利用改进的光谱组合理论从GRACE/GRACE- fo陆地蓄水异常中提取雪水当量

IF 6.3 1区 地球科学 Q1 ENGINEERING, CIVIL
Farzam Fatolazadeh , Shusen Wang , Mehdi Eshagh , Kalifa Goïta
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引用次数: 0

摘要

雪水当量(SWE)是指积雪中包含的水量,这是寒冷地区季节性水循环的关键组成部分,特别是加拿大。重力恢复和气候实验(GRACE)任务主要侧重于量化陆地储水异常(TWSA),这是地下水、土壤湿度、地表水和冰雪异常的总和。由于这些参数的复杂相互作用及其不确定性,高精度分离单个组件是一项具有挑战性的任务。为了从GRACE/GRACE- fo (followon) TWS测量数据中提取SWE分量,本文提出了一种基于频谱组合理论改进的增强估计器。该估计方法利用水文模型及其不确定性,在谱域从GRACE月模型中最优提取SWE分量。该方法被应用于加拿大八个选定的盆地,涵盖了各种气候和地理条件。考虑了2003年1月至2022年底各流域不同的冬季,包括积雪的高峰积累期和消融期。其中,弗雷泽-低陆平原和渥太华盆地SWE的季节变化最为明显,最大值约为200 mm。相比之下,圣约翰-圣盆地表现出最低的SWE变异性,最大变异性为50 mm。除Okanagan-Similkameen盆地和Saint John-St盆地外,加拿大所有盆地的SWE均呈上升趋势。将该方法的结果与加拿大历史雪水当量数据集(CanSWE)、加拿大气象中心(CMC)和GlobSnow的SWE分量进行了比较。根据盆地的不同,发现了不同程度的一致性(相关性在r = 0.40和r = 0.83之间,RMSE在10毫米和55毫米之间)。与CMC和CanSWE产品的一致性最好。水流分量的加入突出了最大SWE与峰值流量之间的关系。结果表明:改进的光谱组合方法得到的SWE与多个流域的峰值流量呈显著相关(r值在0.42 ~ 0.80之间);从而强调融雪在影响流域峰值流量中的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Retrieving snow water equivalent from GRACE/GRACE-FO terrestrial water storage anomalies using modified spectral combination theory

Retrieving snow water equivalent from GRACE/GRACE-FO terrestrial water storage anomalies using modified spectral combination theory
Snow Water Equivalent (SWE) refers to the quantity of water contained within the snowpack, which is a critical component of the seasonal water cycle in cold regions, notably Canada. The Gravity Recovery and Climate Experiment (GRACE) mission primarily focuses on quantifying Terrestrial Water Storage Anomalies (TWSA), which is the sum of anomalies in groundwater, soil moisture, surface water, and snow/ice. Separating the individual components with high precision is a challenging task due to the complex interactions of these parameters and their uncertainties involved. This study proposes an enhanced estimator which is modified based on the spectral combination theory, to extract the SWE component from GRACE/GRACE-FO (Follow-On) TWS measurements. This estimator uses a hydrological model and its uncertainty to optimally extract the SWE component from the GRACE monthly models in spectral domain. The approach was applied in eight selected basins across Canada, covering a diverse range of climatic and geographical conditions. Different winter seasons of each basin were considered, including the peak accumulation and ablation phases of the snowpack, from January 2003 to the end of 2022. Among the basins examined, the Fraser-Lower Mainland and Ottawa basins exhibited the most pronounced seasonal variations in SWE, with maximum value of about 200 mm. In contrast, the Saint John-St basin demonstrated the lowest SWE variability, with maximum amount of 50 mm. All the studied basins across Canada except for Okanagan-Similkameen basin and Saint John-St basin displayed a positive trend in SWE. The results from the proposed approach were compared to the SWE component derived from Canadian Historical Snow Water Equivalent dataset (CanSWE), Canadian Meteorological Centre (CMC), and GlobSnow. Varying levels of agreement were found depending on the basins (correlations between r = 0.40 and r = 0.83, and RMSE between 10 mm and 55 mm). The best agreements were found with CMC and CanSWE products. The inclusion of streamflow component highlighted the relationship between maximum SWE and the peak flow. The results found indicate significant correlations between SWE derived from our modified spectral combination approach and peak flow in several basins (r varying from 0.42 to 0.80); thus emphasizing the critical role of snowmelt in influencing peak flows in the basins.
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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