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来自葡萄牙最大水库的水文气象数据集(2018 - 2023年):2个气象站分别位于水库岸边和中心。

Hydrometeorological dataset (2018-2023) from the largest Portuguese reservoir: 2 weather stations located at the shore and centre of the reservoir.

作者信息

Rodrigues Gonçalo, Purificação Carolina, Potes Miguel, João Costa Maria, Salgado Rui

机构信息

Institute of Earth Sciences-ICT (Polo de Évora), Earth Remote Sensing Laboratory (EaRSLab), Instituto de Investigação e Formação Avançada (IIFA) and Escola de Ciências e Tecnologia (ECT), Universidade de Évora, 7004-516 Évora, Portugal.

出版信息

Data Brief. 2024 Oct 10;57:111020. doi: 10.1016/j.dib.2024.111020. eCollection 2024 Dec.

Abstract

The databases provided for two meteorological stations installed in the Alqueva reservoir (the largest artificial lake in Europe), one located on a floating platform and the other on the shore (approximately 1 km away in a straight line), cover a period of 6 years, from 2018 to 2023. The data available are, the hourly accumulated precipitation as well as the hourly averages of surface water temperature (0.25 m of depth), soil temperature, and meteorological parameters (wind intensity and direction, relative humidity, upward/downward solar radiation, air temperature, and relative humidity). Additionally, daily maximum and minimum values of the air temperature and relative humidity are provided, together with the time at which they were recorded. These data can potentially be used for various purposes, including hydrometeorological analysis, monitoring and assessing local environmental conditions, analysing local meteorological patterns, integrating or validating results from high-resolution numerical model simulations, or gaining a better understanding of changes in water quality or microalgae blooms in large reservoirs. The percentage of failures/gaps per parameter for each hour and day is provided to give users the flexibility to choose their own requirements regarding the maximum acceptable limit.

摘要

为阿尔克瓦水库(欧洲最大的人工湖)安装的两个气象站提供的数据涵盖了2018年至2023年的6年时间。这两个气象站,一个位于浮动平台上,另一个位于岸边(直线距离约1公里)。可用数据包括每小时累积降水量以及地表水温度(深度0.25米)、土壤温度和气象参数(风速和风向、相对湿度、向上/向下太阳辐射、气温和相对湿度)的每小时平均值。此外,还提供了气温和相对湿度的每日最高值和最低值以及记录时间。这些数据可潜在地用于各种目的,包括水文气象分析、监测和评估当地环境条件、分析当地气象模式、整合或验证高分辨率数值模型模拟的结果,或更好地了解大型水库水质变化或微藻水华情况。提供了每个小时和每天每个参数的故障/缺失百分比,以便用户能够灵活选择自己关于最大可接受限度的要求。

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