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: Lackner, Georg, Domine, Florent, Sarrazin, Denis, Nadeau, Daniel, Belke-Brea, Maria
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: dataset; forest-tundra ecotone; meteorological data; snow; Soil; Umiujaq; Event label; DATE/TIME; Vegetation type; Snow height; Temperature, ice/snow; Conductivity, thermal; Field measurement; Sonic Ranging Sensor, Campbell Scientific, SR50; Thermal properties sensor, Hukseflux, TP08; Arctic; Tundra
• Online Access: https://dx.doi.org/10.1594/pangaea.946524; https://doi.pangaea.de/10.1594/PANGAEA.946524

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 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 mostly of tall shrubs and black spruce. 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 field campaigns.This data set comprises snow temperature- and thermal conductivity measurements from both the tundra and forest vegetation zone. ...