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首页> 外文期刊>International Journal of Spatial Data Infrastructures Research >Assessment of multi-scale drought datasets to quantify drought severity and impacts in agriculture: a case study for Slovenia
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Assessment of multi-scale drought datasets to quantify drought severity and impacts in agriculture: a case study for Slovenia

机译：评估多尺度干旱数据集以量化干旱严重程度及其对农业的影响：斯洛文尼亚的案例研究

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摘要

Real-time information on the development of the drought conditions is one of the fundamental requisites for reinforcing the drought mitigation and preparedness. The EuroGEOSS interoperability approach promotes the development of monitoring and early warning systems based on real-time information. Different climatic databases, which are based on publicly available meteorological information, are available on real time by climatic research institutions. Commonly, publicly available information has much lower spatial resolution than the existing available national datasets. The capability of low resolution climatic datasets to quantify drought severity and drought impacts is limited and has therefore been analysed in the framework of the EuroGEOSS project. Initial operating capacity, which was built during the project, provided the framework for the analysis. The Standardized Precipitation Index, obtained from the low-resolution precipitation datasets, has been compared to the national high-resolution datasets in Slovenia. The areas of low spatial agreement between different drought datasets were determined. In addition, various statistical measures were used to compare the drought characteristics, originating from different drought datasets. Furthermore, the capabilities of these datasets to identify the drought impacts in different drought prone systems were analyzed. Even though, low resolution datasets failed to realistically detect the spatial patterns of specific drought episodes, they were able to reproduce the general drought temporal variability, especially at the short time scales. The low resolution dataset also provided reliable outputs in terms of knowing the impacts of drought on agriculture.
机译：关于干旱状况发展的实时信息是加强干旱缓解和备灾的基本条件之一。 EuroGEOSS互操作性方法促进了基于实时信息的监视和预警系统的开发。气候研究机构可以实时获取基于公开的气象信息的不同气候数据库。通常，公开可用信息的空间分辨率远低于现有可用国家数据集的空间分辨率。低分辨率气候数据集量化干旱严重程度和干旱影响的能力是有限的，因此已经在EuroGEOSS项目的框架中进行了分析。在项目期间建立的初始运行能力为分析提供了框架。从低分辨率降水数据集获得的标准化降水指数已与斯洛文尼亚的国家高分辨率数据集进行了比较。确定了不同干旱数据集之间空间一致性较低的区域。此外，还使用了各种统计手段来比较源自不同干旱数据集的干旱特征。此外，分析了这些数据集识别不同易旱系统中干旱影响的能力。尽管低分辨率数据集无法真实地检测出特定干旱事件的空间格局，但它们仍能够再现一般干旱的时间变异性，尤其是在短时间尺度上。在了解干旱对农业的影响方面，低分辨率数据集还提供了可靠的输出。

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