Winds Aloft and Multi-Model Forecasts
Updated: 2026-09-27 · First published: 2026-09-27 · About this site
The METAR is one point at one time. The TAF is one aerodrome for a day. For everything else — the wind at 6,000 ft on your route, the freezing level tomorrow, whether the front arrives at 14:00 or 18:00 — you are relying on a numerical weather model, and there are half a dozen of them, run by different agencies, disagreeing with each other in ways that matter. This guide explains what they are, why they differ, and why the useful forecast is usually the one that takes all of them into account.
What a winds-aloft forecast is
Every global model computes the wind, temperature and humidity on a three-dimensional grid — typically 9 to 25 km horizontally, with 60 to 140 levels vertically — at every hour or three hours out to 10–16 days. A winds-aloft forecast is that grid sampled at your point and at aviation levels: 1,000 ft steps in the lowest layer, then 3,000, 6,000, 9,000, 12,000, 18,000 ft and the flight levels. The direction is true, the speed in knots, and the temperature in °C. Most pilots meet it as a table; on this site it is a panel on every airport page, drawn as barbs from the surface up to 13,000 ft in 1,000 ft steps so that the shear between levels, and the height at which the wind changes direction, is visible at a glance.
The models
| Model | Agency | Resolution | Known for |
|---|---|---|---|
| IFS | ECMWF (Europe) | 9 km, 137 levels | Best medium-range skill on most verification metrics; the reference model |
| AIFS | ECMWF | ~25 km | Machine-learning model trained on IFS reanalysis; very fast, competitive at synoptic scale, weaker on fine detail |
| GFS | NOAA (USA) | 13 km, 127 levels | Free and open; runs four times a day to 16 days; slightly behind IFS at 3–7 days |
| ICON | DWD (Germany) | 13 km global, 6.5 km Europe | Strong over Europe, good on precipitation structure |
| GEM | ECCC (Canada) | 15 km | Robust global model, good over the Atlantic and Arctic |
| ARPEGE | Météo-France | Stretched grid, 7.5 km over France | Excellent over western Europe and the Mediterranean |
| UM | UK Met Office | 10 km global | Consistently among the top three for short range |
They differ in resolution, in how they represent clouds and convection that are smaller than the grid, in the observations they assimilate, and in the time their runs start. Two models given the same atmosphere produce two forecasts, and the difference grows with lead time.
Why one model is not enough
Suppose IFS says the front reaches LFPG Paris at 15:00 with a wind shift to 300°/25 kt, and GFS says 18:00. If you plan on IFS alone you are certain of the wrong thing three hours out of six. If you look at both, you know the shift is coming this afternoon and that the timing is uncertain by three hours — which is the true state of knowledge, and the right basis for a fuel and alternate decision. The disagreement, called the spread, is itself a forecast: when seven models agree, the atmosphere is in a predictable regime and you can trust the number; when they scatter, the honest forecast is "uncertain", and the operational answer is margin.
Consensus and calibration
A simple average of models already beats most individual models over a season. It can be improved in two ways. First, by weighting: down-weight the outliers at each hour so that one model's spurious 40 kt gust does not drag the mean. Second, by calibration against reality: compare each model's forecast for the last few hours with what the METARs at the nearest stations actually reported, and trust the models that were right. The Kalynda blend shown on this site does both — a robust weighted mean across the models (a Tukey biweight, for readers who want the statistics) with weights that are then scaled by each model's recent skill at that location — and the result is verified continuously: its error against subsequent observations is measured per lead time and published on the model page. When you see the model comparison panel on an airport page, the per-model winds are the raw ingredients and the Kalynda line is the blend.
The 14-day limit
Models produce numbers out to 15 or 16 days. Beyond about day 10 the skill of a single deterministic run drops toward climatology; by day 14 only ECMWF retains meaningful information at the synoptic scale, and nothing does for a single point. This site stops at 14 days deliberately, and at the far end shows the consensus of the three models that still carry signal rather than the tail of one. A forecast presented as precise beyond its skill is worse than no forecast, because it will be believed.
Using the panel
- Read the surface METAR first; that is truth.
- Compare it with the lowest model level. If they disagree by 10 kt or 40°, the models have the boundary layer wrong today; trust them less at low level for the next few hours, and expect the blend to have already down-weighted the worst of them.
- Read the shear between 1,000 and 3,000 ft — that is the layer you climb and descend through.
- Look at the spread. Tight agreement, plan on the number; wide disagreement, plan on the range.
- For the forecast beyond the TAF, use the meteogram's hour-by-hour consensus, and revisit it at each new model cycle (00, 06, 12, 18 UTC, available about four to six hours later).
Frequently asked questions
Which weather model is the most accurate?
For medium-range synoptic forecasts the ECMWF IFS has led verification scores for most of the last decade, with the UK Met Office and GFS close behind at short range. For any single point and hour, though, the ranking changes from day to day — which is the argument for looking at several models rather than trusting one.
What is model spread?
The disagreement between models (or ensemble members) for the same time and place. Small spread means the atmosphere is in a predictable state and the forecast can be trusted; large spread means the outcome is genuinely uncertain, whatever any single model says. Spread is a forecast of forecast quality.
Why do forecasts beyond about 10 days stop being useful?
Because small errors in the initial state grow exponentially, and by 10–14 days they are as large as the difference between any two random days. Beyond that the models still produce numbers, but they carry little more information than the climatology. This site stops at 14 days for that reason.
Are winds aloft forecasts in true or magnetic degrees?
True, like every meteorological wind. Only tower, ATIS and runway numbers are magnetic. Temperatures aloft are in °C and heights are pressure altitudes or geometric heights depending on the product.
What does the Kalynda blend do?
It combines up to seven global models with weights that change hour by hour according to how well each model has been matching the live METAR observations at the nearest stations. A model that is currently wrong about the surface wind at a field is trusted less at that field for the coming hours; one that is currently right, more.
Read next
- How to Read METAR Reports: A Pilot's Guide — Learn to decode a METAR line by line: station, time, wind, visibility, weather, clouds, temperature, QNH and trend. Worked example plus the mistakes that catch pilots out.
- VFR vs IFR Flight Categories Explained — What the four flight categories mean, the exact ceiling and visibility thresholds, how to derive them from a METAR or TAF, and how they differ from flight rules and European colour states.
- How to Read a TAF Forecast — Decode a TAF: validity period, FM, BECMG, TEMPO and PROB groups, what each change group promises, and how to pick the worst period for alternate planning. Worked example included.
- Crosswind Component and Runway Selection — The sine rule, the clock-face shortcut, gust handling and a worked example. How crosswind, headwind and tailwind components decide which runway to use and when to divert.
- QNH, QFE and QNE: Altimeter Settings Explained — What each altimeter setting measures, when to use which, how to convert hPa and inHg, what a wrong setting does to your altitude, and how transition altitude and level work.
- All pilot guides — the full library, 15 articles.
- Airports by country — live METAR and TAF for every reporting station
- World weather rankings from the observation archive