Spatiotemporal dynamics of snow cover characteristics in the Magadan region for avalanche hazard assessment

Given the complex mountain terrain and the insufficient network of meteorological stations, assessing and forecasting avalanche hazard in the Magadan Region is a pressing issue. This study examines patterns in snow cover characteristics (average and maximum snow depth, dates of establishment and disappearance) at 1) gauges located on mountain passes or at altitude " 900 m along the Kolyma and Tenkinskaya highways, and 2) at the nearest meteorological stations of the Roshydromet in 2022–2025. For two test sites, avalanche runout distanceswere calculated according to regulatory documents based on data from the monitoring network and Roshydromet stations in 2025. This study utilizes the data from the automatic snow cover monitoring network, which was installed in the Magadan Region in 2022–2025 (altitude range of 162–1232 m). Data from field studies were also used. Avalanche characteristics were calculated in accordance to regulatory documents. For the first time, an automatic snow cover monitoring network was installed in the Magadan Region, and data obtained in 2022–2025 were analyzed. This revealed significant discrepancies in snow characteristics between Roshydromet stations and high-altitude sections of the monitoring network. It was found that snow depth on mountain passes can be 2–3 times higher than that of the reference station, and the duration of snow cover can increase by 25 days or more. The insufficiency of the existing Roshydromet network for accurate avalanche hazard forecasting was demonstrated. Using avalanche start zones near the Gusakova Pass as an example, it was demonstrated that applying data from the automated network allows for accurate assessment of avalanche runout distance, whereas calculations based on meteorological station data underestimate actual figures by 1.5–2 times. The obtained results can form the basis for recommendations for developing a monitoring system and avalanche protection measures along the most dangerous sections of Magadan Region's highways.

Authors

Publication Details

Journal
Арктика и Антарктика
Published
2025-11-25
DOI
https://doi.org/10.7256/2453-8922.2026.1.76898
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal dynamics of snow cover characteristics in the Magadan region for avalanche hazard assessment

Olga Makarieva, Anastasiia Zemlianskova, Nataliia Nesterova, Polina Andreevna Nikitina et al.
Арктика и Антарктика
Cryospheric studies and observations
article

Spatiotemporal dynamics of snow cover characteristics in the Magadan region for avalanche hazard assessment

Olga Makarieva, Anastasiia Zemlianskova, Nataliia Nesterova, Polina Andreevna Nikitina, Aleksandr Vladimirovich Dunaev
article en

Abstract

Given the complex mountain terrain and the insufficient network of meteorological stations, assessing and forecasting avalanche hazard in the Magadan Region is a pressing issue. This study examines patterns in snow cover characteristics (average and maximum snow depth, dates of establishment and disappearance) at 1) gauges located on mountain passes or at altitude " 900 m along the Kolyma and Tenkinskaya highways, and 2) at the nearest meteorological stations of the Roshydromet in 2022–2025. For two test sites, avalanche runout distanceswere calculated according to regulatory documents based on data from the monitoring network and Roshydromet stations in 2025. This study utilizes the data from the automatic snow cover monitoring network, which was installed in the Magadan Region in 2022–2025 (altitude range of 162–1232 m). Data from field studies were also used. Avalanche characteristics were calculated in accordance to regulatory documents. For the first time, an automatic snow cover monitoring network was installed in the Magadan Region, and data obtained in 2022–2025 were analyzed. This revealed significant discrepancies in snow characteristics between Roshydromet stations and high-altitude sections of the monitoring network. It was found that snow depth on mountain passes can be 2–3 times higher than that of the reference station, and the duration of snow cover can increase by 25 days or more. The insufficiency of the existing Roshydromet network for accurate avalanche hazard forecasting was demonstrated. Using avalanche start zones near the Gusakova Pass as an example, it was demonstrated that applying data from the automated network allows for accurate assessment of avalanche runout distance, whereas calculations based on meteorological station data underestimate actual figures by 1.5–2 times. The obtained results can form the basis for recommendations for developing a monitoring system and avalanche protection measures along the most dangerous sections of Magadan Region's highways.

Арктика и Антарктика(1)
Openalex Percentile: Top 59%
Cryospheric studies and observations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.