Articles | Volume 27, issue 21
Research article
13 Nov 2023
Research article |  | 13 Nov 2023

Inferring reservoir filling strategies under limited-data-availability conditions using hydrological modeling and Earth observations: the case of the Grand Ethiopian Renaissance Dam (GERD)

Awad M. Ali, Lieke A. Melsen, and Adriaan J. Teuling

Data sets

Data underlying the paper "Inferring reservoir filling strategies under limited data availability using hydrological modelling and Earth observation: the case of the Grand Ethiopian Renaissance Dam (GERD)'' A. M. Ali

Landsat Collection-1 Level-2 USGS - United States Geological Survey

The NOAA African Rainfall Climatology (ARC) Version 2 dataset (ARC2) NOAA-CPC

Index of /climate_environment/GPCC/full_data_daily_v2020/ DWD - the German Meteorological Service

Short summary
Using a new approach based on a combination of modeling and Earth observation, useful information about the filling of the Grand Ethiopian Renaissance Dam can be obtained with limited data and proper rainfall selection. While the monthly streamflow into Sudan has decreased significantly (1.2 × 109–5 × 109 m3) with respect to the non-dam scenario, the negative impact has been masked due to higher-than-average rainfall. We reveal that the dam will need 3–5 more years to complete filling.