30-year climate normal
Trip planning board
Add a city to get started
Search for a city above to see its typical climate for the selected month.
Compare the climate of any cities - sign in to save your board and pick up where you left off.
Use the board for a quick climate read for any time of year, then sign in to have your cities and month remembered automatically for next time.
Guest mode
Let weather narrow the shortlist, not write the whole story.
Start with comfort, then look at rhythm. A calmer week profile can suit a walking trip, while a slightly cooler week can matter more than pure sun.
- Choose the city with the clearest match for your trip type.
- Use rainy days and wind together, not as separate signals.
- Keep Exchange and weather close before you confirm a booking.
Balance climate, cost, and timing in one calm view.
When one city starts to feel right, open Exchange for a clearer picture of what a stay would actually cost.
- Open Exchange to see what a stay would actually cost.
- Update your profile once the plan starts to take shape.
30-year climate normal
A clearer picture of the signals behind each city
Every number on this board comes from Open-Meteo's historical archive, averaged across the last 30 years for the chosen time of year - here's exactly what it measures and where it falls short.
Core signals
- Daily min/max/mean temperature, averaged across 30 years
- Weather condition summary, from the most common code across those years
- Rain frequency - the share of days with more than 2.5 mm of rain
- Wind speed - each day's peak, averaged across the period
How to read the board
- Search for a city, pick a suggestion, and choose the month you're curious about.
- Add one city for a quick read, or up to six to compare.
- Check the early/mid/late breakdown for how the month tends to shift as it goes on.
- Sort by temperature, rainy days, or wind - whichever matters most for your trip.
Useful caution points
- This is a 30-year average, not a precise forecast for your exact trip dates - normal year-to-year variation still applies.
- The early/mid/late split still pools 30 years of data - it shows a trend, not a guarantee for any single day.
- Averages describe the whole month, not any single day within it.