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McMaster Mesonet soil moisture dataset: Description and spatio-temporal variability analysis

机译:McMaster Mesonet土壤湿度数据集:描述和时空变异性分析

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This paper introduces and describes the hourly, high-resolution soil moisture dataset continuously recorded by the McMaster Mesonet located in the Hamilton-Halton Watershed in Southern Ontario, Canada. The McMaster Mesonet consists of a network of time domain reflectometer (TDR) probes collecting hourly soil moisture data at six depths between 10 cm and 100 cm at nine locations per site, spread across four sites in the 1250 km~2 watershed. The sites for the soil moisture arrays are designed to further improve understanding of soil moisture dynamics in a seasonal climate and to capture soil moisture transitions in areas that have different topography, soil and land cover. The McMaster Mesonet soil moisture constitutes a unique database in Canada because of its high spatio-temporal resolution. In order to provide some insight into the dominant processes at the McMaster Mesonet sites, a spatio-temporal and temporal stability analysis were conducted to identify spatio-temporal patterns in the data and to suggest some physical interpretation of soil moisture variability. It was found that the seasonal climate of the Great Lakes Basin causes a transition in soil moisture patterns at seasonal timescales. During winter and early spring months, and at the meadow sites, soil moisture distribution is governed by topographic redistribution, whereas following efflorescence in the spring and summer, soil moisture spatial distribution at the forested site was also controlled by vegetation canopy. Analysis of short-term temporal stability revealed that the relative difference between sites was maintained unless there was significant rainfall (> 20 mm) or wet conditions a priori. Following a disturbance in the spatial soil moisture distribution due to wetting, the relative soil moisture pattern re-emerged in 18 to 24 h. Access to the McMaster Mesonet data can be provided by visiting hrefCombining double low line"http://www.hydrology.mcmaster.ca/ mesonet"targetCombining double low line"-blank">www.hydrology. mcmaster.ca/mesonet.
机译:本文介绍并描述了每小时的高分辨率土壤湿度数据集,该数据集由位于加拿大安大略省南部汉密尔顿-汉尔顿分水岭的McMaster Mesonet连续记录。 McMaster Mesonet由时域反射计(TDR)探头网络组成,该探头在每个站点的9个位置的10 cm至100 cm的六个深度处收集每小时土壤湿度数据,分布在1250 km〜2流域的四个站点中。土壤湿度阵列的位置旨在进一步增进人们对季节性气候中土壤水分动态的了解,并捕获具有不同地形,土壤和土地覆盖率的区域中土壤水分的变化。 McMaster Mesonet土壤水分因其高的时空分辨率而在加拿大构成了一个独特的数据库。为了提供对McMaster Mesonet站点主要过程的一些见识,进行了时空和时间稳定性分析,以识别数据中的时空模式,并提出对土壤水分变异性的一些物理解释。人们发现,大湖流域的季节性气候在季节尺度上导致土壤水分模式的转变。在冬季和春季初的几个月,以及在草地场所,土壤水分的分布受地形的重新分布控制,而在春季和夏季风化之后,林地的土壤水分的空间分布也受到植被冠层的控制。短期时间稳定性分析表明,除非事先有大量降雨(> 20 mm)或先于潮湿条件,否则站点之间的相对差异得以保持。在由于湿润而扰乱了空间土壤水分分布之后,相对土壤水分模式在18至24小时内重新出现。可以通过访问hrefCombining 双低线”http://www.hydrology.mcmaster.ca/ mesonet“targetCombining 双低线”-blank"> www.hydrology来访问McMaster Mesonet数据。 mcmaster.ca/mesonet。

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