Datasets
This chart shows 7-day mean anomalies of wind speed and direction from the ECMWF Sub-seasonal ...
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This dataset provides gridded modelled hydrological time series forced with medium-range meteorological forecasts. The data is a consistent representation of the most important hydrological variables across the European Flood Awareness System (EFAS) domain. The temporal resolution is sub-daily high-resolution and ensemble forecasts of:
River discharge
Soil moisture for three soil layers
Snow water equivalent
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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 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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The 850 hPa level is usually just above the boundary layer and at this level the day-night variation in temperature is generally negligible...
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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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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 ...
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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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This dataset provides annual air quality reanalyses for Europe based on both unvalidated (interim) and validated observations.
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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 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 data set contains net fluxes at the surface, atmospheric mixing ratios at model levels, and column-mean atmospheric mixing ratios for carbon dioxide (CO2), methane (CH4) and nitrous oxide (N20).
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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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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...
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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...
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These charts show areas where anomalous 2 m maximum temperatures are likely to occur. These charts are based on the ECMWF ensem ...
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These charts show areas where anomalous 2 m minimum temperatures are likely to occur. These charts are based on the ECMWF ensem ...
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