TY - JOUR
T1 - Snow accumulation and ablation measurements in a mid-latitude mountain coniferous forest (Col de Porte, France, 1325 m alt.)
T2 - The Snow Under Forest (SnoUF) field campaigns dataset
AU - Sicart, Jean Emmanuel
AU - Ramseyer, Victor
AU - Picard, Ghislain
AU - Arnaud, Laurent
AU - Coulaud, Catherine
AU - Freche, Guilhem
AU - Soubeyrand, Damien
AU - Lejeune, Yves
AU - Dumont, Marie
AU - Gouttevin, Isabelle
AU - Le Gac, Erwan
AU - Berger, Frederic
AU - Borgniet, Laurent
AU - Mermin, Eric
AU - Rutter, Nick
AU - Webster, Clare
AU - Essery, Richard
N1 - Funding infromation: This project was conducted within the grant Labex OSUG@2020 ANR10 LABX56 UGA and with financial support from the IGE and the CEN, through a collaboration between the French institutes IGE, CEN and INRAE, and the universities of Edinburgh and Northumbria in the UK. Marie Dumont has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (IVORI; grant no. 949516). We thank Laurent Bourges (CNRS, OSUG) for his support in managing the dataset.
PY - 2023/11/24
Y1 - 2023/11/24
N2 - Forests strongly modify the accumulation, metamorphism and melting of snow in midlatitude and high-latitude regions. Recently, snow routines in hydrological and land surface models were improved to incorporate more accurate representations of forest snow processes, but model intercomparison projects have identified deficiencies, partly due to incomplete knowledge of the processes controlling snow cover in forests. The Snow Under Forest (SnoUF) project was initiated to enhance knowledge of the complex interactions between snow and vegetation. Two field campaigns, during the winters 2016–2017 and 2017–2018, were conducted in a coniferous forest bordering the snow study at Col de Porte (1325 m a.s.l., French Alps) to document the snow accumulation and ablation processes. This paper presents the field site, the instrumentation and the collection and postprocessing methods. The observations include distributed forest characteristics (tree inventory, lidar measurements of forest structure, subcanopy hemispherical photographs), meteorology (automatic weather station and an array of radiometers), snow cover and depth (snow pole transect and laser scan) and snow interception by the canopy during precipitation events. The weather station installed under dense canopy during the first campaign has been maintained since then and has provided continuous measurements throughout the year since 2018. Data are publicly available from the repository of the Observatoire des Sciences de l'Univers de Grenoble (OSUG) data center at https://doi.org/10.17178/SNOUF.2022 (Sicart et al., 2022).
AB - Forests strongly modify the accumulation, metamorphism and melting of snow in midlatitude and high-latitude regions. Recently, snow routines in hydrological and land surface models were improved to incorporate more accurate representations of forest snow processes, but model intercomparison projects have identified deficiencies, partly due to incomplete knowledge of the processes controlling snow cover in forests. The Snow Under Forest (SnoUF) project was initiated to enhance knowledge of the complex interactions between snow and vegetation. Two field campaigns, during the winters 2016–2017 and 2017–2018, were conducted in a coniferous forest bordering the snow study at Col de Porte (1325 m a.s.l., French Alps) to document the snow accumulation and ablation processes. This paper presents the field site, the instrumentation and the collection and postprocessing methods. The observations include distributed forest characteristics (tree inventory, lidar measurements of forest structure, subcanopy hemispherical photographs), meteorology (automatic weather station and an array of radiometers), snow cover and depth (snow pole transect and laser scan) and snow interception by the canopy during precipitation events. The weather station installed under dense canopy during the first campaign has been maintained since then and has provided continuous measurements throughout the year since 2018. Data are publicly available from the repository of the Observatoire des Sciences de l'Univers de Grenoble (OSUG) data center at https://doi.org/10.17178/SNOUF.2022 (Sicart et al., 2022).
U2 - 10.5194/essd-15-5121-2023
DO - 10.5194/essd-15-5121-2023
M3 - Article
SN - 1866-3508
VL - 15
SP - 5121
EP - 5133
JO - Earth System Science Data
JF - Earth System Science Data
IS - 11
ER -