Earth Nullschool: Reading Wind, Pressure Levels and Weather Layers

Earth Nullschool turns weather-model data into a globe you can explore. Flowing lines make broad wind patterns easier to follow, while colour adds another layer of information to the map.

Check the time, layer and units

Start by reading the displayed timestamp and selected variable. Surface wind and wind at an upper-air pressure level describe different parts of the atmosphere; changing between them can produce a very different pattern over the same place.

A model visualisation is not a live camera

The animation illustrates data rather than tracking individual parcels of air in real time. Pressure levels also correspond only approximately to fixed altitudes. The project’s own explanation identifies the sources and update intervals for its different layers, making it a useful companion while exploring.

Further information: Open Earth Nullschool · Read the project’s data and layer guide

Explore more: a historical cold-air globe image; a storm viewed from the ground.

Related reading: Titan’s Northern Lakes: Cassini’s View of Liquid Methane.

Pressure surfaces are not fixed-height floors

The original guide listed levels such as 850, 500 and 250 hectopascals with approximate heights. Those pressure surfaces move in altitude as atmospheric conditions change, so the figures should not be treated as exact horizontal floors above every location. One hectopascal equals one millibar, which explains the equivalent labels often used in weather material. The selected pressure level is part of what the map means, not a decorative setting.

Change one setting at a time

To compare patterns, keep the location and time fixed while changing the atmospheric level, then return to the same level before comparing another time. That simple approach makes it easier to see which change in the display comes from which choice. The animated lines make a pattern readable, but they are not individual tracked particles filmed by a camera.

Credits explain the chain behind the image

Cameron Beccario’s project combines data sources, mapping and visualisation. The original acknowledgements named the Global Forecast System and NOAA among the weather-data sources, alongside software and geographical resources. The project’s current about page is the better reference for the full layer-specific credits and update intervals. A single blanket three-hour description should not be assumed to cover every available dataset.