Moraine morphology is a valuable indicator of climate change. The glacial deposits of ten valleys were selected in the Parlung Zangbo River Basin, southeastern Tibetan Plateau, to study the glacial characteristics of ...Moraine morphology is a valuable indicator of climate change. The glacial deposits of ten valleys were selected in the Parlung Zangbo River Basin, southeastern Tibetan Plateau, to study the glacial characteristics of the Last Glaciation and the climate change processes as revealed by these moraines. Investigation revealed that a huge moraine ridge was formed by ancient glacier in the Marine Isotope Stage 2 （MIS2）, and this main moraine ridge indicates the longest sustained and stable climate. There are at least two smaller moraine ridges that are external extensions of or located at the bottom of the main moraine ridge, indicating that the climate of the glacial stage before MIS2 was severer but the duration was relatively shorter. This distribution may reflect the climate of MIS4 or MIS3b. The glacial valleys show multi-channel, small-scale moraine ridges between the contemporary glacial tongue and the main moraine ridge. Some of these multi-channel mo- raine ridges might be recessional moraine, indicating the significant glacial advance during the Younger Dryas or the Heinrich event. The moraine ridges of the Neoglaciation and the Little Ice Age are near the ends of the contemporary glaciers. Using high-precision system dating, we can fairly well reconstruct the pattern of climate change by studying the shape, extent, and scale characteristics of glacial deposits in southeastern Tibet. This is valuable research to understand the relationship between regional and global climate change.展开更多
为深入研究高寒流域河川径流的水源解析,选取雅鲁藏布江帕隆藏布上游流域为研究区,采用月流量、遥感积雪面积数据、实测冰川径流数据等多目标率定方法,改进单一依靠流量数据率定模型的方法,基于SPHY(Spatial Processes in Hydrology)水...为深入研究高寒流域河川径流的水源解析,选取雅鲁藏布江帕隆藏布上游流域为研究区,采用月流量、遥感积雪面积数据、实测冰川径流数据等多目标率定方法,改进单一依靠流量数据率定模型的方法,基于SPHY(Spatial Processes in Hydrology)水文模型开展水文模拟及径流组分研究,提高了总体建模质量.结果表明:在率定期和验证期Nash-Sutcliffe效率系数分别为0.95和0.94,模型具有较好的适用性.降雨径流、融雪径流、冰川径流和基流作为径流来源,占总径流的比例分别为10%、25%、45%和20%,冰川径流和融雪径流是最重要的补给来源.月尺度上,冰川径流在7-8月占比最大,融雪径流在4-6月占比最大,降雨径流在各月占比最小.冰川径流占比最高,短期内可提供更多水资源保障社会经济发展,长期而言冰川径流将逐渐减少,造成水资源短缺.因此,当地需提高应对径流变化潜在风险的策略.展开更多
帕隆藏布流域位于中国海洋性冰川发育最为集中的藏东南地区,近年来随着全球气候变暖,帕隆藏布流域冰川亏损显著。利用全球开放冰川模型(OGGM)模拟了1980—2019年藏东南地区帕隆藏布流域1554条冰川物质平衡,发现1980—2019年帕隆藏布流...帕隆藏布流域位于中国海洋性冰川发育最为集中的藏东南地区,近年来随着全球气候变暖,帕隆藏布流域冰川亏损显著。利用全球开放冰川模型(OGGM)模拟了1980—2019年藏东南地区帕隆藏布流域1554条冰川物质平衡,发现1980—2019年帕隆藏布流域全域冰川物质平衡呈现不断亏损的状态,为-0.41 m w.e.·a^(-1),在2000—2019年物质平衡亏损更为严重,达到-0.56 m w.e.·a^(-1)。从空间分布上来看,流域东南部和流域西北部是冰川亏损最为严重的区域,流域中部和西部冰川亏损相比较少。温度的升高和降水的轻微减少是冰川物质亏损的主要原因。通过气温和降水的敏感性分析,气温上升1℃,流域71.75%的冰川物质平衡变化在-1000~-500 mm w.e.·a^(-1);降水减少20%,62.81%的冰川物质平衡变化在-450~-300 mm w.e.·a^(-1),相较于降水,冰川对气温变化更为敏感。通过分析国家气象站及再分析数据,发现1980—2019年气象站气温上升均超过1.5℃,波密站2000—2019年总降水相较于前20年,减少了10%,流域降水整体呈现减少的趋势,气温的持续升高和降水的轻微减少导致帕隆藏布流域冰川处于持续亏损之中。展开更多
Satellite-based precipitation observations with high spatiotemporal resolution are essential for studying rainfall-induced natural hazards,especially in alpine and canyon areas of the southeastern Tibetan Plateau,whic...Satellite-based precipitation observations with high spatiotemporal resolution are essential for studying rainfall-induced natural hazards,especially in alpine and canyon areas of the southeastern Tibetan Plateau,which are prone to such hazards yet sparsely gauged.Here,we evaluated precipitation estimated from the Chinese Fengyun-4A meteorological satellite(FY-4A AGRI)versus the Integrated Multi-satellitE Retrievals for GPM(IMERG),by using rain gauge data collected in the Parlung Zangbo Basin from May through September in both 2018 and 2019.Our results showed that(1)FY-4A AGRI generated smaller values of RMSE(root mean square error)on hourly to daily scales,and larger correlation coefficients(R-values)and smaller RMSE values for both moderate and heavy rain,indicating its greater accuracy at rainfall estimation,which is most likely due to the denser rain gauge network at a finer temporal scale used when calibrating FY-4A AGRI;(2)Both satellite products underestimated the volume of moderate and heavy rain,with the larger degree of underestimation by FY-4A AGRI,which could lower their performance in flood monitoring and forecasting;(3)Worse performance and greater inconsistency between the two products were observed in high-elevation areas,perhaps because of orographic cloud effects in these mountainous areas;and(4)Both products revealed that the Gangrigabu Range blocked incoming water vapor from the southwest monsoon,with a better representation of the spatial pattern and spatial variability produced by IMERG.To improve precipitation estimation,the effects of complex terrain should be explicitly incorporated into the retrieval algorithms,with more gauged observations in a denser network and at a finer temporal scale needed to robustly calibrate the satellite-based estimates.展开更多
基金supported by the"Strategic Priority Research Program(B)"of the Chinese Academy of Sciences(Grant No.XDB03030100)the National Natural Sciences Foundation of China(Grant No.41371080)
文摘Moraine morphology is a valuable indicator of climate change. The glacial deposits of ten valleys were selected in the Parlung Zangbo River Basin, southeastern Tibetan Plateau, to study the glacial characteristics of the Last Glaciation and the climate change processes as revealed by these moraines. Investigation revealed that a huge moraine ridge was formed by ancient glacier in the Marine Isotope Stage 2 （MIS2）, and this main moraine ridge indicates the longest sustained and stable climate. There are at least two smaller moraine ridges that are external extensions of or located at the bottom of the main moraine ridge, indicating that the climate of the glacial stage before MIS2 was severer but the duration was relatively shorter. This distribution may reflect the climate of MIS4 or MIS3b. The glacial valleys show multi-channel, small-scale moraine ridges between the contemporary glacial tongue and the main moraine ridge. Some of these multi-channel mo- raine ridges might be recessional moraine, indicating the significant glacial advance during the Younger Dryas or the Heinrich event. The moraine ridges of the Neoglaciation and the Little Ice Age are near the ends of the contemporary glaciers. Using high-precision system dating, we can fairly well reconstruct the pattern of climate change by studying the shape, extent, and scale characteristics of glacial deposits in southeastern Tibet. This is valuable research to understand the relationship between regional and global climate change.
文摘为深入研究高寒流域河川径流的水源解析,选取雅鲁藏布江帕隆藏布上游流域为研究区,采用月流量、遥感积雪面积数据、实测冰川径流数据等多目标率定方法,改进单一依靠流量数据率定模型的方法,基于SPHY(Spatial Processes in Hydrology)水文模型开展水文模拟及径流组分研究,提高了总体建模质量.结果表明:在率定期和验证期Nash-Sutcliffe效率系数分别为0.95和0.94,模型具有较好的适用性.降雨径流、融雪径流、冰川径流和基流作为径流来源,占总径流的比例分别为10%、25%、45%和20%,冰川径流和融雪径流是最重要的补给来源.月尺度上,冰川径流在7-8月占比最大,融雪径流在4-6月占比最大,降雨径流在各月占比最小.冰川径流占比最高,短期内可提供更多水资源保障社会经济发展,长期而言冰川径流将逐渐减少,造成水资源短缺.因此,当地需提高应对径流变化潜在风险的策略.
文摘帕隆藏布流域位于中国海洋性冰川发育最为集中的藏东南地区,近年来随着全球气候变暖,帕隆藏布流域冰川亏损显著。利用全球开放冰川模型(OGGM)模拟了1980—2019年藏东南地区帕隆藏布流域1554条冰川物质平衡,发现1980—2019年帕隆藏布流域全域冰川物质平衡呈现不断亏损的状态,为-0.41 m w.e.·a^(-1),在2000—2019年物质平衡亏损更为严重,达到-0.56 m w.e.·a^(-1)。从空间分布上来看,流域东南部和流域西北部是冰川亏损最为严重的区域,流域中部和西部冰川亏损相比较少。温度的升高和降水的轻微减少是冰川物质亏损的主要原因。通过气温和降水的敏感性分析,气温上升1℃,流域71.75%的冰川物质平衡变化在-1000~-500 mm w.e.·a^(-1);降水减少20%,62.81%的冰川物质平衡变化在-450~-300 mm w.e.·a^(-1),相较于降水,冰川对气温变化更为敏感。通过分析国家气象站及再分析数据,发现1980—2019年气象站气温上升均超过1.5℃,波密站2000—2019年总降水相较于前20年,减少了10%,流域降水整体呈现减少的趋势,气温的持续升高和降水的轻微减少导致帕隆藏布流域冰川处于持续亏损之中。
基金funded by the Science&Technology Department of Sichuan Province,China(Grant No.2020YFS0356)the Natural Science Foundation of China(Grants No.42201520)the National Cryosphere Desert Data Center(Grants No.E01Z790201)。
文摘Satellite-based precipitation observations with high spatiotemporal resolution are essential for studying rainfall-induced natural hazards,especially in alpine and canyon areas of the southeastern Tibetan Plateau,which are prone to such hazards yet sparsely gauged.Here,we evaluated precipitation estimated from the Chinese Fengyun-4A meteorological satellite(FY-4A AGRI)versus the Integrated Multi-satellitE Retrievals for GPM(IMERG),by using rain gauge data collected in the Parlung Zangbo Basin from May through September in both 2018 and 2019.Our results showed that(1)FY-4A AGRI generated smaller values of RMSE(root mean square error)on hourly to daily scales,and larger correlation coefficients(R-values)and smaller RMSE values for both moderate and heavy rain,indicating its greater accuracy at rainfall estimation,which is most likely due to the denser rain gauge network at a finer temporal scale used when calibrating FY-4A AGRI;(2)Both satellite products underestimated the volume of moderate and heavy rain,with the larger degree of underestimation by FY-4A AGRI,which could lower their performance in flood monitoring and forecasting;(3)Worse performance and greater inconsistency between the two products were observed in high-elevation areas,perhaps because of orographic cloud effects in these mountainous areas;and(4)Both products revealed that the Gangrigabu Range blocked incoming water vapor from the southwest monsoon,with a better representation of the spatial pattern and spatial variability produced by IMERG.To improve precipitation estimation,the effects of complex terrain should be explicitly incorporated into the retrieval algorithms,with more gauged observations in a denser network and at a finer temporal scale needed to robustly calibrate the satellite-based estimates.
