Meteorological variables for Agriculture: a Dataset for the Italian Area (MADIA)

The dataset is the supplementary material for the following journal paper: Parisse B.*, Alilla R., Pepe A.G., De Natale F., MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460) Abstract The MADIA gridded dataset provides the series of the main agro-meteorological variables derived from ERA5 hourly surface data, across the Italian domain for the period 1981-2022, and their respective 1981-2010 and 1991-2020 climate normals, as well as the following statistics on the 30-year dekadal values of each variable: absolute minimum and maximum, 5th, 10th, 50th, 90th, 95th percentiles. Temporal and spatial resolutions are 10-daily and 0.25 degrees respectively. The dataset contains time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, solar radiation, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method. The dataset is provided in both NetCDF and csv format. In addition, discovery and description metadata are provided. In order to facilitate the data reuse for computing statistics at Italian NUTS 2 and 3 levels, a complementary vector file is provided which reports the cell weight in terms of fraction covered of each administrative unit considered. Another vector file is included with the ERA5 cell polygons covering the Italian country for visualizing and mapping csv data. A daily version of the MADIA dataset (only in csv format) is also available on Zenodo at https://doi.org/10.5281/zenodo.7621453. Both MADIA datasets will be periodically updated. Attached content A ZIP archive composed by the following folders nc_data: annual time series from 1981 to 2022 and climate normals (1981-2010 and 1991-2020) in NetCDF format csv_data: annual time series from 1981 to 2022 and climate normals (1981-2010 and 1991-2020) in csv format metadata: discovery and description metadata shp_data: two complementary vector layers with the NUTS2-3 cover fractions and the ERA5 cell polygons for Italy Acknowledgments This work was supported by the Italian Ministry of Agricultural, Food and Forestry Policies (AgriDigit-Agromodelli, DM n. 36502 of 20/12/2018)本数据集为下述期刊论文的补充材料： Parisse B.*、Alilla R.、Pepe A.G.、De Natale F.，《MADIA——意大利区域农业气象变量数据集》，刊载于《Data in Brief》2023年第46卷，文章编号108843，DOI：10.1016/j.dib.2022.108843，原文链接：https://www.sciencedirect.com/science/article/pii/S2352340922010460 ## 摘要 MADIA网格化数据集基于ERA5逐小时地表数据，生成了1981-2022年意大利全域范围内的主要农业气象变量时序序列，同时附带1981-2010年与1991-2020年两个基准期的气候标准值；此外还包含各变量基于30年逐旬值计算的如下统计指标：绝对极小值、绝对极大值，以及5%、10%、50%、90%、95%分位数。该数据集的时间分辨率为逐旬（10日间隔），空间分辨率为0.25度。 数据集涵盖最低气温、平均气温、最高气温、最低空气相对湿度、最高空气相对湿度、风速、太阳辐射、降水量，以及依据FAO彭曼-蒙特斯（FAO Penman-Monteith）方法计算的参考作物蒸散量的时间序列。数据集以NetCDF与csv两种格式存储，并配套提供发现与描述元数据。 为便于在意大利NUTS 2与NUTS 3行政层级开展统计数据复用，本数据集附带一份补充矢量文件，该文件记录了各目标行政单元所覆盖的网格单元占比（即单元权重）；另有一份矢量文件包含覆盖意大利全境的ERA5网格多边形数据，用于csv格式数据的可视化与制图。 MADIA数据集的日分辨率版本（仅提供csv格式）可在Zenodo平台通过DOI：10.5281/zenodo.7621453获取。 两款MADIA数据集均将定期更新。 ## 附件内容 本数据集为一个ZIP压缩包，内含以下文件夹： - nc_data：存储1981-2022年逐年时序序列与1981-2010、1991-2020年气候标准值的NetCDF格式文件 - csv_data：存储1981-2022年逐年时序序列与1981-2010、1991-2020年气候标准值的csv格式文件 - metadata：存储发现与描述元数据 - shp_data：包含两类互补矢量图层，分别为NUTS 2、NUTS 3行政单元的网格覆盖占比数据，以及覆盖意大利全境的ERA5网格多边形数据 ## 致谢 本研究得到意大利农业、食品与林业政策部（AgriDigit-Agromodelli项目，2018年12月20日第36502号部长令）资助。