Clare Webster

• Bruggisser, Moritz; Wang, Zuyuan; Ginzler, Christian; Webster, Clare & Waser, Lars T. (2024). Characterization of forest edge structure from airborne laser scanning data. Ecological Indicators. ISSN 1470-160X. 159. doi: 10.1016/j.ecolind.2024.111624.
• Zellweger, Florian; Sulmoni, Eric; Malle, Johanna; Baltensweiler, Andri; Jonas, Tobias & Zimmermann, Niklaus E. [Show all 11 contributors for this article] (2024). Microclimate mapping using novel radiative transfer modelling. Biogeosciences. ISSN 1726-4170. 21(2), p. 605–623. doi: 10.5194/bg-21-605-2024. Full text in Research Archive Show summary

  In mountain regions, forests that overlap with seasonal snow mostly reside in complex terrain. Due to persisting major observational challenges in these environments, the combined impact of forest structure and topography on seasonal snow cover dynamics is still poorly understood. Recent advances in forest snow process representation and increasing availability of detailed canopy structure datasets, however, now allow for hyper-resolution (

• Sicart, Jean Emmanuel; Ramseyer, Victor; Picard, Ghislain; Arnaud, Laurent; Coulaud, Catherine & Freche, Guilhem [Show all 18 contributors for this article] (2023). Snow accumulation and ablation measurements in a midlatitude mountain coniferous forest (Col de Porte, France, 1325 m altitude): the Snow Under Forest (SnoUF) field campaign data set. Earth System Science Data. ISSN 1866-3508. 15(11), p. 5121–5133. doi: 10.5194/essd-15-5121-2023. Full text in Research Archive Show summary

  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).

• Mott, Rebecca; Winstral, Adam; Cluzet, Bertrand; Helbig, Nora; Magnusson, Jan & Mazzotti, Giulia [Show all 10 contributors for this article] (2023). Operational snow-hydrological modeling for Switzerland. Frontiers in Earth Science. ISSN 2296-6463. 11. doi: 10.3389/feart.2023.1228158. Full text in Research Archive
• Mazzotti, Giulia; Webster, Clare; Quéno, Louis; Cluzet, Bertrand & Jonas, Tobias (2023). Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests. Hydrology and Earth System Sciences (HESS). ISSN 1027-5606. 27(11), p. 2099–2121. doi: 10.5194/hess-27-2099-2023. Full text in Research Archive
• Webster, Clare; Essery, Richard; Mazzotti, Giulia & Jonas, Tobias (2023). Using just a canopy height model to obtain lidar-level accuracy in 3D forest canopy shortwave transmissivity estimates. Agricultural and Forest Meteorology. ISSN 0168-1923. 338. doi: 10.1016/j.agrformet.2023.109429. Full text in Research Archive

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• Treichler, Désirée; Mazzolini, Marco; Piermattei, Livia; Webster, Clare; Girod, Luc & Bühler, Yves (2023). Spaceborne snow depth measurements from ICESat-2 laser altimetry.
• Treichler, Désirée; Mazzolini, Marco; Piermattei, Livia; Webster, Clare; Girod, Luc & Aalstad, Kristoffer [Show all 7 contributors for this article] (2023). SNOWDEPTH: Spaceborne snow depth measurements from ICESat-2 laser altimetry and data assimilation.
• Treichler, Désirée; Mazzolini, Marco; Piermattei, Livia; Webster, Clare & Girod, Luc (2022). Spaceborne snow depth measurements from ICESat-2 laser altimetry.

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