Dataset supporting the publication: A method for identifying the dominant meteorological factors of atmospheric evaporative demand in mid-long term

This Excel file (Data.xlsx) provides the geographic locations of 29 weather stations in the Huaihe River Basin of China and the areal proportion controlled by each station, as well as the meteorological data and atmospheric evaporation demand (AED) data (January 1st 1960 to December 31st 2020) for each station. Specifically, the areal proportion controlled by each station is calculated by the Thiessen polygon method (Hwang, et al., 2020). The meteorological data cover daily sunshine hours, daily average air temperature, daily wind speed, daily relative humidity, daily maximum temperature, daily minimum temperature, and daily average atmospheric pressure. Moreover, the AED is represented by reference crop evapotranspiration that is calculated by the FAO Penman-Monteith model (Allen et al., 1998). These data are used to prove the rationality and effectiveness of the anomaly contribution analysis, which aims to identify the dominant meteorological factors for the AED in mid-long term, and to display detailed temporal driving patterns of different factors on the AED. <strong>References:</strong> Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56 Food and Agriculture Organization, Rome, Italy. Hwang, S.H., Kim, K.B., Han, D., 2020. Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data. J. Hydrol. 588, 125084. https://doi.org/10.1016/j.jhydrol.2020.125084

本Excel文件（Data.xlsx）收录了中国淮河流域29个气象站点的地理位置、各站点控制的区域面积占比，以及1960年1月1日至2020年12月31日期间各站点的气象数据与大气蒸发需求（Atmospheric Evaporation Demand, AED）数据。具体而言，各站点控制的区域面积占比采用泰森多边形法（Thiessen polygon method）计算（Hwang等，2020）。该数据集涵盖的气象数据包括每日日照时数、日平均气温、日平均风速、日平均相对湿度、日最高气温、日最低气温与日平均气压。此外，本数据集的大气蒸发需求以参考作物蒸散量为表征指标，其通过FAO彭曼-蒙特斯模型（FAO Penman-Monteith model）计算得到（Allen等，1998）。本数据集用于验证异常贡献分析方法的合理性与有效性，该分析方法旨在识别中长期尺度下影响大气蒸发需求的主导气象因子，并阐明不同因子对大气蒸发需求的精细时序驱动规律。**参考文献：**1. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. 作物蒸散量：作物需水量计算指南. 联合国粮农组织灌溉与排水丛书第56号，意大利罗马。2. Hwang, S.H., Kim, K.B., Han, D., 2020. 基于雨量计与雷达数据的小流域短历时降雨面平均估算方法对比. 《水文学报》（J. Hydrol.），2020年，第588卷，文章编号125084. https://doi.org/10.1016/j.jhydrol.2020.125084