Photo: ExoLabs

Monthly Cloud Cover

Do I need to pack my sunscreen? Find out what to expect with a map of the monthly cloud cover for the area you are visiting. The percentages shown indicate how many days of the month it is cloudy on average and come from the CHELSA project. The data is global and provided by our partners at ExoLabs.

Included in: Pro+

Cloud Cover

As a Pro+ user, you will find 'Monthly Cloud Cover' as a 'Style' option for both the Outdooractive map and the OpenStreetMap as part of your "Weather & Climate" information, which is accessed by selecting the 'Maps and trails' button at the bottom right of the map panel. You can activate it in almost all map views and use the data when planning your routes and trips.

The bar below allows you to view either the rolling monthly averages or the average for a specific month, which you can do simply by clicking on the bar.

Where the data comes from

The data we receive includes the monthly mean cloud cover as a percentage vertically above the observer. These percentages are based on a 30-year time span from 1981 to 2010. The dataset includes global coverage at a spatial resolution of 1 km.

For more information on the Chelsea 2.1 dataset, please visit CHELSA-BIOCLIM+ (only available in English).

CURRENT WEATHER INFORMATION

Current cloud cover worldwide as well as a 3-day forecast can be found in the "Weather & Climate" layer for both the Outdooractive map and OpenStreetMap. Again, this forms part of your "Weather & Climate" information and can be accessed by selecting the 'Maps and trails' button at the bottom right of the map panel.

Current weather as well as a 10-day forecast are also available on the detail page of any route, destination, or region.

Knowledge Page

Weather

The combined weather map from MetGIS shows cloud cover, rainfall, snowfall and temperatures.

Outdooractive Editors

ExoLabs

Linked to the University of Zurich, ExoLabs specializes in environmental monitoring. Using satellite data as well as weather and climate models, and modern machine learning techniques, ExoLabs is able to gain a comprehensive insight into the condition of our environment. This valuable information is then presented in a user-friendly format in order to facilitate informed and sustainable decision-making.