Datasets
The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...
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The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...
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The charts show mean frequency and accumulated cyclone energy of tropical storm activity. ...
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This chart provides information on the verification of forecasts of the expected number of ...
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The charts show the evolution of existing and potential tropical cyclone activity. ...
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These charts show surface pressure patterns. Areas of high pressure (anticyclones) are usually associated with settled weather...
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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...
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Wind speeds near the surface are roughly proportional to the distance between isobars so closely packed isobars mean strong surface winds...
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The charts show the forecast value of the vertically integrated total column water (vapour + cloud water + cloud ice but with no precipitation included) in units of kg m⁻²...
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Forecast precipitation is considered to be snow if the model atmosphere above and at the ground surface is forecast to be below 0°C. Where the ground surface lies near the 0°C level...
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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...
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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...
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Bulk Wind Shear charts show the scalar value of the shear between the winds at the two pressure levels selected. Shear can be useful in assessing the strength of a front or...
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This dataset provides daily air quality analyses and forecasts for Europe.
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This dataset provides annual air quality reanalyses for Europe based on both unvalidated (interim) and validated observations.
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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.
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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.
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This data set contains gridded distributions of global anthropogenic and natural emissions.
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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.
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This dataset provides geographical distributions of the radiative forcing (RF) by key atmospheric constituents. The radiative forcing estimates are based on the CAMS reanalysis and additional model simulations and are provided separately for...
- carbon dioxide
- methane
- tropospheric ozone
- stratospheric ozone
- interactions between anthropogenic aerosols and radiation
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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.
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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.
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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.
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This chart shows the probability that both the wind at 10 m above the earth's surface is ...
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This chart shows the probability that both the wind at 10 m above the earth's surface is ...
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