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ZENODO
Dataset . 2018
License: CC BY
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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Country averages of Copernicus ERA5 hourly meteorological variables

Authors: De Felice, Matteo;

Country averages of Copernicus ERA5 hourly meteorological variables

Abstract

Note: a new time-series dataset from ERA5 has been published — this one won't be updated/maintained anymore Country averages of meteorological variables generated using the R routines available in the package panas based on the Copernicus Climate Change ERA5 reanalyses. The time-series are at hourly resolution and the included variables are: 2-meter temperature (t2m), snow depth (snow_depth), mean sea-level pressure (mslp), runoff, surface solar radiation (ssrd), surface solar radiation with clear-sky (ssrdc), temperature at 850hPa (t850), total precipitation (total_prec), zonal (west-east direction) wind speed at 10m (u10) and 100m (u100), meridional (north-sud) wind speed at 10m (v10) and 100m (v100), dew point temperature (dew) The original gridded data has been averaged considered the national borders of the following countries (European 2-letter country codes are used, i.e. ISO 3166 alpha-2 codes with the exception of GB->UK and GR->EL): AL, AT, BA, BE, BG, BY, CH, CY, CZ, DE, DK, DZ, EE, EL, ES, FI, FR, HR, HU, IE, IS, IT, LT, LU, LV, MD, ME, MK, NL, NO, PL, PT, RO, RS, SE, SI, SK, UA, UK. The unit measures here used are listed in the official page: https://cds.climate.copernicus.eu/cdsapp#!/dataset/era5-hourly-data-on-single-levels-from-2000-to-2017?tab=overview The script used to generate the files is available on github here

Keywords

meteorological variables, era5, copernicus climate change

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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