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Ten years of monthly mass balance of Conejeras glacier, Colombia, and their evaluation using different interpolation methods

机译:10年的月度冰川,哥伦比亚,哥伦比亚的月度平衡,以及使用不同的插值方法的评价

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Understanding global climate change and its impacts on glaciers in the inner tropics is challenged by an absent climate seasonality that requires glacier monitoring at increased frequencies. Conejeras glacier in Colombia has been monitored monthly for 10 years, contributing to the limited knowledge of glacier mass development in this region. We acquired a terrestrial Lidar digital elevation model (DEM) and performed a full homogenization of the time series. Applying a number of interpolation methods, we calculated glacier-wide balances and deduced respective uncertainties. All interpolation methods revealed comparable variations in monthly surface mass balance, but the profile method failed in certain cases. We recommend using the Index-site method for monthly and annual and the Contour-line method for annual surface mass balances. Even when strongly reducing the stake network, the Index-site method and geostatistical interpolations (Kriging and Topo to Raster) showed robust and reliable results. Conejeras glacier is strongly down-wasting with a mass loss of 29 400mm w.e. and an area shrinkage of 20% within 10 years. Surface mass balance variations were strongest from November to February and depend largely on the intensity of El Nino Southern Oscillation. With a repeat DEM in the near future the glaciological time series could be validated with the geodetic mass balance. We recommend continuing the monthly monitoring programme, but complementing it with an energy balance study using additional meteorological data to better explain the glacier-climate interactions. However, to track the glacier's mass variations, a monitoring network with lower measurement frequency and stake density would be sufficient.
机译:了解全球气候变化及其对内部热带地区冰川的影响受到不存在的气候季节性挑战,需要在增加频率下冰川监测。哥伦比亚的Conejeras冰川每月监测10年,有助于该地区冰川大规模发展的知识有限。我们收购了一个地面激光雷达数字海拔模型(DEM),并对时间序列进行了全面的均匀化。应用许多插值方法,我们计算了冰川宽的余额并推导出各自的不确定性。所有插值方法都揭示了每月表面质量平衡的可比变化,但在某些情况下,轮廓方法失败。我们建议使用每月和年度和年度级别余额的索引现场方法和年度的轮廓线方法。即使在强烈减少利益网络时,索引现场方法和地统计插值(Kriging和Topo到栅格)也显示出稳健且可靠的结果。 Conejeras Glacier强烈削弱,质量损失为29 400mm w.e。 10年内的区域收缩为20%。从11月到2月,表面质量平衡变化最强,主要取决于El Nino Southern振荡的强度。在不久的将来,在近期的重复DEM,冰川冰川时间序列可以通过大地测量平衡验证。我们建议继续使用额外的气象数据与能量平衡研究相结合,以更好地解释冰川气候互动。然而,为了跟踪冰川的质量变化,测量频率和桩密密度较低的监测网络就足够了。

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