Datasets

This chart shows 7-day mean anomalies of wind speed and direction from the ECMWF Sub-seasonal ...

The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...

The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...

The charts show mean frequency and accumulated cyclone energy of tropical storm activity. ...

This chart provides information on the verification of forecasts of the expected number of ...

The charts show the evolution of existing and potential tropical cyclone activity. ...

The 850 hPa level is usually just above the boundary layer and at this level the day-night variation in temperature is generally negligible...

Wind speed at 200 hPa highlights the jet stream (areas of strong winds in the upper troposphere) which can help identify movement and development of depressions...

Wind speeds near the surface are roughly proportional to the distance between isobars so closely packed isobars mean strong surface winds...

In the northern hemisphere the air rotates anti-clockwise around low contour centres and clockwise around the high contour centres. In the southern hemisphere the air rotates clockwise around low contour centres and ...

The air flow is not the same at all levels and can be very different in strength and direction when associated with vigorous weather systems...

These charts show the difference between the latest HRES Long Window Data Analysis (LWDA) for the main synoptic hours of 00, 06, 12 and 18UTC, and its corresponding background field taken from the previous HRES LWDA run with the same validity time...

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.

This dataset is part of the ECMWF Atmospheric Composition Reanalysis focusing on long-lived greenhouse gases: carbon dioxide (CO2) and methane (CH4). The emissions and natural fluxes at the surface are crucial for the evolution of the long-lived greenhouse gases in the atmosphere. In this dataset the CO2 fluxes from terrestrial vegetation are modelled in order to simulate the variability across a wide range of scales from diurnal to inter-annual.

This dataset is part of the ECMWF Atmospheric Composition Reanalysis focusing on long-lived greenhouse gases: carbon dioxide (CO2) and methane (CH4). The emissions and natural fluxes at the surface are crucial for the evolution of the long-lived greenhouse gases in the atmosphere. In this dataset the CO2 fluxes from terrestrial vegetation are modelled in order to simulate the variability across a wide range of scales from diurnal to inter-annual.

EAC4 (ECMWF Atmospheric Composition Reanalysis 4) is the fourth generation ECMWF global reanalysis of atmospheric composition. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using a model of the atmosphere based on the laws of physics and chemistry.

EAC4 (ECMWF Atmospheric Composition Reanalysis 4) is the fourth generation ECMWF global reanalysis of atmospheric composition. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using a model of the atmosphere based on the laws of physics and chemistry.

The CAT (Clear Air Turbulence) parameter is given in units of the turbulent Eddy Dissipation Rate (EDR), product shows EDR values on selected flight levels overlayed with wind speeds.

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...

Divergence of horizontal air flow or winds is a measure of the spreading out of air at a particular point. Divergence is +ve where air spreads out; –ve where air converges...