Next Article in Journal
Geodatabase of Publicly Available Information about Czech Municipalities’ Local Administration
Previous Article in Journal
A Dataset of Photos and Videos for Digital Forensics Analysis Using Machine Learning Processing
Data Descriptor

VHR-REA_IT Dataset: Very High Resolution Dynamical Downscaling of ERA5 Reanalysis over Italy by COSMO-CLM

1
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Regional Model and Geo-Hydrological Impacts (REMHI) Division, Via Thomas Alva Edison, 81100 Caserta, Italy
2
HPC Department, CINECA, Via Magnanelli 6/3, 40033 Casalecchio di Reno, Italy
3
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Advanced Scientific Computing (ASC) Division, Via Augusto Imperatore 16, 73100 Lecce, Italy
4
Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Impacts on Agriculture, Forests and Ecosystem Services (IAFES) Division, Viale Trieste 127, 01100 Viterbo, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Eric Vaz
Received: 22 June 2021 / Revised: 27 July 2021 / Accepted: 3 August 2021 / Published: 9 August 2021
(This article belongs to the Section Spatial Data Science and Digital Earth)
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). View Full-Text
Keywords: reanalysis; regional climate models; convection permitting model; Italian historical hourly climate dataset reanalysis; regional climate models; convection permitting model; Italian historical hourly climate dataset
Show Figures

Figure 1

MDPI and ACS Style

Raffa, M.; Reder, A.; Marras, G.F.; Mancini, M.; Scipione, G.; Santini, M.; Mercogliano, P. VHR-REA_IT Dataset: Very High Resolution Dynamical Downscaling of ERA5 Reanalysis over Italy by COSMO-CLM. Data 2021, 6, 88. https://doi.org/10.3390/data6080088

AMA Style

Raffa M, Reder A, Marras GF, Mancini M, Scipione G, Santini M, Mercogliano P. VHR-REA_IT Dataset: Very High Resolution Dynamical Downscaling of ERA5 Reanalysis over Italy by COSMO-CLM. Data. 2021; 6(8):88. https://doi.org/10.3390/data6080088

Chicago/Turabian Style

Raffa, Mario, Alfredo Reder, Gian F. Marras, Marco Mancini, Gabriella Scipione, Monia Santini, and Paola Mercogliano. 2021. "VHR-REA_IT Dataset: Very High Resolution Dynamical Downscaling of ERA5 Reanalysis over Italy by COSMO-CLM" Data 6, no. 8: 88. https://doi.org/10.3390/data6080088

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop