chm-hp-4rtm
1.0
Forest canopy structure data for radiation and snow modelling (CH/FIN)
Giulia Mazzotti, Clare Webster, Tobias Jonas
Giulia Mazzotti
Forest canopy structure data for radiation and snow modelling (CH/FIN)
2020
Birmensdorf, Switzerland
EnviDat
1.0
.zip,ascii x, y, z
DOI
doi:10.16904/envidat.220
https://www.envidat.ch/dataset/chm-hp-4rtm
TECHNICAL CONTACT
Giulia
Mazzotti
giulia.mazzotti@slf.ch
EARTH SCIENCE
CLIMATE INDICATORS
LAND SURFACE/AGRICULTURE INDICATORS
environment
ENERGY BALANCE
FOREST CANOPY
MASS BALANCE
SNOW MODELLING
UPSCALING
Not provided
Not provided
Not provided
2020-01-01
COMPLETE
CARTESIAN
CARTESIAN
18.254223786727906
57.10612951425529
46.845432
67.36682702851057
9.871859
26.63658857345581
9.871859
46.845432
26.63658857345581
67.36682702851057
Not provided
Public access to the data
Usage constraintes defined by the license "WSL Data Policy", see https://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html
English
Snow Hydrology
DISTRIBUTOR
WSL
Swiss Federal Institute for Forest, Snow and Landscape Research WSL
https://www.wsl.ch
DATA CENTER CONTACT
EnviDat
envidat@wsl.ch
https://www.envidat.ch/envidat_thumbnail.png
This dataset contains forest canopy structure data acquired in a spruce forest at Laret, Switzerland, and a pine forest at Sodankylä, Finland. Data include: * Hemispherical photographs taken at transect intersection points of 13 experimental plots (40x40m each) * a Canopy Height Model (tree height map) derived by rasterizing airborne LiDAR data, encompassing the entire simulation domain at Laret (150'000 m2) These data provide the necessary basis for creating canopy structure datasets to be used as input to the forest snow snow model FSM2. These datasets, the model input derivatives and the radiation and snow modelling are described in detail in the following publication: _Mazzotti, G., Webster, C., Essery, R., and Jonas, T. (2021) Improving the physical representation of forest snow processes in coarse-resolution models: lessons learned from upscaling hyper-resolution simulations. Water Resources Research 57, e2020WR029064. [doi: 10.1029/2020WR029064](https://doi.org/10.1029/2020WR029064)_ This publication must be cited when using the data. ### See also: For additional information on the FSM2 model, see the corresponding [GitHub repository](https://github.com/GiuliaMazzotti/FSM2/tree/hyres_enhanced_canopy) The datasets and the model have also been used in _Mazzotti et al. (2020) Process-level evaluation of a hyper-resolution forest snow model using distributed multi-sensor observations. [doi: 10.1029/2020WR027572](https://doi.org/10.1029/2020WR027572)
https://www.envidat.ch/dataset/chm-hp-4rtm
gcmd_dif
VERSION 10.2
2020-10-22T19:57:45.319314
2021-08-23T14:17:32.548676
2020-10-22T19:57:45.319314
2021-08-23T14:17:32.548676
False