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Seasonal flow forecasting in Africa: exploratory studies for large lakes

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Seasonal flow forecasting in Africa: exploratory studies for large lakes. / Sene, Kevin; Tych, Wlodek.
In: Proceedings of the International Association of Hydrological Sciences, Vol. 384, 16.11.2021, p. 289-293.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Sene, K & Tych, W 2021, 'Seasonal flow forecasting in Africa: exploratory studies for large lakes', Proceedings of the International Association of Hydrological Sciences, vol. 384, pp. 289-293. https://doi.org/10.5194/piahs-384-289-2021

APA

Sene, K., & Tych, W. (2021). Seasonal flow forecasting in Africa: exploratory studies for large lakes. Proceedings of the International Association of Hydrological Sciences, 384, 289-293. https://doi.org/10.5194/piahs-384-289-2021

Vancouver

Sene K, Tych W. Seasonal flow forecasting in Africa: exploratory studies for large lakes. Proceedings of the International Association of Hydrological Sciences. 2021 Nov 16;384:289-293. doi: 10.5194/piahs-384-289-2021

Author

Sene, Kevin ; Tych, Wlodek. / Seasonal flow forecasting in Africa : exploratory studies for large lakes. In: Proceedings of the International Association of Hydrological Sciences. 2021 ; Vol. 384. pp. 289-293.

Bibtex

@article{f34318561f054d7aa18f8b6ff95d2365,
title = "Seasonal flow forecasting in Africa: exploratory studies for large lakes",
abstract = "For many applications, it would be extremely useful to have insights into river flows at timescales of a few weeks to months ahead. However, seasonal predictions of this type are necessarily probabilistic which raises challenges both in generating forecasts and their interpretation. Despite this, an increasing number of studies have shown promising results and this is an active area for research. In this paper, we discuss insights gained from previous studies using a novel combined water balance and data-driven approach for two of Africa's largest lakes, Lake Victoria and Lake Malawi. Factors which increased predictability included the unusually long hydrological response times and statistically significant links to ocean-atmosphere processes such as the Indian Ocean Dipole. Other lessons learned included the benefits of data assimilation and the need for care in the choice of performance metrics.",
author = "Kevin Sene and Wlodek Tych",
year = "2021",
month = nov,
day = "16",
doi = "10.5194/piahs-384-289-2021",
language = "English",
volume = "384",
pages = "289--293",
journal = "Proceedings of the International Association of Hydrological Sciences",
issn = "2199-899X",
publisher = "Copernicus GmbH",

}

RIS

TY - JOUR

T1 - Seasonal flow forecasting in Africa

T2 - exploratory studies for large lakes

AU - Sene, Kevin

AU - Tych, Wlodek

PY - 2021/11/16

Y1 - 2021/11/16

N2 - For many applications, it would be extremely useful to have insights into river flows at timescales of a few weeks to months ahead. However, seasonal predictions of this type are necessarily probabilistic which raises challenges both in generating forecasts and their interpretation. Despite this, an increasing number of studies have shown promising results and this is an active area for research. In this paper, we discuss insights gained from previous studies using a novel combined water balance and data-driven approach for two of Africa's largest lakes, Lake Victoria and Lake Malawi. Factors which increased predictability included the unusually long hydrological response times and statistically significant links to ocean-atmosphere processes such as the Indian Ocean Dipole. Other lessons learned included the benefits of data assimilation and the need for care in the choice of performance metrics.

AB - For many applications, it would be extremely useful to have insights into river flows at timescales of a few weeks to months ahead. However, seasonal predictions of this type are necessarily probabilistic which raises challenges both in generating forecasts and their interpretation. Despite this, an increasing number of studies have shown promising results and this is an active area for research. In this paper, we discuss insights gained from previous studies using a novel combined water balance and data-driven approach for two of Africa's largest lakes, Lake Victoria and Lake Malawi. Factors which increased predictability included the unusually long hydrological response times and statistically significant links to ocean-atmosphere processes such as the Indian Ocean Dipole. Other lessons learned included the benefits of data assimilation and the need for care in the choice of performance metrics.

U2 - 10.5194/piahs-384-289-2021

DO - 10.5194/piahs-384-289-2021

M3 - Journal article

VL - 384

SP - 289

EP - 293

JO - Proceedings of the International Association of Hydrological Sciences

JF - Proceedings of the International Association of Hydrological Sciences

SN - 2199-899X

ER -