Abstract. Forests strongly modify the accumulation, metamorphism and melting of snow in mid and high-latitude regions. Recently, snow routines in hydrological and land surface models have been improved to incorporate more accurate representations of forest snow processes, but model inter-comparison 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 2016–17 and 2017–18, 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, instrumentation, and collection methods. The observations include distributed forest characteristics (tree inventory, LIDAR measurements of forest structure, sub-canopy hemispherical photographs), meteorology (automatic weather station and radiometers array), snow cover and depth (snow poles 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 provides 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 http://dx.doi.org/10.17178/SNOUF.2022 (Sicart et al., 2022).

中文翻译：

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中纬度山区针叶林（Col de Porte，法国，海拔 1325 米）的积雪和消融测量：Snow Under Forest 野外活动数据集

摘要。森林强烈改变中高纬度地区积雪的积累、变质和融化。最近，水文和地表模型中的积雪程序得到改进，以更准确地表示森林积雪过程，但模型相互比较项目发现了缺陷，部分原因是对控制森林积雪的过程的了解不完整。森林下雪 (SnoUF) 项目的启动是为了加强对雪和植被之间复杂相互作用的了解。在 2016-17 年和 2017-18 年的冬季，在 Col de Porte（海拔 1325 米，法国阿尔卑斯山）的雪研究边界的针叶林中进行了两次实地考察，以记录积雪和消融过程。本文介绍了野外站点、仪器和收集方法。观测包括分布式森林特征（树木库存、森林结构的激光雷达测量、亚冠层半球照片）、气象学（自动气象站和辐射计阵列）、积雪和深度（雪极横断面和激光扫描）以及雪截获降水事件期间的树冠。第一次活动期间安装在茂密树冠下的气象站自那时起一直得到维护，并自 2018 年以来全年提供连续测量。数据可从格勒诺布尔大学科学天文台 (OSUG) 数据中心的存储库公开获取，网址为http://dx.doi.org/10.17178/SNOUF.2022（Sicart 等人，2022 年）。气象学（自动气象站和辐射计阵列）、积雪和深度（雪极横断面和激光扫描）以及降水事件期间树冠对积雪的拦截。第一次活动期间安装在茂密树冠下的气象站自那时起一直得到维护，并自 2018 年以来全年提供连续测量。数据可从格勒诺布尔大学科学天文台 (OSUG) 数据中心的存储库公开获取，网址为http://dx.doi.org/10.17178/SNOUF.2022（Sicart 等人，2022 年）。气象学（自动气象站和辐射计阵列）、积雪和深度（雪极横断面和激光扫描）以及降水事件期间树冠对积雪的拦截。第一次活动期间安装在茂密树冠下的气象站自那时起一直得到维护，并自 2018 年以来全年提供连续测量。数据可从格勒诺布尔大学科学天文台 (OSUG) 数据中心的存储库公开获取，网址为http://dx.doi.org/10.17178/SNOUF.2022（Sicart 等人，2022 年）。