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Datasets supporting "Computationally efficient approaches to reproduce highly resolved snow maps from field study sites across forests with varying weather and management"
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Type: | Resource | |
Storage: | The size of this resource is 15.8 GB | |
Created: | Mar 13, 2025 at 8:44 p.m. | |
Last updated: | Apr 30, 2025 at 7:28 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 47 |
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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.
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How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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