Scholarlink

<p>Understanding the impacts of climate change on snow and glacier cover dynamics is essential for climate adaptation and effective hydrological management. This study employs snow cover data from MODIS (Moderate Resolution Imaging Spectroradiometer) and climate data from CHIRPS (Climate Hazards Infrared Precipitation with Stations) and CHIRTS (Climate Hazards InfraRed Temperature with Stations), alongside the J2000 hydrological model, to assess snow cover dynamics in the Rwenzori Mountains from 2000 to 2022 and to validate future projections under the SSP2-4.5 and SSP5-8.5 scenarios. Historical analysis reveals that Mount Stanley has the highest mean snow cover (2.534 ± 0.524&#xa0;km²) among the peaks, with significant temporal and spatial variability. In June, snow cover increases as rainfall decreases on both Mount Baker and Mount Stanley. However, in February, there is a marked decrease in snow cover on Mount Stanley, coinciding with rising minimum temperatures. The J2000 model demonstrated strong performance in simulating snow cover dynamics, with an R² of 0.90, an RMSE of 0.163, and a PBias of 1.2%. Projections indicate a consistent decline in snow cover, with Mount Stanley’s snow cover expected to decrease from 1.58 ± 0.51&#xa0;km² in the near future to 0.43 ± 0.31&#xa0;km² in the far future under the SSP5-8.5 scenario. Similarly, cumulative snow cover across the entire mountain range is projected to decrease from 5.10 ± 0.37&#xa0;km² in the near future to 3.45 ± 0.66&#xa0;km² in the far future under the same scenario. These findings highlight the sensitivity of the Rwenzori Mountains’ snow cover to climate change and provide critical insights for the development of future climate adaptation and hydrological management strategies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Understanding Cryospheric Changes in Tropical Regions: Climate Change Impacts in the Rwenzori Mountains Using Satellite-Driven and Modeling Approaches

  • 期刊论文

  • 发表日期：

    2025年4月9日

查看全文
  • Vithundwa Richard Posite,
  • Mohamed Saber,
  • Bayongwa Samuel Ahana,
  • Cherifa Abdelbaki

摘要

Understanding the impacts of climate change on snow and glacier cover dynamics is essential for climate adaptation and effective hydrological management. This study employs snow cover data from MODIS (Moderate Resolution Imaging Spectroradiometer) and climate data from CHIRPS (Climate Hazards Infrared Precipitation with Stations) and CHIRTS (Climate Hazards InfraRed Temperature with Stations), alongside the J2000 hydrological model, to assess snow cover dynamics in the Rwenzori Mountains from 2000 to 2022 and to validate future projections under the SSP2-4.5 and SSP5-8.5 scenarios. Historical analysis reveals that Mount Stanley has the highest mean snow cover (2.534 ± 0.524 km²) among the peaks, with significant temporal and spatial variability. In June, snow cover increases as rainfall decreases on both Mount Baker and Mount Stanley. However, in February, there is a marked decrease in snow cover on Mount Stanley, coinciding with rising minimum temperatures. The J2000 model demonstrated strong performance in simulating snow cover dynamics, with an R² of 0.90, an RMSE of 0.163, and a PBias of 1.2%. Projections indicate a consistent decline in snow cover, with Mount Stanley’s snow cover expected to decrease from 1.58 ± 0.51 km² in the near future to 0.43 ± 0.31 km² in the far future under the SSP5-8.5 scenario. Similarly, cumulative snow cover across the entire mountain range is projected to decrease from 5.10 ± 0.37 km² in the near future to 3.45 ± 0.66 km² in the far future under the same scenario. These findings highlight the sensitivity of the Rwenzori Mountains’ snow cover to climate change and provide critical insights for the development of future climate adaptation and hydrological management strategies.