Elevation distributed micro-climatology data in a coastal glaciated watershed
Elevation distributed micro-climatology data in a coastal glaciated watershed
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沿海冰川流域的高程分布微气候数据
DOI：
10.1016/j.dib.2020.105578
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发表时间：
2020
期刊：
影响因子：
1.2
通讯作者：
Beveridge, Claire
中科院分区：
文献类型：
--
作者：
Bandaragoda, Christina;Beaulieu, Jezra;Cristea, Nicoleta;Beveridge, Claire
在海拔500~1800m的Nooksack流域纵向样带上采集了气温、地温和相对湿度数据。数据是通过锚定传感器从冬季积雪水平以上的树木上收集的，并遮蔽了太阳的直接辐射。成对的传感器也被埋在每个空气温度传感器附近地下3厘米处，以确定是否有雪。选定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，每隔3-4小时收集一次数据(正在进行收集)。日平均值、最小值、最大值和温度随海拔(流失率)变化的分析代码可在Github(https://doi.org/10.5281/zenodo.3239539).)上找到传感器下载和中间数据产品可在(http://www.hydroshare.org/resource/222e832d3df24dea9bae9bbeb6f4219d)上下载，并可从诺克萨克天文台的data.cuahsi.org公开获取可视化信息。水文模型一般由单一的年平均流失率参数构成，该参数假定温度梯度与海拔高度呈线性关系。每日数据(2016-2018年)被用作正在进行的温度随海拔变化的非线性动态和时间变异性研究的一部分，以改进对流域功能和鲑鱼栖息地的评估。
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 (https://doi.org/10.5281/zenodo.3239539). The sensor download and intermediate data products are available on HydroShare at (http://www.hydroshare.org/resource/222e832d3df24dea9bae9bbeb6f4219d) 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.
基于区域气候模型模拟的太平洋西北部二十一世纪洪水风险估计
影响因子：
3.8
作者：
E. Salathe;A. Hamlet;C. Mass;Se‐Yeun Lee;Matt Stumbaugh;Richard C. Steed
通讯作者：
Richard C. Steed
影响因子：
3.8
作者：
Henn, Brian;Raleigh, Mark S.;Lundquist, Jessica D.
通讯作者：
Lundquist, Jessica D.