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Spatio-temporal variability of snow water equivalent in the extra-tropical Andes Cordillera from distributed energy balance modeling and remotely sensed snow cover

机译:基于分布式能量平衡模型和遥感积雪的温带安第斯山脉山脉雪水当量的时空变化

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Seasonal snow cover is the primary water source for human use and ecosystems along the extratropical Andes Cordillera. Despite its importance, relatively little research has been devoted to understanding the properties, distribution and variability of this natural resource. This research provides high-resolution (500 m), daily distributed estimates of end-of-winter and spring snow water equivalent over a 152 000 km(2) domain that includes the mountainous reaches of central Chile and Argentina. Remotely sensed fractional snow-covered area and other relevant forcings are combined with extrapolated data from meteorological stations and a simplified physically based energy balance model in order to obtain melt-season melt fluxes that are then aggregated to estimate the end-of-winter (or peak) snow water equivalent (SWE). Peak SWE estimates show an overall coefficient of determination R-2 of 0.68 and RMSE of 274 mm compared to observations at 12 automatic snow water equivalent sensors distributed across the model domain, with R-2 values between 0.32 and 0.88. Regional estimates of peak SWE accumulation show differential patterns strongly modulated by elevation, latitude and position relative to the continental divide. The spatial distribution of peak SWE shows that the 4000-5000 a.s.l. elevation band is significant for snow accumulation, despite having a smaller surface area than the 3000-4000 a.s.l. band. On average, maximum snow accumulation is observed in early September in the western Andes, and in early October on the eastern side of the continental divide. The results presented here have the potential of informing applications such as seasonal forecast model assessment and improvement, regional climate model validation, as well as evaluation of observational networks and water resource infrastructure development.
机译:季节性积雪是温带安第斯山脉沿线人类使用和生态系统的主要水源。尽管它很重要,但很少有研究致力于了解这种自然资源的特性,分布和变异性。这项研究提供了包括智利中部和阿根廷山区在内的152 000 km(2)域内的冬末和春季雪水当量的高分辨率(500 m),每日分布估计。将遥感的小雪覆盖面积和其他相关强迫与气象站的推算数据和简化的基于物理的能量平衡模型相结合,以获取融化季节的融通量,然后将其合计以估算冬末(或雪峰当量(SWE)。与在整个模型域中分布的12个自动雪水当量传感器的观测值相比,SWE峰值估计值的总体确定系数R-2为0.68,RMSE为274 mm,R-2值在0.32和0.88之间。 SWE峰值积累的区域估计值显示出不同的模式,这些模式受海拔,纬度和相对于大陆分界线的位置的强烈影响。峰值SWE的空间分布表明4000-5000 a.s.l.海拔带对积雪很重要,尽管其表面积小于3000-4000a.s.l。带。平均而言,在9月初在安第斯山脉西部和10月初在大陆鸿沟的东部观测到最大的积雪。本文介绍的结果具有参考应用潜力的潜力,例如季节性预报模型评估和改进,区域气候模型验证以及观测网络和水资源基础设施开发的评估。

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