Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021WR029643 |
Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in over 700 Catchments throughout Europe | |
D. De Santis; D. Biondi; W. T. Crow; S. Camici; S. Modanesi; L. Brocca; C. Massari | |
2021-05-05 | |
发表期刊 | Water Resources Research
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出版年 | 2021 |
英文摘要 | In this study, we perform a data assimilation (DA) experiment on a very large number (> 700) of small‐ and medium‐scale (150 to 10000 km2) European catchments to assess the impact of satellite soil moisture (SM) DA on streamflow simulations for different climatic and hydrologic conditions. In the experiment, Climate Change Initiative (CCI) SM active, passive and combined products are assimilated over a time period 2003‐2016 via an Ensemble Kalman Filter (EnKF). The results show that, on average, the assimilation of the three products provides relatively small improvements as compared to analogous open loop (OL) results (i.e., with an increase on median KGE equal to 0.0048, 0.0033, and 0.0022 [‐] for the active, the passive, and the combined products, respectively). OL performance itself is found to be a significant driver of the assimilation results: greater improvements are observed in catchments with poor OL streamflow predictions and inaccurate precipitation estimates. The remotely sensed product accuracy also emerges as relevant for assimilation efficiency, while factors affecting SM retrievals such as vegetation density, topographic complexity and basin area are found to have only a limited impact on the spatial pattern of performance. Small and detrimental effects of SM assimilation are observed over fully humid catchments and at high latitudes where pre‐storm soil moisture has reduced control on runoff generation as well as in basins where the hydrological model contains structural limitations. This article is protected by copyright. All rights reserved. |
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/325874 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | D. De Santis,D. Biondi,W. T. Crow,et al. Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in over 700 Catchments throughout Europe[J]. Water Resources Research,2021. |
APA | D. De Santis.,D. Biondi.,W. T. Crow.,S. Camici.,S. Modanesi.,...&C. Massari.(2021).Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in over 700 Catchments throughout Europe.Water Resources Research. |
MLA | D. De Santis,et al."Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in over 700 Catchments throughout Europe".Water Resources Research (2021). |
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