Last updated: · Live forecast data refreshes hourly.
Most travel weather decisions are comparisons, not lookups. You are not asking whether Lisbon is nice; you are asking whether Lisbon beats Seville and Valencia for the same week. Compare Weather puts up to five destinations in one table and ranks them by Weather Score so the answer is visible in a single glance rather than assembled from five browser tabs. For each destination you get daily high and low, apparent temperature, precipitation probability and amount, wind and gusts, cloud cover, sun hours and the composite score, aligned by date so you are always comparing the same day. A winner is highlighted per day and across the whole period, and the reason is stated in words — warmer with equivalent rain risk, or cooler but with three more sun hours and half the wind. The comparison handles partial failures gracefully: if one destination's forecast is unavailable, the remaining ones still render rather than the whole table collapsing. Unit preference is respected across every column, and the entire comparison can be shared as a deep link, printed, or copied as text, which is what makes it useful for group trip planning where the decision has to be defended to other people. Comparisons work for any combination of cities, resorts and natural landmarks in the Snap Weather dataset, and each destination name links through to its own full best-day page.
Weather decisions in your destination are rarely about whether it's "nice" — they're about matching what you want to do with the conditions that actually show up. A perfectly sunny day at 34 °C can be a bad day for hiking, a mild overcast morning can be ideal for portrait photography, and a low-cloud evening can be a spectacular night for full-moon shots. Snap Weather is built to answer decision questions like these directly, rather than making you interpret raw forecast numbers on your own.
This page pulls current ensemble forecast data for your destination and reframes it around one specific decision. If the conditions clearly support the plan, we say so; if they don't, we say that too and — where possible — suggest the next date in the outlook window that does. Recommendations respect timezone, sunrise/sunset, forecast uncertainty and dealbreaker thresholds (heavy rain, dangerous wind, thick fog, hazardous UV), so a warning stays a warning even when everything else looks pleasant.
The decision score you see on this page is a weighted composite of the factors most important to the question in the page title. Weights differ by decision type, and every factor has a "dealbreaker" cap: if a single factor is dangerous or ruins the plan, the total score is pulled down regardless of the other factors.
Because dealbreaker caps apply, a "poor" score is not simply a low weather score — it means at least one factor makes the plan meaningfully worse or unsafe. That's the difference between a decision engine and a raw weather feed.
Snap Weather pulls ensemble forecast data every hour from Open-Meteo and combines it with high-precision solar and lunar calculations done in the destination's local timezone. We translate raw numbers into a direct answer to the question in the page title. Every score is capped so a single dealbreaker — heavy rain, dangerous wind, thick fog, hazardous UV — cannot be hidden by otherwise pleasant averages, and every recommendation includes a plain-English explanation of why we picked what we picked.
Ensemble forecasting matters because it captures uncertainty: instead of a single deterministic run, we look at how tightly a spread of model runs agrees. When agreement is high, we mark the forecast as high-confidence and you can plan around it. When runs diverge — often more than 72 hours out — we mark the day as lower confidence and suggest re-checking closer to the date. This matches how professional meteorologists reason about a forecast, and it beats the false certainty most consumer weather apps display.
The methodology is documented in full on our methodology page, and the scoring code for each decision type — travel days, photography, weddings, activities, ski, running, cycling — is written in a shared, activity-aware library so recommendations stay consistent across every page on the site.
All times on this page render in the local timezone of the selected location, not your device timezone, so a sunrise time you read from London still means "sunrise as seen from the destination". Weather data comes from Open-Meteo's ensemble models with hourly refresh, giving global coverage down to roughly 11 km resolution. Astronomical data — sunrise, sunset, twilight, moon phase, illumination and moon altitude — comes from the Sunrise-Sunset API with Open-Meteo as a resilient fallback, and every calculation is done in the target location's timezone rather than the browser's, so daylight-saving transitions, high-latitude twilight and equatorial no-twilight days all render correctly.
We publish a last-updated timestamp on the live page so you can see exactly how fresh the numbers are, and we display forecast confidence next to each day so you know when it's safe to lock in plans and when to check back after the next model run. The interactive tool at the top of this page is fully client-side — no accounts, no paywall, no email required — and it works on mobile and desktop equally well.
Ensemble weather data refreshes hourly from Open-Meteo. Solar and lunar timings are re-computed on every page load, so a page you refresh at midday and again at 6 pm can show meaningfully different scores if a model run has arrived in between.
Yes. Every forecast, decision score, month-by-month guide and photography timing on Snap Weather is free, no account required and no data captured beyond anonymous analytics. If it saves you a trip or a shoot, telling a friend is the only "payment" we ask for.
We use Open-Meteo's ensemble which blends leading global models (ECMWF, GFS, ICON) and downscales to ~11 km resolution. This is the same model family used by many professional planning tools, exposed here in a decision-friendly way.
Yes — all sunrise, sunset, twilight and moon times are calculated in the destination's local timezone, so daylight-saving transitions are handled automatically. You should never need to add or subtract an hour manually.
Trust decays with time. Days 1–3 are typically very reliable, days 4–7 are directionally reliable (good/bad but not exact), and days 8–14 give you a broad sense of the pattern. That's why we surface confidence alongside every score.
Snap Weather is a weather decision engine covering 11M+ locations worldwide. If you're on the live site, the interactive forecast for this page loads automatically — no reload required.