Distributed sub-canopy datasets from mobile multi-sensor platforms (CH / FIN, 2018-2019) for hyper-resolution forest snow model evaluation ...

• Main Authors: Mazzotti, Giulia, Malle, Johanna, Jonas, Tobias
• Format: Dataset
• Language: English
• Published: EnviDat 2020
• Subjects: FOREST SNOW; FOREST STRUCTURE; METEOROLOGICAL DATA; SNOW ENERGY BALANCE; SNOW MODELS; Malle; Sodankylä
• Online Access: https://dx.doi.org/10.16904/envidat.162; https://envidat.ch/#/metadata/distributed-subcanopy-datasets

This dataset contains datasets of sub-canopy meteorological variables acquired in coniferous forest stands in Switzerland (Davos, Engadine) and Finland (Sodankylä) during the winters 2018 and 2019. The data are presented and used in the publication: Mazzotti, G., Essery, R., Webster, C., Malle, J., & Jonas T. (2020) Process-level evaluation of a high-resolution forest snow model using observations from mobile multi-sensor platforms Water Resources Research, under review The above publication must be cited when using this dataset, and the user is referred to the publication for additional detail. Data are grouped into 4 folders: 1) Point data includes wind speed data measured with stationary meteorological stations 2) Transect data includes data of incoming short- and longwave radiation, air and snow surface temperature acquired with an automated calblecar system along within-stand transects 3) Grid data includes data of incoming short- and longwave radiation, air and snow surface temperature acquired on ...