DOI: 10.16904/envidat.525
title: 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-/li-
 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.
description: Resource Title: gridded_CLM5_simulations.zip
 Size: 1275381556 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/5c9bd5b4-baf0-4aa3-83c0-0864f9275f4e/resource/2a1eed91-e1dd-41dd-993f-8533051685b9/download/gridded_clm5_simulations.zip
 Description: 12 gridded CLM5 simulations over the spatial extent of Switzerland:
- 1km, 0.25deg, 0.5deg
- 3 different meteorological forcings (Clim_CRU, CLIM_CRU*, CLIM_OSHD)
- 2 different land use forcings
each with the following outputs: 
- daily snow depth (file SNOW_DEPTH.nc)
- monthly summed gross primary production (file FPSN_MONTH_SUM.nc) 
- monthly summed evapotranspiration (file QFLX_EVAP_TOT_MONTH_SUM.nc).
Temporal extent of all simulations: 01/01/2015 - 31/12/2020.
description: Resource Title: point_scale_CLM5_simulations.zip
 Size: 4515857 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/5c9bd5b4-baf0-4aa3-83c0-0864f9275f4e/resource/7e90ee76-d274-4add-8f66-d7f75c1f3621/download/point_scale_clm5_simulations.zip
 Description: Point-scale CLM5 simulation output of snow depth and snow water equivalent for 9 different simulation scenarios, each performed at 36 snow station locations across Switzerland. Please have a look at table A1 in the appendix of the linked publication for coordinates of the stations. Additional information on the setup, and the differences between simulation setups can also be found in the linked publication.
description: Resource Title: surface_landuse_datasets.zip
 Size: 127856024 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/5c9bd5b4-baf0-4aa3-83c0-0864f9275f4e/resource/bb64e97d-c86d-491a-8671-b3f010812344/download/surface_landuse_datasets.zip
 Description: Forcing land surface datasets used for the CLM5 simulations at 1km, 0.25° and 0.5° resolution. For the 1km resolution both the standard global (LU_Gl) and the high-resolution dataset (LU_HR) are provided.