Patterns of trends in niveograph characteristics across the western United States from snow telemetry data
作者机构:ESS-Watershed ScienceColorado State UniversityFort CollinsCO 80523-1472USA Cooperative Institute for Research in the AtmosphereColorado State UniversityFort CollinsCO 80523-1375USA Natural Resources Ecology LaboratoryColorado State UniversityFort CollinsCO 80523-1499USA Instituto Pirenaico de EcologíaCSICCampus de Aula Dei 50080Spain
出 版 物:《Frontiers of Earth Science》 (地球科学前沿(英文版))
年 卷 期:2020年第14卷第2期
页 面:315-325页
核心收录:
学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学]
主 题:snow water equivalent cluster analysis SNOTEL
摘 要:The snowpack is changing across the globe,as the climate warms and *** used daily snow water equivalent(SWE)niveograph(time series of SWE)data from 458 snow telemetry(SNOTEL)stations for the period 1982 through *** indices based on amount,timing,time length,and rates were used to describe the annual temporal evolution in SWE accumulation and *** trends in these annual indices were computed over the time period for each station using the Theil-Sen *** trends were then clustered into four groups to determine the spatial pattern of SWE *** and precipitation data were extracted from the PRISM data set,due to the shorter time period of temperature measurement at the SNOTEL *** show that SNOTEL stations can be clustered in four clusters according to the observed trends in snow *** 1 stations are mostly located in the Eastern-and South-eastern most parts of the study area and they exhibit a generalized decrease in the indices related with peak SWE and snow *** stations recorded a negative trend in precipitation and an increase in *** 4 that is mostly restricted to the North and North-west of the study area shows an almost opposite pattern to cluster 1,due to months with positive trends and a more moderate increase of *** grouped in clusters 2 and 3 appear mixed with clusters 1 and 4,in general they show very little trends in the snow indices.