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首页> 外文期刊>Journal of Hydrology >Mass balance and runoff modelling of partially debris-covered Dokriani Glacier in monsoon-dominated Himalaya using ERA5 data since 1979
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Mass balance and runoff modelling of partially debris-covered Dokriani Glacier in monsoon-dominated Himalaya using ERA5 data since 1979

机译:自 1979 年以来,使用 ERA5 数据对季风主导的喜马拉雅山部分碎屑覆盖的 Dokriani 冰川进行质量平衡和径流建模

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Glacier-wide mass balance and catchment-wide runoff were reconstructed over 1979-2018 for Dokriani Glacier catchment in Garhwal Himalaya (India). A glacier mass balance-runoff model, including temperature-index,accumulation, and rain modules was used for the reconstruction using daily air-temperature and precipitation fields from ERA5 reanalysis products. The model was calibrated using 6 years of observed annual glacier-wide mass balances (1993-1995 and 1998-2000) and observed summer mean monthly runoff (1994, 1998-2000) data. Model validation was done using satellite-derived snow line altitudes and field-observed runoff (1997-1998). Modelled mass balance on Dokriani Glacier is moderate with annual loss of-0.25 ± 0.37 m w.e. a~(-1) over 1979-2018. The mean winter glacier-wide mass balance is 0.72 ± 0.05 m w.e. a~(-1) while mean summer glacier-wide mass balance is -0.97 ± 0.32 m w.e. a~(-1) over 1979-2018. The mean annual catchment-wide runoff is 1.56 ± 0.10 m~3 s~(-1) over 1979-2018. Maximum runoff occurs during summer-monsoon months with a peak in August (6.04 ± 0.34 m~3 s~(-1)). Rainfall contributes the most to the total mean annual runoff with 44 ± 2 share, while snow melt and ice melt contribute 34 ± 1 and 22 ± 2, respectively. The heterogeneous debris-cover distribution over lower ablation area (< 5000 m a.s.l.) retards melting and protects the glacier. Modelled decadal mass balances suggest that Dokriani Glacier was close to steady-state conditions over 1989-1997 because of negative temperature anomalies and positive precipitation anomalies over this period. Mass balance and runoff are most sensitive to the threshold temperature for melt with sensitivities of 0.77 m w.e. a~(-1) °C~(-1) and -0.20 m~3 s~(-1) °C-1, respectively.
机译:1979-2018 年,印度 Garhwal 喜马拉雅山 Dokriani 冰川集水区重建了冰川质量平衡和流域径流。利用ERA5再分析产品的日气温和降水场,采用包括温度指数、累积和降雨模块在内的冰川物质平衡-径流模型进行重建。该模型使用观测的6年冰川年度质量平衡(1993-1995年和1998-2000年)和观测到的夏季平均月径流量(1994年,1998-2000年)数据进行校准。使用卫星得出的雪线高度和实地观测的径流(1997-1998年)进行了模型验证。1979—2018年,多克里亚尼冰川的模型质量平衡是中等的,年损失为-0.25±0.37 m w.e. a~(-1)。1979—2018年冬季全冰川平均质量平衡为0.72 ± 0.05 m w.e. a~(-1),夏季平均全冰川质量平衡为-0.97 ± 0.32 m w.e. a~(-1)。1979—2018年流域径流量年均为1.56 ± 0.10 m~3 s~(-1)。最大径流量出现在夏季-季风月份,8月达到峰值(6.04 ± 0.34 m~3 s~(-1))。降雨对年平均径流量的贡献最大,占44%±2%,而融雪和融冰分别占34±1%和22±2%。下部消融区(海拔5000米<)的非均质碎屑覆盖分布延缓了冰川融化并保护了冰川。模拟的年代际物质平衡表明,由于这一时期的负温度异常和正降水异常,Dokriani冰川在1989-1997年接近稳态条件。质量平衡和径流对熔体阈值温度最敏感,灵敏度分别为0.77 m w.e. a~(-1) °C~(-1)和-0.20 m~3 s~(-1) °C-1。

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