Dataset: Approximating input data to a snowmelt model using Weather Research and Forecasting model outputs in lieu of meteorological measurements

The dataset presented is the companion data to the Journal of Hydrometeorology publication entitled “Approximating input data to a snowmelt model using Weather Research and Forecasting model outputs in lieu of meteorological measurements.” The data that follows contains everything needed to reproduce the spatial inputs for the meteorological station model run using the Spatial Modeling for Resources Framework (SMRF, Havens et al., 2017).

Software versions used:

• Image Processing Workbench v2.2.0 (Marks et al., 2017)
• Spatial Modeling for Resources Framework v0.5.3 (Havens et al., 2019)

NOTE: Reproducing the spatial inputs will generate 10 netCDF files at ~80GB per file.

topo.nc – Contains multiple static layers that are required to run SMRF and iSnobal. The netCDF layers are:

• dem – digital elevation model at 100 meter resolution, aggregated from the 10 meter National Elevation Dataset (Archuleta et al., 2017)
• mask – basin mask for the Boise River Basin
• veg_height – vegetation height in meters from the National Land Cover Database (Homer et al., 2015)
• veg_type – vegetation type from the National Land Cover Database
• veg_tau – vegetation fractional transmissivity derived from the vegetation type
• veg_k – vegetation emissivity derived from the vegetation type

maxus.nc – maximum upwind slope netCDF that contains 72 images for all wind directions in 5 degree increments using the algorithm described in Winstral and Marks (2002)

Station data:

• Contains hourly meteorological station data downloaded from Mesowest (Horel et al., 2002). Data was cleaned and filtered prior to running SMRF.
• metadata.csv – metadata for 40 stations
• air_temp.csv – 38 stations
• cloud_factor.csv – 7 stations
• precip.csv – 21 stations
• vapor_pressure.csv – 19 stations
• wind_direction.csv – 14 stations
• wind_speed.csv – 14 stations

smrf_config.ini – Configuration file needed to reproduce the spatial inputs using SMRF. The paths will need to be changed to reflect the data location.