Climate Change Data Portal
DOI | 10.5194/hess-22-127-2018 |
Exploratory studies into seasonal flow forecasting potential for large lakes | |
Sene K.; Tych W.; Beven K. | |
发表日期 | 2018 |
ISSN | 1027-5606 |
起始页码 | 127 |
结束页码 | 141 |
卷号 | 22期号:1 |
英文摘要 | In seasonal flow forecasting applications, one factor which can help predictability is a significant hydrological response time between rainfall and flows. On account of storage influences, large lakes therefore provide a useful test case although, due to the spatial scales involved, there are a number of modelling challenges related to data availability and understanding the individual components in the water balance. Here some possible model structures are investigated using a range of stochastic regression and transfer function techniques with additional insights gained from simple analytical approximations. The methods were evaluated using records for two of the largest lakes in the world - Lake Malawi and Lake Victoria - with forecast skill demonstrated several months ahead using water balance models formulated in terms of net inflows. In both cases slight improvements were obtained for lead times up to 4-5 months from including climate indices in the data assimilation component. The paper concludes with a discussion of the relevance of the results to operational flow forecasting systems for other large lakes. © Author(s) 2018. |
语种 | 英语 |
scopus关键词 | Digital storage; Forecasting; Model structures; Stochastic models; Stochastic systems; Analytical approximation; Data assimilation; Data availability; Exploratory studies; Flow forecasting; Hydrological response; Individual components; Water balance models; Lakes; data assimilation; exploration; flow measurement; forecasting method; hydrological modeling; hydrological response; seasonal variation; transfer function; East African Lakes; Lake Malawi; Lake Victoria |
来源期刊 | Hydrology and Earth System Sciences
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/160158 |
作者单位 | Sene, K., Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom; Tych, W., Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom; Beven, K., Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom |
推荐引用方式 GB/T 7714 | Sene K.,Tych W.,Beven K.. Exploratory studies into seasonal flow forecasting potential for large lakes[J],2018,22(1). |
APA | Sene K.,Tych W.,&Beven K..(2018).Exploratory studies into seasonal flow forecasting potential for large lakes.Hydrology and Earth System Sciences,22(1). |
MLA | Sene K.,et al."Exploratory studies into seasonal flow forecasting potential for large lakes".Hydrology and Earth System Sciences 22.1(2018). |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Sene K.]的文章 |
[Tych W.]的文章 |
[Beven K.]的文章 |
百度学术 |
百度学术中相似的文章 |
[Sene K.]的文章 |
[Tych W.]的文章 |
[Beven K.]的文章 |
必应学术 |
必应学术中相似的文章 |
[Sene K.]的文章 |
[Tych W.]的文章 |
[Beven K.]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。