A first continuous and distributed satellite-based mapping of river discharge over the Amazon
A first continuous and distributed satellite-based mapping of river discharge over the Amazon
复制标题
第一个基于卫星的连续分布式亚马逊河流流量测绘
DOI：
10.1016/j.jhydrol.2022.128481
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发表时间：
2022
影响因子：
6.4
通讯作者：
A. Paris
中科院分区：
文献类型：
--
作者：
V. Pellet;F. Aires;Dai Yamazaki;Xudong Zhou;A. Paris
河流流量整合了陆地上许多与水相关的过程，这对于了解内陆水至关重要。不幸的是，全球范围内的现场测量非常稀疏。本文提出了一种基于水文变量卫星观测和水预算平衡的河流流量绘图（即空间连续估计）的全新方法。首次对三个水成分（降水量、蒸散量和总水储存量变化）的连续卫星估计通过一些测量测量的河流流量在流域尺度上进行校正。其次，利用水流方向进行水平水交换，在网格水平上平衡水预算。因此，这种新方法仅基于卫星产品和现场测量，而不使用任何动力学模型（河流图除外）。该方法通过连续水位之间的插值模式（中位 KGE 为 0.8）和小型汇流河流的外推模式（平均 KGE 为 0.6）进行评估，并与 CaMa 洪水等河流动态模型的 0.6 和 0.4 进行比较。空间上连续的河流流量显示出与高程水面水位（WSL，异常相关性中位数为 0.6）和地表水范围卫星估计（在有洪泛区的河流上异常相关性高达 0.7）的良好一致性。这表明洪水和低流量的时机很好。与水文模型 CaMa-flood 的比较显示了这种连续产品在研究高流量或低流量下的模型差异以及早期流量峰值建模方面的优势。虽然极端事件的空间模式不能仅通过现场测量信息来很好地表示，但我们的研究显示了绘图的附加价值，可以更好地描述这些事件。作为水文应用，我们的方法可以与所有测高站协同使用，创建流量-WSL对数据，这将有利于高级应用。
River discharge integrates many water-related processes over land, it is crucial for understanding inland water. Unfortunately,in situmeasurements are very sparse at the global scale. This paper presents a totally new approach for the mapping (i.e. spatially continuous estimate) of the river discharge based on satellite observation of hydrological variables and the water budget balance. First continuous satellite estimate of three water components (precipitation, evapotranspiration, and total water storage change) are corrected at basin scale using river discharge from a few gauge measurements. Secondly, the water budget is balanced at the grid level using flow direction for horizontal water exchange. This new approach is therefore based solely on satellite products andin situmeasurements without the use of any dynamical model (except river map). The methodology is evaluated in interpolation mode between successive gauges (median KGE is 0.8) and extrapolation mode over small confluent rivers (mean KGE is 0.6), to be compared to 0.6 and 0.4 for a river dynamic model such as CaMa-flood. The spatially continuous river discharge shows a good agreement with altimetric water surface level (WSL, median correlation of anomalies is 0.6) and surface water extent satellite estimate (correlation of anomalies is up to 0.7 over rivers with floodplains). This suggests that timing of flood and low flow is fine. A comparison with the hydrological model CaMa-flood shows the benefit of such a continuous product to investigate model differences at high or low flow, as well as early flow peak modeling. While the spatial pattern of extreme events cannot be well represented only byin situgauges information, our study shows the added value of the mapping to better describe these events. As hydrological application, our method can be used in synergy with all the altimetric stations to create discharge-WSL pair data, which will benefit to advanced applications.
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亚马逊水循环的相干卫星监测。
影响因子：
5.4
作者：
v Pellet;F Aires;D Yamazaki
通讯作者：
D Yamazaki
首席研究员研究图谱
DOI：
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发表时间：
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期刊：
影响因子：
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作者：
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DOI：
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发表时间：
2015
期刊：
影响因子：
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作者：
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通讯作者：
GWD-LR: a satellite-based global database of river channel width
水动力模型模拟中洪水频率分析的不确定性
影响因子：
4.6
作者：
Xudong Zhou;Wenchao Ma;Wataru Echizenya;Dai Yamazaki
通讯作者：
Dai Yamazaki
影响因子：
5.4
作者：
Yamazaki, Dai;Kanae, Shinjiro;Oki, Taikan
通讯作者：
Oki, Taikan