The Copernicus Climate Change Service (C3S) provides key indicators on climate change drivers to support European adaptation and mitigation policies in several sectors. The variables provided in the Agrometeorological indicators dataset match the input needs of most agriculture and agro-ecological models.

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Agrometeorological data were aggregated to daily time steps at the local time zone and corrected towards a finer topography at a 0.1° spatial resolution. The correction to the 0.1° grid was realized by applying grid and variable-specific regression equations to the ERA5 dataset interpolated at 0.1° grid. The equations were trained on ECMWF's operational high-resolution atmospheric model (HRES) at a 0.1° resolution. This way the data is tuned to the finer topography, finer land use pattern and finer land-sea delineation of the ECMWF HRES model.

ISO 19115:2003/19139

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