Exploratory studies into seasonal flow forecasting potential for large lakes

Sene, Kevin and Tych, Wlodzimierz and Beven, Keith John (2018) Exploratory studies into seasonal flow forecasting potential for large lakes. Hydrology and Earth System Sciences, 22. pp. 127-141. ISSN 1027-5606

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Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
Hydrology and Earth System Sciences
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2312
Subjects:
ID Code:
89646
Deposited By:
Deposited On:
11 Jan 2018 13:58
Refereed?:
Yes
Published?:
Published
Last Modified:
09 Sep 2020 04:36