Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021WR030277 |
Spaceborne river discharge from a nonparametric stochastic quantile mapping function | |
Omid Elmi; Mohammad J. Tourian; Andrá; s Bá; rdossy; Nico Sneeuw | |
2021-12-03 | |
发表期刊 | Water Resources Research
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出版年 | 2021 |
英文摘要 | The number of active gauges with open-data policy for discharge monitoring along rivers has decreased over the last decades. Therefore, spaceborne measurements are investigated as alternatives. Among different techniques for estimating river discharge from space, developing a rating curve between the ground-based discharge and spaceborne river water level or width is the most straightforward one. However, this does not always lead to successful results, since the river section morphology often cannot simply be modeled by a limited number of parameters. Moreover, such methods do not deliver a proper estimation of the discharge’s uncertainty as a result of the mismodeling and also the coarse assumptions made for the uncertainty of inputs. Here we propose a nonparametric model for estimating river discharge and its uncertainty from spaceborne river width measurements. The model employs a stochastic quantile mapping scheme by, iteratively: 1) generating realizations of river discharge and width time series using Monte Carlo simulation, 2) obtaining a collection of quantile mapping functions by matching all possible permutations of simulated river discharge and width quantile functions, 3) adjusting the measurement uncertainties according to the point cloud scatter. We validate our method over 14 different river reaches along the Niger, Congo, Po rivers and several river reaches in the Mississippi river basin. Our results show that the proposed algorithm can mitigate the effect of measurement noise and also possible mismodelling. Moreover, the proposed algorithm delivers a meaningful uncertainty for the estimated discharge and allows us to calibrate the error bars of in situ discharge measurements. |
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/343070 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Omid Elmi,Mohammad J. Tourian,Andrá,et al. Spaceborne river discharge from a nonparametric stochastic quantile mapping function[J]. Water Resources Research,2021. |
APA | Omid Elmi,Mohammad J. Tourian,Andrá,s Bá,rdossy,&Nico Sneeuw.(2021).Spaceborne river discharge from a nonparametric stochastic quantile mapping function.Water Resources Research. |
MLA | Omid Elmi,et al."Spaceborne river discharge from a nonparametric stochastic quantile mapping function".Water Resources Research (2021). |
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