✳weatherwhetherTHE SEASON ATLAS
A world of places.A season for each.
THE WORLD IN

A little warmer. A little further.

25-year averages
Preparing your world…
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Mean temperature°C
No dataMonthly mean, including day & night
25-year monthly averages
THE NOTES BEHIND THE MAP

25 years. A clearer picture.

Read the full data & methodology page → · Planning guide

Each color represents the average of the same calendar month from 2001 through 2025. All 25 years are included. This is a 25-year climatology, not a forecast or an official 30-year climate normal.

300months per variable
0.5°native spatial grid
4.1 MBall web climate layers

What the layers tell you

Read the map at the right scale

These are interpolated land-grid estimates, about 55 km north to south. Mountains, coastlines and small islands need more detailed data; some islands are absent. The oceans and Antarctica have no coverage. Grey means missing data, never zero.

Station availability and estimation uncertainty vary. This version does not display the source’s station-count or uncertainty layers. Sunshine hours and snowfall are not available in this subset. The “Best time to visit” layer is a customizable weather-fit estimate from these four monthly averages. It does not account for humidity, wind, extremes, sea conditions, activities, crowds or travel safety.

How the weather-fit score works

This is WeatherWhether’s transparent preference model, not a scientifically validated tourism index. It scores the 25-year monthly averages, not the reliability of individual trips. The scale stays fixed across places and months: 85–100 is a great fit, 70–84 a good fit, 50–69 mixed, and 0–49 poor.

Temperature: full credit within your chosen monthly-mean range (cool 10–20°C, mild 18–26°C, warm 24–30°C). The match decreases linearly outside that range, reaching zero 15°C beyond either edge. These are day-and-night means, not daytime highs.

Precipitation: less is preferred. The match is 100 ÷ (100 + the equivalent 30-day precipitation total), so 100 mm per 30 days earns half credit. Wet days: the match is one minus the fraction of days that are wet. Month lengths are normalized, including an average 28.24 days for February in 2001–2025. Cloud cover: clearer skies score higher; the match declines linearly from 1 for clear skies to 0.2 for full cloud cover.

Each match is between 0 and 1. The final score is 100 × temperaturewT × precipitationwP × wet-dayswW × cloud-coverwC, rounded to a whole number. This weighted geometric mean limits how much one favorable factor can compensate for an unfavorable one. A missing input leaves the score missing.

Factor weights, in percent
PreferenceTemp.Precip.Wet daysCloud
Balanced40252510
Less rain30303010
Clearer skies35202025

Precipitation and wet days are related; their combined weight intentionally reflects a preference for drier trips. Scores are not probabilities. Top months lists up to three months scoring at least 70; equal scores are ordered by calendar month. A place’s relative best month can still be a poor fit.

Sources & reuse

Place search: names and coordinates come from Photon using OpenStreetMap data (© OpenStreetMap contributors). Search text is sent to Photon only when you press Search or Enter. No device location is requested. Weather values still come from the surrounding 0.5° CRU grid cell; a region search shows one representative point, not an average for the whole region.

Climate data: Climatic Research Unit, University of East Anglia — CRU TS 4.10. Distributed under the Open Database License (ODbL) and Database Contents License. Preserve attribution and applicable share-alike terms when reusing this derived database.

Harris I, Osborn TJ, Jones P & Lister D (2020). Version 4 of the CRU TS Monthly High-Resolution Gridded Multivariate Climate Dataset. Scientific Data 7, 109. Read the paper ↗

WeatherWhether modification: calendar-month arithmetic means, no spatial resampling, web values rounded to 0.1 units (maximum error 0.05). Country outlines: Natural Earth, public domain. Boundaries are for geographic orientation.