Surface water dynamics of Lake Chad Basin (Sahelian Africa) based on daily temporal resolution Earth observation time series

ABSTRACT Water availability is vital for the sustenance of livelihoods in the Lake Chad Basin. However, the daily and seasonal dynamics of open water bodies are not well understood. This study aims to (1) analyze the daily and seasonal dynamics of water bodies, (2) estimate changes in surface water area extent including trends and change points, and (3) assess the connection between surface water extent and seasonal rainfall variation. To achieve this, we used the Global WaterPack and ERA5-Land daily aggregated datasets. We employed time series decomposition, trends analysis, and temporal lag correlation in our analysis. The results showed strong seasonal patterns of natural lakes compared to reservoirs/dams. Between 2003 and 2022, Lake Chad averaged 2,475.64 km2. The Northern pool of Lake Chad exhibited significant fluctuations, remaining below 600 km² between 2005 and 2012, from 2016 to 2019), with less than 350 km2 lasting only for a few days annually. The Southern pool averaged between 2,200 and 2,400 km2, except during drought years (2006–2007), specifically between the days of the year to approximately 66, and days 301–365/6. In Lake Fitri, the yearly maximum and minimum water extents were observed between days 1–59 and 305–365/6, and between days 60 and 304, respectively.

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Publication Details

Journal
Journal of Hydroinformatics
Published
2024-08-29
DOI
https://doi.org/10.2166/hydro.2024.130
Citations
3
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.85

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article

Surface water dynamics of Lake Chad Basin (Sahelian Africa) based on daily temporal resolution Earth observation time series

Reeves M. Fokeng, Igor Klein, Soner Uereyen, Patrick Sogno et al.
3 citations
Journal of Hydroinformatics
Flood Risk Assessment and Management
0.85
article

Surface water dynamics of Lake Chad Basin (Sahelian Africa) based on daily temporal resolution Earth observation time series

Reeves M. Fokeng, Igor Klein, Soner Uereyen, Patrick Sogno, Claudia Kuenzer, Felix Bachofer
article en
3 citations

Abstract

ABSTRACT Water availability is vital for the sustenance of livelihoods in the Lake Chad Basin. However, the daily and seasonal dynamics of open water bodies are not well understood. This study aims to (1) analyze the daily and seasonal dynamics of water bodies, (2) estimate changes in surface water area extent including trends and change points, and (3) assess the connection between surface water extent and seasonal rainfall variation. To achieve this, we used the Global WaterPack and ERA5-Land daily aggregated datasets. We employed time series decomposition, trends analysis, and temporal lag correlation in our analysis. The results showed strong seasonal patterns of natural lakes compared to reservoirs/dams. Between 2003 and 2022, Lake Chad averaged 2,475.64 km2. The Northern pool of Lake Chad exhibited significant fluctuations, remaining below 600 km² between 2005 and 2012, from 2016 to 2019), with less than 350 km2 lasting only for a few days annually. The Southern pool averaged between 2,200 and 2,400 km2, except during drought years (2006–2007), specifically between the days of the year to approximately 66, and days 301–365/6. In Lake Fitri, the yearly maximum and minimum water extents were observed between days 1–59 and 305–365/6, and between days 60 and 304, respectively.

Journal of HydroinformaticsVol. 26(9)
University of Würzburg (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
National Aeronautics and Space Administration, Alexander von Humboldt-Stiftung, United Nations Educational, Scientific and Cultural Organization, European Space Agency, Deutsches Zentrum für Luft- und Raumfahrt, Deutsche Gesellschaft für Internationale Zusammenarbeit, European Centre for Medium-Range Weather Forecasts, Joint Research Centre, FP7 International Cooperation
Clean water and sanitation
Openalex Percentile: Top 28%
Flood Risk Assessment and Management
0.85
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