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MADIA - Meteorological variables for agriculture: A dataset for the Italian area
The MADIA gridded dataset provides the dekadal series of the main agro-meteorological variables derived from ERA5 hourly surface data, across Italy for the period 1981-2021, and their respective 1981-2010 and 1991-2020 climate normals, also including absolute minimum and maximum and the main quantil...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807854/ https://www.ncbi.nlm.nih.gov/pubmed/36605498 http://dx.doi.org/10.1016/j.dib.2022.108843 |
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author | Parisse, Barbara Alilla, Roberta Pepe, Antonio Gerardo De Natale, Flora |
author_facet | Parisse, Barbara Alilla, Roberta Pepe, Antonio Gerardo De Natale, Flora |
author_sort | Parisse, Barbara |
collection | PubMed |
description | The MADIA gridded dataset provides the dekadal series of the main agro-meteorological variables derived from ERA5 hourly surface data, across Italy for the period 1981-2021, and their respective 1981-2010 and 1991-2020 climate normals, also including absolute minimum and maximum and the main quantiles. Temporal and spatial resolutions are 10-day and 0.25 degrees respectively and the dataset is annotated with standard metadata. The dataset was obtained by: (1) estimating the daily time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, surface solar radiation downwards, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method; (2) summarising them to 10-day series as accumulated values for precipitation and evapotranspiration and mean values for the other variables. The MADIA dataset is provided in both NetCDF and csv format. A complementary vector file is provided which reports for every cell the fractions covered of the total area of each administrative unit considered to derive statistics for Italy on the European Nomenclature of Territorial Units for Statistics levels (NUTS 2 and 3). Other potential dataset reuses are the estimation of bioclimatic indices and statistical downscaling of climate scenarios. |
format | Online Article Text |
id | pubmed-9807854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98078542023-01-04 MADIA - Meteorological variables for agriculture: A dataset for the Italian area Parisse, Barbara Alilla, Roberta Pepe, Antonio Gerardo De Natale, Flora Data Brief Data Article The MADIA gridded dataset provides the dekadal series of the main agro-meteorological variables derived from ERA5 hourly surface data, across Italy for the period 1981-2021, and their respective 1981-2010 and 1991-2020 climate normals, also including absolute minimum and maximum and the main quantiles. Temporal and spatial resolutions are 10-day and 0.25 degrees respectively and the dataset is annotated with standard metadata. The dataset was obtained by: (1) estimating the daily time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, surface solar radiation downwards, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method; (2) summarising them to 10-day series as accumulated values for precipitation and evapotranspiration and mean values for the other variables. The MADIA dataset is provided in both NetCDF and csv format. A complementary vector file is provided which reports for every cell the fractions covered of the total area of each administrative unit considered to derive statistics for Italy on the European Nomenclature of Territorial Units for Statistics levels (NUTS 2 and 3). Other potential dataset reuses are the estimation of bioclimatic indices and statistical downscaling of climate scenarios. Elsevier 2022-12-20 /pmc/articles/PMC9807854/ /pubmed/36605498 http://dx.doi.org/10.1016/j.dib.2022.108843 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Parisse, Barbara Alilla, Roberta Pepe, Antonio Gerardo De Natale, Flora MADIA - Meteorological variables for agriculture: A dataset for the Italian area |
title | MADIA - Meteorological variables for agriculture: A dataset for the Italian area |
title_full | MADIA - Meteorological variables for agriculture: A dataset for the Italian area |
title_fullStr | MADIA - Meteorological variables for agriculture: A dataset for the Italian area |
title_full_unstemmed | MADIA - Meteorological variables for agriculture: A dataset for the Italian area |
title_short | MADIA - Meteorological variables for agriculture: A dataset for the Italian area |
title_sort | madia - meteorological variables for agriculture: a dataset for the italian area |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807854/ https://www.ncbi.nlm.nih.gov/pubmed/36605498 http://dx.doi.org/10.1016/j.dib.2022.108843 |
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