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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-02-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922010460 |
| _version_ | 1797938030415183872 |
|---|---|
| author | Barbara Parisse Roberta Alilla Antonio Gerardo Pepe Flora De Natale |
| author_facet | Barbara Parisse Roberta Alilla Antonio Gerardo Pepe Flora De Natale |
| author_sort | Barbara Parisse |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T18:54:25Z |
| format | Article |
| id | doaj.art-32eb23d3128a4d13a5dd78876e2015c6 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-10T18:54:25Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-32eb23d3128a4d13a5dd78876e2015c62023-02-01T04:26:27ZengElsevierData in Brief2352-34092023-02-0146108843MADIA - Meteorological variables for agriculture: A dataset for the Italian areaBarbara Parisse0Roberta Alilla1Antonio Gerardo Pepe2Flora De Natale3Corresponding author.; Council for Agricultural Research and Economics–Research Centre for Agriculture and Environment, via della Navicella 4, 00184 Roma, ItalyCouncil for Agricultural Research and Economics–Research Centre for Agriculture and Environment, via della Navicella 4, 00184 Roma, ItalyCouncil for Agricultural Research and Economics–Research Centre for Agriculture and Environment, via della Navicella 4, 00184 Roma, ItalyCouncil for Agricultural Research and Economics–Research Centre for Agriculture and Environment, via della Navicella 4, 00184 Roma, ItalyThe 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.http://www.sciencedirect.com/science/article/pii/S2352340922010460ERA5ReanalysisGridded datasets10-dayEvapotranspirationAnomalies |
| spellingShingle | Barbara Parisse Roberta Alilla Antonio Gerardo Pepe Flora De Natale MADIA - Meteorological variables for agriculture: A dataset for the Italian area Data in Brief ERA5 Reanalysis Gridded datasets 10-day Evapotranspiration Anomalies |
| 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 | ERA5 Reanalysis Gridded datasets 10-day Evapotranspiration Anomalies |
| url | http://www.sciencedirect.com/science/article/pii/S2352340922010460 |
| work_keys_str_mv | AT barbaraparisse madiameteorologicalvariablesforagricultureadatasetfortheitalianarea AT robertaalilla madiameteorologicalvariablesforagricultureadatasetfortheitalianarea AT antoniogerardopepe madiameteorologicalvariablesforagricultureadatasetfortheitalianarea AT floradenatale madiameteorologicalvariablesforagricultureadatasetfortheitalianarea |