Meteo Compare

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Everyone
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Everyone
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About this app

MeteoCompare is the weather app for people who want to understand forecast reliability, not just consult it.

Instead of displaying a single forecast, MeteoCompare queries 17 reference weather models in parallel and shows you where they agree — and where they diverge.

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SUPPORTED MODELS

France
• AROME France HD (Météo-France, 1.5 km)
• AROME France (Météo-France, 2.5 km)

Europe
• ARPEGE Europe (Météo-France, 11 km)
• ICON-EU (DWD Germany, 7 km)
• ICON-D2 (DWD Germany, 2 km)
• MET Nordic (MET Norway, 1 km, Scandinavia)
• KNMI HARMONIE (Netherlands, 5.5 km)

Global
• ARPEGE World (Météo-France, 25 km)
• ICON (DWD Germany, 13 km)
• GFS (NOAA USA, 13 km, up to 16 days)
• HRRR (NOAA USA, 3 km, rapid-refresh continental US)
• ECMWF (European Centre, 25 km)
• ECMWF AIFS (European Centre, AI model)
• UKMO Global (UK Met Office, 10 km)
• GEM Global (ECCC Canada, 15 km)
• BOM ACCESS (Bureau of Meteorology Australia, 12 km)
• CMA GRAPES (China Meteorological Administration, 15 km)

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CONFIDENCE INDEX

A 0-100% score tells you how much the models agree:
• Perfect convergence → 95% (good confidence)
• Strong divergence → 30% (real uncertainty)

Weighting favors high-resolution models in their coverage zone (AROME in France, ARPEGE in Europe, HRRR in the US, MET Nordic in Scandinavia). Tap the confidence badge to open a "Why this confidence?" page that breaks down which model predicted what, variable by variable.

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PER-MODEL BIAS TRACKING

Every day, the app compares each model's past forecasts against actual observations (ERA5), for each of your favorite cities. Under each model name in the tables, a discreet pill tells you what you need to know:

• Red pill "+1.8°" — the model systematically overestimates temperature by 1.8° on average over 30 days
• Blue pill "−2.3 mm" — the model underestimates precipitation
• Neutral checkmark — the model is calibrated here, no mental correction needed
• Empty pill — not enough history yet (< 14 days of overlap)

Tap a pill to open a sheet with a 30-day chart overlaying forecast and observation, mean bias, standard deviation and a plain-language summary. The forecast data itself is never modified — only the context is enriched so you can interpret forecasts more accurately.

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VISUALIZATIONS

• Hourly confidence band over 7 days
• Three metrics on the confidence band: temperature, precipitation, wind
• 10-year climate normals overlay (dashed lines) to compare the forecast against typical values for the date
• Hourly / daily toggle
• Day × Model tables: temperature, precipitation, wind with direction arrows
• "%" badges under weather icons: rain probability or cloud cover depending on condition

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PRIVACY BY DESIGN

• Zero data collection
• No analytics, no tracking, no ads
• All data stays on your device
• Local-only storage (favorites, cache, preferences)
• Only external requests: Open-Meteo (free, no account)

The app requests exactly two permissions: INTERNET and ACCESS_NETWORK_STATE.

You can support the development of Meteo Compare by making a donation (go to the settings page in the app).

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MORE FEATURES

• Home screen widgets
• Favorite cities with daily quick view
• Model sorting in Settings by zone / family / resolution
• City search by name
• Offline cache (view last forecasts without network)
• Auto light/dark theme (Material You)
• Full TalkBack accessibility

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WEATHER DATA

Provided by Open-Meteo (https://open-meteo.com), free for non-commercial use. MeteoCompare is independent and not affiliated with Open-Meteo, Météo-France, NOAA, DWD, ECMWF, UK Met Office, ECCC, MET Norway, KNMI, BOM or CMA.
Updated on
Jul 26, 2026

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
No data shared with third parties
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No data collected
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What’s new

Standardization of tables, improved text/icon sizes in widgets, bug fixes.
Content rating
Everyone
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App support

About the developer
Emmanuel Kévin HERMELLIN
github.brfoy@passmail.com
France