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Dataset guide · Geospatial & remote sensing

UniMi/ISAC-CNR Observational Dataset (t2m) on reanalysis grid and elevations

This dataset, a collaboration between the University of Milan and CNR-ISAC, provides gridded daily minimum and maximum surface air temperature observations over Italy for 1991–2020, interpolated onto the grids of six reanalysis products with elevation adjustment.

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Geospatial & remote sensingFree to access

Key facts

InstitutionUniversity of Milan & CNR-ISAC
CoverageItaly
Time span1991–2020
Scale6 reanalysis grids, 30 annual compressed files per grid (180 .7z files total)
LicenseLicense statement is still being checked
AccessZenodo

Contents & fields

The dataset contains gridded daily minimum and maximum surface air temperature observations over Italy for 1991–2020, interpolated onto the grids of six reanalysis products (ERA5, ERA5-Land, MERIDA, MERIDA HRES, CERRA, VHR-REA_IT). For each reanalysis grid, 30 annual compressed files (.7z format) are provided; after decompression, NetCDF files contain daily temperature fields and flag variables indicating rare missing interpolation cases.

  • t2m_min——Daily minimum surface air temperature
  • t2m_max——Daily maximum surface air temperature
  • flag——Flag variable identifying grid points where interpolation was not possible

Research uses

This dataset is suitable for validation and evaluation of reanalysis products, studies of temperature variability and climate change impacts in Italy, and comparative analysis between high-resolution gridded observations and reanalysis outputs.

Information comes from the source page. Please check that page for current details and terms.

Keywords

surface air temperaturegridded observationsItalyreanalysis validationdaily valueselevation adjustment

Access & license

License: License statement is still being checked | Free to access

Why this is hard to get on your own

Obtain gridded observational temperature data consistent with reanalysis grids and elevations for reanalysis validation.

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