Multi-resolution CLM5 simulations across Switzerland

Description

This dataset contains Community Land Model 5 (CLM5) simulation output over the spatial extent of Switzerland at different resolutions and based on a range of input datasets. It further contains land-use surface data used for the CLM5-simulations. **Detailed description of the CLM5 simulation setup and the various input datasets can be found in the accompanying publication: https://doi.org/10.5194/egusphere-2023-1832.** CLM5 simulation output This dataset includes gridded CLM5 simulations of snow depth, gross primary productivity (GPP) and evapotranspiration at different resolutions ( 1km, 0.25° and 0.5°) and based on a range of input datasets over the spatial extent of Switzerland (see folder *gridded_CLM5_simulations*). Additionally, point-scale CLM5 simulations of snow depth and snow-water-equivalent at 36 snow-station locations (see folder *point_scale_CLM5_simulations*) are included. Latitude, longitude and elevation for these station locations can be found in table A1 of the above-mentioned publication. All simulation output spans from 01/01/2015 - 31/12/2019. Included CLM5 simulation results are based on 3 different meteorological forcing datasets: * Clim_CRU: standard global dataset, we used the recent state-of-the-art standrd global dataset CRU-JRA (https://catalogue.ceda.ac.uk/uuid/aed8e269513f446fb1b5d2512bb387ad) * Clim_CRU*: ClimCRU upraded by downscaling temperature data using a temperature lapse rate of -6.5K/1000m and a high-resolution DEM * Clim_OSHD: highest level of detail, meteorological forcing generated according to methods developed by the Operational Snow Hydrological Service (OSHD), at 1km spatial and 1hour temporal resolution Land-use surface data This dataset further includes forcing land surface datasets used for the CLM5 simulations at 1km, 0.25° and 0.5° resolution (see folder *surface_landuse_datasets*). For the 1km resolution both the standard global (LU_Gl) and the high-resolution dataset (LU_HR), which includes a higher level of detail and is based on a more up-to-date land use datase, are provided. More details on these two datasets can be found in the above-mentioned publication.

Resources

Name Format Description Link
57 https://www.envidat.ch/dataset/clm5-snow-gpp-evapo-switzerland/resource/bb64e97d-c86d-491a-8671-b3f010812344
57 https://www.envidat.ch/dataset/clm5-snow-gpp-evapo-switzerland/resource/7e90ee76-d274-4add-8f66-d7f75c1f3621
57 https://www.envidat.ch/dataset/clm5-snow-gpp-evapo-switzerland/resource/2a1eed91-e1dd-41dd-993f-8533051685b9
57 https://www.envidat.ch/dataset/clm5-snow-gpp-evapo-switzerland/resource/7e90ee76-d274-4add-8f66-d7f75c1f3621
57 https://www.envidat.ch/dataset/clm5-snow-gpp-evapo-switzerland/resource/2a1eed91-e1dd-41dd-993f-8533051685b9
57 https://www.envidat.ch/dataset/clm5-snow-gpp-evapo-switzerland/resource/bb64e97d-c86d-491a-8671-b3f010812344

Tags

  • evapotranspiration
  • high-resolution
  • land-use
  • snow
  • oshd
  • land-cover
  • clm5
  • snow-simulation
  • forest-productivity

Topics

  • EDUC

Categories