Snow temperature- and thermal conductivity data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

• Main Authors: Domine, Florent, Sarrazin, Denis, Nadeau, Daniel, Lackner, Georg, Belke-Brea, Maria
• Format: Dataset
• Language: English
• Published: PANGAEA 2024
• Subjects: Conductivity; thermal; dataset; DATE/TIME; Event label; Field measurement; forest-tundra ecotone; Hudson Bay; meteorological data; snow; Snow height; Soil; Temperature; ice/snow; Thermal properties sensor; Hukseflux; TP08; Umiujaq; Umiujaq_2012-2021_Tundra; Umiujaq_2015-2021_Forest; Vegetation type; Arctic; Canada; Hudson; Tundra
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.964753; https://doi.org/10.1594/PANGAEA.964753

The data collection contains meteorological, soil and snow measurements from two nearby sites in the forest-tundra ecotone in the Tasiapik valley near Umiujaq in northern Quebec, Canada. One site is on a mixture of lichen and low shrub tundra and the data set there comprises 9 years of meteorological, soil and snow data as well as 3 years of eddy covariance data. The other site, 850 m away, features vegetation consisting of black spruce, tall shrubs and grass. There, 6 years of meteorological, soil and snow data are available. In addition to the data from the automated stations, profiles of snow density and specific surface area were collected during winter field campaigns. This data set comprises snow temperature- and thermal conductivity measurements from both the tundra and forest vegetation zone.