Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR028392 |
Generating ensemble streamflow forecasts:A review of methods and approaches over the past 40 years | |
Magali Troin; Richard Arsenault; Andrew W. Wood; Franç; ois Brissette; Jean‐; Luc Martel | |
2021-05-05 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | Ensemble forecasting applied to the field of hydrology is currently an established area of research embracing a broad spectrum of operational situations. This work catalogues the various pathways of ensemble streamflow forecasting based on an exhaustive review of more than 700 studies over the last 40 years. We focus on the advanced state of the art in the model‐based (dynamical) ensemble forecasting approaches. Ensemble streamflow prediction systems are categorized into three leading classes: statistics‐based streamflow prediction systems, climatology‐based ensemble streamflow prediction systems and numerical weather prediction‐based hydrological ensemble prediction systems. For each ensemble approach, technical information, as well as details about its strengths and weaknesses, are provided based on a critical review of the studies listed. Through this literature review, the performance and uncertainty associated with the ensemble forecasting systems are underlined from both operational and scientific viewpoints. Finally, the remaining key challenges and prospective future research directions are presented, notably through hybrid dynamical ‐ statistical learning approaches, which obviously present new challenges to be overcome in order to allow the successful employment of ensemble streamflow forecasting systems in the next decades. Targeting students, researchers and practitioners, this review provides a detailed perspective on the major features of an increasingly important area of hydrological forecasting. 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/325877 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Magali Troin,Richard Arsenault,Andrew W. Wood,et al. Generating ensemble streamflow forecasts:A review of methods and approaches over the past 40 years[J]. Water Resources Research,2021. |
APA | Magali Troin.,Richard Arsenault.,Andrew W. Wood.,Franç.,ois Brissette.,...&Luc Martel.(2021).Generating ensemble streamflow forecasts:A review of methods and approaches over the past 40 years.Water Resources Research. |
MLA | Magali Troin,et al."Generating ensemble streamflow forecasts:A review of methods and approaches over the past 40 years".Water Resources Research (2021). |
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