The average hourly temperature, color coded into bands. The shaded overlays indicate night and civil twilight.
Chance of Clearer Skies on June 13
The percentage of time the sky is clear, mostly clear, or partly cloudy (i.e., less than 60% of the sky is covered by clouds).
Hourly Share of Precipitation on June 13
The share of the day's precipitation attributable to each hour of the day, excluding trace quantities.
Solar Elevation on June 13
Elevation of the center of the Sun above (positive) or below (negative) the horizon.
Chance of Muggy Conditions on June 13
The percentage of time that is muggy, oppressive, or miserable (i.e., a dew point greater than 65°F).
Average Wind Speed on June 13
The average of mean hourly wind speeds at 10 meters above the ground.
Average Daily Incident Shortwave Solar Energy on June 13
Average incident shortwave solar power reaching the ground per square meter.
This report illustrates the typical weather for Loma Larga and Punata, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.
The details of the data sources used on this page vary between places and are discussed in detail on each place's dedicated page:
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.