Datasets

Simulated visible images show simulations of the upward flux of radiation (as would be detected by a weather satellite) derived from information using the model representation of temperatures and cloud layers.

This display helps with the recognition of clouds of different layers, even when they overlap. Brighter colouring represents greater cloud cover. Cloud-free areas appear white while areas of full cloud cover at all levels appear dark grey (e.g. active fronts)...

This chart shows probability information regarding visibility near the surface derived from the ...

This display helps with the recognition of clouds of different layers, even when they overlap. Brighter colouring represents greater cloud cover. Cloud-free areas appear white while areas of full cloud cover at all levels appear dark grey (e.g. active fronts)...

This dataset provides daily air quality analyses and forecasts for Europe.

CAMS produces global forecasts for atmospheric composition twice a day. The forecasts consist of more than 50 chemical species (e.g. ozone, nitrogen dioxide, carbon monoxide) and seven different types of aerosol (desert dust, sea salt, organic matter, black carbon, sulphate, nitrate and ammonium aerosol). In addition, several meteorological variables are available as well.

Emissions of atmospheric pollutants from biomass burning and vegetation fires are key drivers of the evolution of atmospheric composition, with a high degree of spatial and temporal variability, and an accurate representation of them in models is essential.

Cloud base height is derived by upwardly searching the structure of the model atmosphere to find the altitude where the cloud fraction becomes >1% and...

850 hPa wet-bulb potential temperature is commonly used to identify air masses and a strong gradient of wet bulb potential temperature is indicative of fronts between two different air masses...

The simulated water vapour images generally focus on the upper troposphere. These charts can often indicate dynamical forcing mechanisms (responsible for cyclogenesis) or convective development (related to potential instability)...

These products display cloud-related fields from the model in a format that is very familiar to forecasters and that they are used to interpreting. They can easily be compared to actual satellite imagery...

The simulated water vapour images generally focus on the upper troposphere. These charts can often indicate dynamical forcing mechanisms (responsible for cyclogenesis) or convective development (related to potential instability)...

This display helps with the recognition of clouds of different layers, even when they overlap. Brighter colouring represents greater cloud cover. Cloud-free areas appear white while areas of full cloud cover at all levels appear dark grey (e.g. active fronts)...