ABSTRACT:

This resource contains datasets for the paper “Practical approaches to assess forest management impacts on snowpack and snowmelt with sequential mechanistic and statistical modeling” that is presently under review in the Forest Ecology and Management (manuscript # FORECO-D-25-01271). The items included in this resource include: (a) maps of peak Snow water equivalent (peak SWE at 1m scale) for winters 2018, 2019, and 2020; (b) maps of snow cover duration (SCD at 1m scale) for winters 2018, 2019, and 2020; (c) map of Liquid water input (LWI at 1m scale) for winters 2018, 2019, and 2020; (d) canopy cover fraction map (at 1m scale); (e) Northness map (at 1m scale); (f) Snow environment map (at 1m scale); (g) input dataset for training a random forest model for a winter; and (h) R scripts for training random forest models for peak SWE, SCD, and LWI for a winter for P-dry, P-wet, and M-con sites. Finally, the trained random forest models for peak SWE, SCD, and LWI are included for the P-dry site. The trained models include 1D, 3D, and landscape ecology predictors.

ABSTRACT:

This resource is created to help a reader reproduce our results (including figures) as reported in our paper “How three-dimensional forest structure regulates the amount and timing of snowmelt across a climatic gradient of snow persistence”. The resource is divided into five folders. Folders #1 through #4 contain snow model input and output files for site 1 through site 4, respectively. The folder # 5 has the program files for the SnowPALM model (written in Python).