Snowfall, soil moisture and forest fire risk data

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

Read full text
Authors: Chulsang Yoo, Ki-Ho Chang, Jeong-Hyeok Ma, Sang-Keun Song, B. Kim
DOI: 10.5281/zenodo.18102424
Cited by: 0

Abstract

This dataset contains model outputs and derived indices used to analyze the effects of winter snowfall and cloud seeding on spring soil moisture and forest fire risk in a high-elevation basin in Korea. It includes aggregated results from PRMS simulations (soil moisture and snowmelt), SEED and UNSD scenarios, winter precipitation scenarios (50–300%), and the corresponding MNI-based forest fire risk indices. See Data description.txt for details of each sheet.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Document type
Dataset