@article{fdi:010089587,
  title = {{S}now accumulation and ablation measurements in a midlatitude mountain coniferous forest ({C}ol de {P}orte, {F}rance, 1325 m altitude) : the {S}now {U}nder {F}orest ({S}no{UF}) field campaign data set},
  author = {{S}icart, {J}ean-{E}mmanuel and {R}amseyer, {V}ictor and {P}icard, {G}. and {A}rnaud, {L}. and {C}oulaud, {C}. and {F}reche, {G}. and {S}oubeyrand, {D}. and {L}ejeune, {Y}. and {D}umont, {M}. and {G}outtevin, {I}. and {L}e {G}ac, {E}. and {B}erger, {F}. and {M}onnet, {J}. {M}. and {B}orgniet, {L}. and {M}ermin, {E}. and {R}utter, {N}. and {W}ebster, {C}. and {E}ssery, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{F}orests strongly modify the accumulation, metamorphism and melting of snow in midlatitude and high-latitude regions. {R}ecently, 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. {T}he {S}now {U}nder {F}orest ({S}no{UF}) project was initiated to enhance knowledge of the complex interactions between snow and vegetation. {T}wo field campaigns, during the winters 2016-2017 and 2017-2018, were conducted in a coniferous forest bordering the snow study at {C}ol de {P}orte (1325 m a.s.l., {F}rench {A}lps) to document the snow accumulation and ablation processes. {T}his paper presents the field site, the instrumentation and the collection and postprocessing methods. {T}he 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. {T}he 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. {D}ata are publicly available from the repository of the {O}bservatoire des {S}ciences de l'{U}nivers de {G}renoble ({OSUG}) data center at 10.17178/{SNOUF}.2022 ({S}icart et al., 2022).},
  keywords = {{FRANCE} ; {ALPES}},
  booktitle = {},
  journal = {{E}arth {S}ystem {S}cience {D}ata},
  volume = {15},
  numero = {11},
  pages = {5121--5133},
  ISSN = {1866-3508},
  year = {2023},
  DOI = {10.5194/essd-15-5121-2023},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089587},
}