Climate and Average Weather Year Round in Arequipa Peru
The climate in Arequipa is comfortable and partly cloudy. Over the course of the year, the temperature typically varies from 48°F to 73°F and is rarely below 44°F or above 76°F.
Based on the tourism score, the best time of year to visit Arequipa for warm-weather activities is from early April to early December.
Climate in Arequipa
The temperature in Arequipa varies so little throughout the year that it is not entirely meaningful to discuss hot and cold seasons.
Average High and Low Temperature in Arequipa
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 in Arequipa
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 Arequipa, the average percentage of the sky covered by clouds experiences extreme seasonal variation over the course of the year.
The clearer part of the year in Arequipa begins around April 18 and lasts for 6.2 months, ending around October 23.
The clearest month of the year in Arequipa is July, during which on average the sky is clear, mostly clear, or partly cloudy 71% of the time.
The cloudier part of the year begins around October 23 and lasts for 5.8 months, ending around April 18.
The cloudiest month of the year in Arequipa is February, during which on average the sky is overcast or mostly cloudy 78% of the time.
Cloud Cover Categories in Arequipa
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 Arequipa varies throughout the year.
The wetter season lasts 2.4 months, from January 1 to March 13, with a greater than 6% chance of a given day being a wet day. The month with the most wet days in Arequipa is February, with an average of 3.2 days with at least 0.04 inches of precipitation.
The drier season lasts 9.6 months, from March 13 to January 1. The month with the fewest wet days in Arequipa is October, with an average of 0.0 days with at least 0.04 inches of precipitation.
Among wet days, we distinguish between those that experience rain alone, snow alone, or a mixture of the two. The month with the most days of rain alone in Arequipa is February, with an average of 3.2 days. Based on this categorization, the most common form of precipitation throughout the year is rain alone, with a peak probability of 13% on February 11.
Daily Chance of Precipitation in Arequipa
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. Arequipa experiences some seasonal variation in monthly rainfall.
The rainy period of the year lasts for 2.1 months, from January 9 to March 12, with a sliding 31-day rainfall of at least 0.5 inches. The month with the most rain in Arequipa is February, with an average rainfall of 0.7 inches.
The rainless period of the year lasts for 9.9 months, from March 12 to January 9. The month with the least rain in Arequipa is May, with an average rainfall of 0.0 inches.
Average Monthly Rainfall in Arequipa
The length of the day in Arequipa varies over the course of the year. In 2023, the shortest day is June 21, with 11 hours, 9 minutes of daylight; the longest day is December 21, with 13 hours, 7 minutes of daylight.
Hours of Daylight and Twilight in Arequipa
The earliest sunrise is at 5:03 AM on November 24, and the latest sunrise is 1 hour, 12 minutes later at 6:15 AM on July 8. The earliest sunset is at 5:20 PM on June 2, and the latest sunset is 1 hour, 5 minutes later at 6:25 PM on January 20.
Daylight saving time (DST) is not observed in Arequipa during 2023.
Sunrise & Sunset with Twilight in Arequipa
The figure below presents a compact representation of the sun's elevation (the angle of the sun above the horizon) and azimuth (its compass bearing) for every hour of every day in the reporting period. The horizontal axis is the day of the year and the vertical axis is the hour of the day. For a given day and hour of that day, the background color indicates the azimuth of the sun at that moment. The black isolines are contours of constant solar elevation.
Solar Elevation and Azimuth in Arequipa
The figure below presents a compact representation of key lunar data for 2023. The horizontal axis is the day, the vertical axis is the hour of the day, and the colored areas indicate when the moon is above the horizon. The vertical gray bars (new Moons) and blue bars (full Moons) indicate key Moon phases.
Moon Rise, Set & Phases in Arequipa
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 Arequipa, 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 in Arequipa
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 Arequipa does not vary significantly over the course of the year, remaining within 0.5 miles per hour of 6.2 miles per hour throughout.
Average Wind Speed in Arequipa
The predominant average hourly wind direction in Arequipa varies throughout the year.
The wind is most often from the north for 6.0 months, from April 17 to October 16, with a peak percentage of 52% on June 28. The wind is most often from the south for 6.0 months, from October 16 to April 17, with a peak percentage of 57% on January 1.
Wind Direction in Arequipa
Arequipa 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 water temperature experiences some seasonal variation over the course of the year.
The time of year with warmer water lasts for 2.8 months, from January 1 to March 28, with an average temperature above 71°F. The month of the year in Arequipa with the warmest water is February, with an average temperature of 73°F.
The time of year with cooler water lasts for 3.8 months, from June 24 to October 18, with an average temperature below 64°F. The month of the year in Arequipa with the coolest water is August, with an average temperature of 62°F.
Average Water Temperature in Arequipa
To characterize how pleasant the weather is in Arequipa 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 Arequipa for general outdoor tourist activities is from early April to early December, with a peak score in the first week of September.
Tourism Score in Arequipa
The beach/pool score favors clear, rainless days with perceived temperatures between 75°F and 90°F. Based on this score, the best times of year to visit Arequipa for hot-weather activities are from late April to late May and from early August to late October, with a peak score in the third week of September.
Beach/Pool Score in Arequipa
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 in Arequipa 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 Arequipa
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 in Arequipa
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 2.5 months, from October 3 to December 19, with an average daily incident shortwave energy per square meter above 7.6 kWh. The brightest month of the year in Arequipa is November, with an average of 8.1 kWh.
The darker period of the year lasts for 2.7 months, from May 6 to July 30, with an average daily incident shortwave energy per square meter below 6.1 kWh. The darkest month of the year in Arequipa is June, with an average of 5.6 kWh.
Average Daily Incident Shortwave Solar Energy in Arequipa
For the purposes of this report, the geographical coordinates of Arequipa are -16.399 deg latitude, -71.535 deg longitude, and 7,726 ft elevation.
The topography within 2 miles of Arequipa contains very significant variations in elevation, with a maximum elevation change of 866 feet and an average elevation above sea level of 7,771 feet. Within 10 miles contains very significant variations in elevation (9,888 feet). Within 50 miles also contains extreme variations in elevation (20,358 feet).
The area within 2 miles of Arequipa is covered by artificial surfaces (93%), within 10 miles by bare soil (32%) and artificial surfaces (21%), and within 50 miles by bare soil (58%) and sparse vegetation (20%).
This report illustrates the typical weather in Arequipa, 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 Arequipa.
For each station, the records are corrected for the elevation difference between that station and Arequipa 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 Arequipa is computed as the weighted average of the individual contributions from each station, with weights proportional to the inverse of the distance between Arequipa and a given station.
The stations contributing to this reconstruction are:
To get a sense of how much these sources agree with each other, you can view a comparison of Arequipa and the stations that contribute to our estimates of its temperature history and climate. Please note that each source's contribution is adjusted for elevation and the relative change present in the MERRA-2 data.
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 airports and weather stations are provided by AskGeo.com .
Maps are © OpenStreetMap contributors.
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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