Estimating snow water equivalent using cosmic-ray neutron sensors from the COSMOS-UK network
Estimating snow water equivalent using cosmic-ray neutron sensors from the COSMOS-UK network
复制标题
使用 COSMOS-UK 网络的宇宙射线中子传感器估算雪水当量
DOI：
10.1002/hyp.14048
复制
发表时间：
2021
影响因子：
3.2
通讯作者：
Wallbank J
中科院分区：
文献类型：
--
作者：
Wallbank J
宇宙射线中子的强度与周围环境中存在的水的数量呈负相关。这种效应已经被COSMOS-UK网络中的大约50个中子传感器所采用，以提供英国各地土壤湿度的每日估计。在这里，这些相同的传感器用于自动提供雪水当量（SWE）的估计。在英国大部分地区，积雪通常是短暂的，而且深度很浅。此外，土壤湿度通常很高且变化不定，这增加了SWE估计的不确定性。尽管如此，即使在这种具有挑战性的条件下，地上和地下的宇宙射线中子传感器仍然能够产生潜在有用的SWE估计。三重配置分析表明，在英国降雪条件下，典型的不确定性小于4 mm左右。
The intensity of cosmic ray neutrons is inversely correlated with the amount of water present in the surrounding environment. This effect is already employed by around 50 neutron sensors in the COSMOS‐UK network to provide daily estimates of soil moisture across the UK. Here, these same sensors are used to automatically provide estimates of snow water equivalent (SWE). Lying snow is typically ephemeral and of shallow depth for most parts of the UK. Moreover, soil moisture is usually high and variable, which acts to increase uncertainties in the SWE estimate. Nevertheless, even under such challenging conditions, both above ground and buried cosmic ray neutron sensors are still able to produce potentially useful SWE estimates. Triple collocation analysis suggests typical uncertainties of less than around 4 mm under UK snow conditions.