a98fa2dd-6787-4eeb-b51a-ab4c9ae731be mundialis GmbH & Co. KG info@mundialis.de 2022-05-20T08:21:07 ISO 19115:2003/19139 1.0 EPSG:3035 ERA5-Land weekly: Surface temperature, weekly time series for Europe at 1 km resolution (2016 - 2020) 2021-12-06 10.5281/zenodo.6559068 Overview: ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past. Surface temperature: Temperature of the surface of the Earth. The skin temperature is the theoretical temperature that is required to satisfy the surface energy balance. It represents the temperature of the uppermost surface layer, which has no heat capacity and so can respond instantaneously to changes in surface fluxes. The spatially enhanced daily ERA5-Land data has been aggregated on a weekly basis (starting from Saturday) for the time period 2016 - 2020. Data available is the weekly average of daily averages, the weekly minimum of daily minima and the weekly maximum of daily maxima of surface temperature. File naming: Average of daily average: era5_land_ts_avg_weekly_YYYY_MM_DD.tif Max of daily max: era5_land_ts_max_weekly_YYYY_MM_DD.tif Min of daily min: era5_land_ts_min_weekly_YYYY_MM_DD.tif The date in the file name determines the start day of the week (Saturday). Values are °C * 10. Example: Value 302 = 30.2 °C The QML or SLD style files can be used for visualization of the temperature layers. mundialis GmbH & Co. KG info@mundialis.de https://data.mundialis.de:/geonetwork/srv/api/records/a98fa2dd-6787-4eeb-b51a-ab4c9ae731be/attachments/ERA5_weekly_ts.png surface temperature MOOD-H2020 Europe Continents, countries, sea regions of the world. 2015-07-17 geonetwork.thesaurus.external.place.regions Meteorological geographical features GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme Licence to Use Copernicus Products no limitations to public access Licence to Use Copernicus Products (Version 1.2, Nov. 2019): "All users of Copernicus Products must provide clear and visible attribution to the Copernicus programme. The Licensee will communicate to the public the source of the Copernicus Products by crediting the Copernicus Climate Change and Atmosphere Monitoring Services" (full licence available here: https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf { "id": "other-open", "name": "Licence to Use Copernicus Products", "url": "https://ads.atmosphere.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf", "quelle": "Source: Copernicus Programme" } 601ea08c-0768-4af3-a8fa-7da25fb9125b a72f738b-6704-4d00-98d7-a83f61346560 1 environment geoscientificInformation health climatologyMeteorologyAtmosphere 2016-01-01 2020-12-31 -32.00 61.00 18.00 82.00 GeoTIFF https://zenodo.org/record/6559068/files/ERA5_ts_weekly_avg_v01.zip?download=1 WWW:LINK-1.0-http--link https://zenodo.org/record/6559068/files/ERA5_ts_weekly_max_v01.zip?download=1 null https://zenodo.org/record/6559068/files/ERA5_ts_weekly_min_v01.zip?download=1 null https://zenodo.org/record/6559068/files/era5_land_temperature_color_table.sld?download=1 null https://zenodo.org/record/6559068/files/era5_land_temperature_color_table.qml?download=1 null COMMISSION REGULATION (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 http://data.europa.eu/eli/reg/2010/1089/2014-12-31 See specified reference true Dataset has been processed from original Copernicus Climate Data Store (ERA5-Land) data sources. As auxiliary data CHELSA climate data has been used.