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Elevation distributed micro-climatology data in a coastal glaciated watershed

机译:沿海冰川流域的高程分布微气候数据

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摘要

Air temperature, ground temperature and relative humidity data were collected in a longitudinal transect of the Nooksack watershed at varying elevations from 500 to 1800 m above sea level. Data were collected by anchoring sensors from trees above winter snow levels and shaded from direct solar radiation. Paired sensors were also buried 3 cm under ground near each air temperature sensor to determine snow absence or presence. Select sites included relative humidity sensors to indicate whether precipitation was occurring. Data were collected every 3-4 h from December 2015 to Sept 2018 (with ongoing collection). Code for analysis of daily mean, minimum, maximum, and temperature change with elevation (lapse rates) are available on Github ( ). The sensor download and intermediate data products are available on HydroShare at ( ) with publicly accessible visualization available from the Nooksack Observatory at data.cuahsi.org. Hydrologic models are generally structured with a single annual average lapse rate parameter which assumes a linear temperature gradient with elevation. The daily data (2016-2018) is used as part of ongoing studies on the non-linear dynamics and temporal variability of temperature with elevation to improve assessments of watershed function and salmon habitat.
机译:空气温度,地温和相对湿度数据是在海拔500至1800 m的不同海拔的Nooksack流域的纵向剖面中收集的。通过锚定传感器从冬季降雪以上的树木收集数据,并遮挡太阳直射辐射。配对的传感器也埋在每个空气温度传感器附近3厘米的地下,以确定是否存在积雪。选择的地点包括相对湿度传感器,以指示是否正在发生降水。从2015年12月到2018年9月每3-4小时收集一次数据(正在进行收集)。 Github()上提供了分析每日平均,最小,最大和温度随海拔(下降率)变化的代码。传感器下载和中间数据产品可在HydroShare的()上获得,并且可以从Nooksack天文台的data.cuahsi.org网站上公开获取的可视化信息。水文模型通常由单个年度平均流失率参数构成,该参数假定温度线性升高。日常数据(2016-2018年)被用作正在进行的有关温度随时间变化的非线性动力学和时间变化的研究的一部分,以改善对流域功能和鲑鱼栖息地的评估。

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