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ZENODO
Dataset . 2025
License: CC BY NC SA
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY NC SA
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY NC SA
Data sources: Datacite
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Italian coastal wave climate dataset — bias-adjusted reanalysis, hindcasts and EURO-CORDEX projections

Authors: Tuozzo, Sara; Codato, Carolina; Lira Loarca, Andrea; Besio, Giovanni;

Italian coastal wave climate dataset — bias-adjusted reanalysis, hindcasts and EURO-CORDEX projections

Abstract

Dataset Overview This dataset provides bias-adjusted wave data for 15 buoy locations along the Italian coastline, together with bias-corrected historical and future wave projections. The dataset includes corrections applied to multiple reanalysis and model sources—ERA5, CMEMS, MeteOcean-UniGe 10 km regular grid, and MeteOcean-UniGe unstructured grid. The MeteOcean-UniGe 10km regular and unstructured grid are produced by the MeteOcean research group of the University of Genova (www.meteocean.science), providing wave information with different resolution for the Mediterranean Sea using the third-generation wave model Wavewatch III. CMEMS dataset: This database contains raw reanalysis data provided by E.U. Copernicus Marine Service Information; https://doi.org/10.48670/mds-00376.This database contains modified reanalysis data generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/mds-00376. ERA5: This database contains raw reanalysis data provided by Copernicus Climate Change Service; https://doi.org/10.24381/cds.adbb2d47. This database contains modified Copernicus Climate Change Service information. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. Station ERA5reanalysis ww3-10kmhindcast/projections ww3-unsthindcast CMEMSreanalysis Lon [°E] Lat [°N] Lon [°E] Lat [°N] Lon [°E] Lat [°N] Lon [°E] Lat [°N] LA SPEZIA 9.75 44.00 9.89 43.95 9.82 43.93 9.83 43.93 CAPOMELE 8.25 43.75 8.23 43.86 8.18 43.92 8.20 43.93 ALGHERO 8.00 40.50 8.11 40.53 8.00 40.56 8.00 40.52 CROTONE 17.25 39.00 17.28 39.00 17.29 38.95 17.25 39.02 CAGLIARI 9.25 39.00 9.38 39.09 9.45 39.11 9.50 39.10 MAZARA 12.50 37.50 12.44 37.47 12.53 37.52 12.54 37.52 MONOPOLI 17.50 41.00 17.40 40.98 17.41 40.99 17.37 40.97 CIVITAVECCHIA 11.50 42.00 11.67 42.15 11.68 42.14 11.58 42.27 ORTONA 14.50 42.50 14.60 42.42 14.53 42.37 14.54 42.43 ANCONA 13.75 43.75 13.71 43.77 13.70 43.79 13.75 43.85 CETRARO 15.75 39.50 15.87 39.45 15.75 39.50 15.91 39.48 CESENATICO 12.50 44.25 12.56 44.22 12.48 44.22 12.50 44.22 PONZA 12.75 40.75 12.94 40.80 12.95 40.86 12.95 40.89 CATANIA 15.50 38.00 15.25 37.47 15.59 38.10 15.16 37.48 PALERMO 13.25 38.25 13.46 38.19 13.45 38.18 13.33 38.27 The bias adjustment is performed, for the significant wave height (Hs), using the DM-seasonal method (Distribution Mapping by seasons) with a mixed distribution approach, employing an extreme-value-tail distribution to improve the representation of storm extremes. The corrected MeteOcean-UniGe 10 km dataset is then used as a reference to correct historical (baseline) and future (RCP8.5) simulations from 21 EURO-CORDEX RCM–GCM combinations. Additionally, the dataset includes results of a Bivariate Dynamical Optimal Transport Correction (dOTC) applied jointly to significant wave height (Hs) and peak period (Tp) for the MeteOcean-UniGe 10 km grid, together with the corresponding bias-corrected projections for all 21 climate models. This dataset supports coastal climate-impact studies, wave climate assessment, and long-term hazard projections along the Italian coasts. Data Structure The dataset is provided as a collection of ZIP archives, each containing text files (.txt) corresponding to the processed time series. All ZIP files follow the structure: _.zip Where: raw bias-adj-Hs-DMseasonal bias-adj-Hs_Tp-dOTC CMEMS ERA5 hindcast_MeteOcean-UniGe-ww3-10km hindcast_MeteOcean-UniGe-ww3-unst projections_MeteOcean-UniGe-ww3-10km Raw data ZIP archives raw_ERA5.zip raw_CMEMS.zip raw_hindcast_MeteOcean-UniGe-ww3-10km.zip raw_hindcast_MeteOcean-UniGe-ww3-unst.zip raw_projections_MeteOcean-UniGe-ww3-10km.zip Each hindcast ZIP contains 15 .txt files, one per buoy location. The projections ZIP contains two folders: baseline-1970-2005/ rcp85-2006-2100/ Each folder contains 315 .txt files (= 15 locations × 21 RCM–GCM models). DM-seasonal bias-adjusted (Hs) ZIP archives bias-adj-Hs-DMseasonal_CMEMS.zip bias-adj-Hs-DMseasonal_ERA5.zip bias-adj-Hs-DMseasonal_hindcast_MeteOcean-UniGe-ww3-10km.zip bias-adj-Hs-DMseasonal_hindcast_MeteOcean-UniGe-ww3-unst.zip bias-adj-Hs-DMseasonal_projections_MeteOcean-UniGe-ww3-10km.zip Hindcast ZIPs: 15 .txt files. Projections ZIP: two folders (baseline, rcp85), each with 315 .txt files dOTC bivariate Hs–Tp ZIP archives bias-adj-Hs_Tp-dOTC_hindcast_MeteOcean-UniGe-ww3-10km.zip bias-adj-Hs_Tp-dOTC_projections_MeteOcean-UniGe-ww3-10km.zip Hindcast: 15 .txt files. Projections: two folders, each with 315 .txt files File format description Each .txt file includes: a header listing variables, units, and metadata time series of: timestamps Hs (DM-seasonal and dOTC) Tp (dOTC only) additional variables for raw data (e.g., mean wave period and wave direction)

Keywords

significant wave height, buoys, waves, RON, bias correction, peak period

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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