In this article
  1. Step 1: Measuring the atmosphere
  2. Step 2: Running the models
  3. Step 3: Dealing with chaos
  4. Step 4: Artificial intelligence joins in
  5. How to read a forecast
  6. The human role
  7. Where forecast data comes from
  8. Frequently asked questions

Weather forecasts have improved so steadily that most people barely notice. Forecast accuracy has improved by roughly one day per decade: a modern five-day forecast is about as reliable as a one-day forecast was in 1980. That progress is one of the quiet triumphs of modern science.

Key facts

  • About 800 weather stations worldwide launch balloons carrying instruments, most of them twice a day.
  • One day per decade: the rate at which forecast skill has improved.
  • February 2025: the European Centre for Medium-Range Weather Forecasts (ECMWF) began running an AI forecasting model operationally.
  • A 60% chance of rain means that in similar conditions it rains on about six days out of ten.

Step 1: Measuring the atmosphere

Every forecast starts with a snapshot of the atmosphere as it is now. Measurements come from ground stations, ships, buoys, aircraft, radar and satellites. Some of the most valuable data still come from weather balloons.

About 800 stations around the world release balloons carrying small instrument packages called radiosondes, typically at midnight and midday Greenwich time. As they rise, they measure temperature, humidity, pressure and wind up into the stratosphere. The data are shared freely between countries through the World Meteorological Organization.

Step 2: Running the models

Supercomputers turn the snapshot into a forecast using the laws of physics. The atmosphere is divided into millions of three-dimensional boxes, and equations calculate how air, heat and moisture move between them, minute by minute, days into the future.

Hurricane Sandy seen by the GOES East weather satellite in October 2012.
Hurricane Sandy seen by the GOES East weather satellite in October 2012.

Step 3: Dealing with chaos

The atmosphere is a chaotic system: tiny errors in the starting data grow over time. That is why forecasts become less reliable further ahead. To handle this, forecasters run the model many times with slightly different starting conditions. This set of runs is called an ensemble. If most runs agree, confidence is high; if they spread out, the forecast is uncertain.

Step 4: Artificial intelligence joins in

Since 2023, AI models trained on decades of past weather have produced forecasts that rival traditional ones for many measures. In February 2025 the ECMWF put its Artificial Intelligence Forecasting System (AIFS) into operation alongside its physics-based model. ECMWF reports that it beats traditional models on several measures, including tropical cyclone tracks by up to 20 percent, while using about 1,000 times less energy to produce a forecast.

AI models still depend on physics-based systems and observations to set their starting conditions, so the two approaches work together. AI is changing many other kinds of work too, as we explore in how AI is changing everyday work.

How to read a forecast

Forecast saysWhat it means
60% chance of rainIn similar situations, rain falls at that location on about 6 days in 10
Feels likeThe effect of wind or humidity on how cold or hot it feels
Weather warningAn official alert about conditions likely to cause harm or disruption
10-day forecastUseful for general trends; details beyond about a week are uncertain
Common forecast terms.

Tip: for important plans, check the forecast again closer to the day. Forecasts for three days ahead are much more reliable than those for eight days ahead.

Why Oceans Matter to the Climate

The human role

Forecasters interpret model output, spot patterns the models may miss and explain risks clearly, especially when severe weather threatens. The oceans play a large part in weather and climate, as we explain in why oceans matter to the climate.

Where forecast data comes from

SourceWhat it measures
Weather stationsTemperature, pressure, humidity, wind and rain at ground level
Weather balloonsConditions through the full height of the lower atmosphere
SatellitesClouds, temperature, moisture and winds over the whole planet, including oceans
RadarWhere rain, snow and hail are falling, and how heavily
Aircraft and shipsConditions along flight paths and sea routes
Ocean buoys and floatsSea surface and deep-water temperatures that influence weather
The main inputs to a modern forecast.

Satellites supply most of the data by volume, but balloon and aircraft measurements remain especially valuable because they measure the atmosphere directly at many heights.

Frequently asked questions

Why are forecasts sometimes wrong?

Small errors in the starting data, gaps in observations over oceans and remote areas, and very local effects such as sea breezes or thunderstorms can all make a forecast miss, especially for exact times and places.

How far ahead can weather be predicted?

Useful day-to-day detail now extends to about nine or ten days in many cases. Beyond two weeks, forecasters can give only general tendencies, such as whether a month is likely to be warmer than usual.

Is weather the same as climate?

No. Weather is the day-to-day state of the atmosphere. Climate is the average pattern of weather over many years.

Sources

  1. ECMWF: AI forecasts become operational (February 2025)
  2. ECMWF Newsletter: Global radiosonde network under pressure
  3. Big Think: Weather forecasts have radically improved
  4. World Meteorological Organization: Weather