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High-resolution hydrometeorological data from a network of headwater catchments in the tropical Andes

机译:来自热带安第斯山脉上游水源流域网络的高分辨率水文气象数据

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摘要

This article presents a hydrometeorological dataset from a network of paired instrumented catchments, obtained by participatory monitoring through a partnership of academic and non-governmental institutions. The network consists of 28 headwater catchments (<20 km2) covering three major biomes in 9 locations of the tropical Andes. The data consist of precipitation event records at 0.254 mm resolution or finer, water level and streamflow time series at 5 min intervals, data aggregations at hourly and daily scale, a set of hydrological indices derived from the daily time series, and catchment physiographic descriptors. The catchment network is designed to characterise the impacts of land-use and watershed interventions on the catchment hydrological response, with each catchment representing a typical land use and land cover practice within its location. As such, it aims to support evidence-based decision making on land management, in particular evaluating the effectiveness of catchment interventions, for which hydrometeorological data scarcity is a major bottleneck. The data will also be useful for broader research on Andean ecosystems, and their hydrology and meteorology.
机译:本文介绍了成对的仪器仪表集水区网络中的水文气象数据集,该数据集是通过学术机构和非政府机构的合作性参与式监测获得的。该网络由28个源头流域(<20 km 2 )组成,覆盖了热带安第斯山脉9个地点的三个主要生物群落。数据包括分辨率为0.254 mm或更细的降水事件记录,每隔5 min间隔的水位和水流时间序列,每小时和每日尺度的数据汇总,从每日时间序列中得出的一组水文指数以及集水区的生理特征。流域网络旨在表征土地利用和流域干预对流域水文响应的影响,每个流域代表其所在位置的典型土地利用和土地覆盖实践。因此,它旨在支持基于证据的土地管理决策,尤其是评估集水区干预措施的有效性,而水文气象数据稀缺是主要瓶颈。这些数据还将对安第斯生态系统及其水文学和气象学的广泛研究有用。

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