each station, the records are corrected for the elevation difference between that station and Abra Pampa 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 Abra Pampa is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Abra Pampa 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 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.