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Development of a Station Based Climate Database for SWAT and APEX Assessments in the US

机译:在美国开发用于SWAT和APEX评估的基于站点的气候数据库

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Water quality simulation models such as the Soil and Water Assessment Tool (SWAT) and Agricultural Policy EXtender (APEX) are widely used in the US. These models require large amounts of spatial and tabular data to simulate the natural world. Accurate and seamless daily climatic data are critical for accurate depiction of the hydrologic cycle, yet these data are among the most difficult to obtain and process. In this paper we describe the development of a national (US) database of preprocessed climate data derived from monitoring stations applicable to USGS 12-digit watersheds. Various sources and processing methods are explored and discussed. A relatively simple method was employed to choose representative stations for each of the 83,000 12-digit watersheds in the continental US. Fully processed climate data resulting from this research were published online to facilitate other SWAT and APEX modeling efforts in the US.
机译:水质模拟模型,例如土壤和水评估工具(SWAT)和农业政策扩展程序(APEX),在美国得到了广泛使用。这些模型需要大量的空间和表格数据来模拟自然界。准确和无缝的每日气候数据对于准确描述水文循环至关重要,但是这些数据是最难获得和处理的数据之一。在本文中,我们描述了国家(美国)预处理气候数据数据库的开发,该数据库来自适用于USGS 12位流域的监测站。探索和讨论了各种来源和处理方法。我们采用了一种相对简单的方法来为美国大陆上的83,000个12位数集水区中的每一个选择代表站。这项研究得到的经过全面处理的气候数据已在线发布,以促进美国的其他SWAT和APEX建模工作。

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