Multi Weather vs Sky Warden

Multi Weather lines up official agency forecasts and numerical model output on one screen so you can spot where they disagree at a glance. Instead of trusting a single forecast, compare the official JMA forecast with the output of several models to make on-site Go/No-Go calls faster. ■ Official forecasts and model output together See official forecasts from JMA, MET Norway, Apple and NWS (US), alongside numerical model output from GFS, ECMWF, ICON and more — whichever are available for your location — overlaid on one timeline. Weather symbols (each agency's or model's own classification), precipitation (amount/probability), wind, temperature, cloud cover and humidity, side by side. Data sources: JMA, NOAA GFS, NWS (US), ECCC (Canada, GDPS), MET Norway, ECMWF (IFS, AIFS), ICON model (DWD), HARMONIE model (DMI), Apple Weather. ■ See the disagreement Every source is drawn on the same graph, so the hours where forecasts and model output split are visible at a glance. The way professionals read model differences — in seconds, for anyone. ■ Evidence export (CSV and PDF) Export the comparison as CSV or PDF to share. Hand a clear basis for a stop/postpone decision to clients or contractors. ■ Jump to other services Open JMA, tenki.jp, Yahoo Weather or Windy for the exact spot you're viewing, in an in-app window. ■ Built for the field For construction, civil works, ports, surveying, drones, film shoots, fishing and hiking — anything weather-dependent. Note: This app does not make its own forecast. It shows official agency forecasts (e.g. JMA) and numerical model output as provided, side by side. Numerical model output is not a forecast and may contain large errors. Final decisions are your responsibility. The first 30 days are completely free. To keep using all features afterward, an auto-renewing subscription (monthly or yearly) is required — cancel anytime. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://qconp.com/privacy

Most weather apps pick one model and hide the rest. Sky Warden reads many of the world's leading forecast models at once — ECMWF, GFS, ICON, UKMO, GEM, Apple Weather and more — and reconciles them into one honest read: the temperature, the rain, the wind, HOW SURE the models are, and where they disagree. When every model agrees, you get a confident answer. When they split, Sky Warden shows you — the exact number each source gives, and how far apart they are — so a "90% chance of rain" you can trust never looks the same as a coin-toss. A LIVING FORECAST • A hand-drawn scene that redraws with the real conditions — sun, cloud, rain, wind, waves, the moon's phase, day into night — for your exact place. • Three home views: a picture-first Scene, a plain-language Simpler read, and a Details dial that shows every metric and the consensus confidence at a glance. HONEST BY DESIGN • A confidence reading on every forecast, from the models' actual agreement. • Tap it to see where the sources differ — each model's value, side by side. • Your own corrections ("it says rain, it's dry") are respected. HOUR BY HOUR, FOR WHAT YOU ACTUALLY DO • Temperature, rain, wind, UV and humidity — each with its own hour-by-hour view. • Rain has a "hide dry hours" toggle, so you see WHEN it rains, not a wall of 0%. • Tides and a full marine read (waves, period, sea temperature). • Live rain radar with a play-through timeline. MORE THAN A FORECAST • Solar & energy: when the sun's strong enough to run the dishwasher or charge — and, in supported regions, how clean the grid is right now. • Plans: reads your calendar and flags weather that threatens outdoor events. • Sky: meteor showers, eclipses, moon phases and space-weather news. • Rain-approaching notifications before you get caught out. PRIVATE No account, ever. Your location is used only to fetch the weather and is never tied to your identity. Your calendar is read on your device to flag events — it never leaves it. Two small, non-personalised ads keep Sky Warden free. Sky Warden is for anyone who's been burned by a confident forecast that was wrong — and would rather know when the models can't agree.