VHR-REA_IT Dataset: Very High Resolution Dynamical Downscaling of ERA5 Reanalysis over Italy by COSMO-CLM
Mario Raffa,
Alfredo Reder,
Gian Franco Marras,
Marco Mancini,
Gabriella Scipione,
Monia Santini,
Paola Mercogliano
Affiliations
Mario Raffa
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Regional Model and Geo-Hydrological Impacts (REMHI) Division, Via Thomas Alva Edison, 81100 Caserta, Italy
Alfredo Reder
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Regional Model and Geo-Hydrological Impacts (REMHI) Division, Via Thomas Alva Edison, 81100 Caserta, Italy
Gian Franco Marras
HPC Department, CINECA, Via Magnanelli 6/3, 40033 Casalecchio di Reno, Italy
Marco Mancini
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Advanced Scientific Computing (ASC) Division, Via Augusto Imperatore 16, 73100 Lecce, Italy
Gabriella Scipione
HPC Department, CINECA, Via Magnanelli 6/3, 40033 Casalecchio di Reno, Italy
Monia Santini
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Impacts on Agriculture, Forests and Ecosystem Services (IAFES) Division, Viale Trieste 127, 01100 Viterbo, Italy
Paola Mercogliano
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Regional Model and Geo-Hydrological Impacts (REMHI) Division, Via Thomas Alva Edison, 81100 Caserta, Italy
This work presents a new dataset for recent climate developed within the Highlander project by dynamically downscaling ERA5 reanalysis, originally available at ≃31 km horizontal resolution, to ≃2.2 km resolution (i.e., convection permitting scale). Dynamical downscaling was conducted through the COSMO Regional Climate Model (RCM). The temporal resolution of output is hourly (like for ERA5). Runs cover the whole Italian territory (and neighboring areas according to the necessary computation boundary) to provide a very detailed (in terms of space–time resolution) and comprehensive (in terms of meteorological fields) dataset of climatological data for at least the last 30 years (01/1989-12/2020). These types of datasets can be used for (applied) research and downstream services (e.g., for decision support systems).
