Datasets supporting "Computationally efficient approaches to reproduce highly resolved snow maps from field study sites across forests with varying weather and management"

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.

本数据集配套于已投送至《Forest Ecology and Management》（稿件编号：FORECO-D-25-01271）、题为《结合序贯机理与统计建模评估森林管理对积雪储量及融雪过程影响的实用方法》的同行评议待审论文。本数据集包含如下内容：(a) 2018、2019、2020冬季的1米分辨率峰值雪水当量（peak Snow water equivalent, peak SWE）分布图；(b) 2018、2019、2020冬季的1米分辨率积雪覆盖时长（snow cover duration, SCD）分布图；(c) 2018、2019、2020冬季的1米分辨率液态水输入量（Liquid water input, LWI）分布图；(d) 1米分辨率冠层覆盖度分布图；(e) 1米分辨率北向度（Northness）分布图；(f) 1米分辨率积雪环境分布图；(g) 单冬季随机森林模型训练用输入数据集；(h) 针对P-dry、P-wet及M-con样地的单冬季峰值SWE、SCD与LWI随机森林模型训练R脚本。此外，本数据集还包含针对P-dry样地的峰值SWE、SCD及LWI训练完成的随机森林模型，此类模型纳入了一维、三维及景观生态学相关预测因子。