Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027188 |
The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a high elevation, Andean catchment | |
Thomas E. Shaw; Alexis Caro; Pablo Mendoza; Á; lvaro Ayala; Francesca Pellicciotti; Simon Gascoin; James McPhee | |
2020-06-20 | |
发表期刊 | Water Resources Research |
出版年 | 2020 |
英文摘要 | Information about end‐of‐winter spatial distribution of snow depth is important for seasonal forecasts of spring/summer streamflow in high‐mountain regions. Nevertheless, such information typically relies upon extrapolation from a sparse network of observations at low elevations. Here, we test the potential of high‐resolution snow depth data derived from optical stereo‐photogrammetry of Pléiades satellites for improving the representation of snow depth initial conditions (SDICs) in a glacio‐hydrological model, and assess potential improvements in the skill of snowmelt and streamflow simulations in a high‐elevation Andean catchment. We calibrate model parameters controlling glacier mass balance and snow cover evolution using ground‐based and satellite observations, and consider the relative importance of accurate estimates of SDICs compared to model parameters and forcings. We find that Pléiades SDICs improve the simulation of snow‐covered area, glacier mass balance and monthly streamflow compared to alternative SDICs based upon extrapolation of meteorological variables or statistical methods to estimate SDICs based upon topography. Model simulations are found to be sensitive to SDICs in the early spring (up to 48% variability in modelled catchment streamflow), and to temperature gradients in all months that control albedo and melt rates over a large elevation range (>2400m). As such, appropriately characterising the distribution of total snow volume with elevation is important for reproducing total streamflow and the proportions of snowmelt. Therefore, optical stereo‐photogrammetry offers an advantage for obtaining SDICs that aid both the timing and magnitude of streamflow simulations, process representation (e.g. snow cover evolution) and has the potential for large spatial domains. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/276602 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Thomas E. Shaw,Alexis Caro,Pablo Mendoza,等. The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a high elevation, Andean catchment[J]. Water Resources Research,2020. |
APA | Thomas E. Shaw.,Alexis Caro.,Pablo Mendoza.,Á.,lvaro Ayala.,...&James McPhee.(2020).The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a high elevation, Andean catchment.Water Resources Research. |
MLA | Thomas E. Shaw,et al."The utility of optical satellite winter snow depths for initializing a glacio‐hydrological model of a high elevation, Andean catchment".Water Resources Research (2020). |
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