Data and R Code for: Modeling Late-Winter Forest Snow Depth Using Basal Area and Thermal Forcing in a Hemiboreal Mountain Catchment

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Authors: Thilakawansha Chandrathilake Guruluwana Gamaethiralalage, Nobuaki Tanaka, Toshiaki Owari, Y Nakagawa, T Kobayashi, N Kimura
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Abstract

This repository contains the dataset and R scripts used to develop and validate the Snow Retention Index (SRI) model presented in the associated manuscript. The dataset includes plot-level forest snow depth (FSD), meteorological station maximum snow depth (MSD), stand structural variables (e.g., basal area, composition index), terrain variables (elevation, eastness), and positive degree days (PDD). The R scripts reproduce all statistical analyses reported in the manuscript, including descriptive statistics, mixed-effects modeling, fixed-effects regression, validation metrics, and generation of predicted forest snow depth (FSD). The code is fully executable using the provided dataset.

Fields of Study & Subjects

Cryospheric studies and observations Forest ecology and management Hydrology and Watershed Management Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 February 2026
Language
EN
Document type
Dataset