Omar G. M., Paturel Jean-Emmanuel, Salles C., Mahé Gil, Jalludin M., Satgé Frédéric, Nour M. I. (2023). Evaluation of rainfall products in semi-arid areas : application to the Southeast of the Republic of Djibouti and a focus on the Ambouli catchment. Water, 15 (12), p. 2168 [22 p.].
Titre du document
Evaluation of rainfall products in semi-arid areas : application to the Southeast of the Republic of Djibouti and a focus on the Ambouli catchment
Omar G. M., Paturel Jean-Emmanuel, Salles C., Mahé Gil, Jalludin M., Satgé Frédéric, Nour M. I.
Source
Water, 2023,
15 (12), p. 2168 [22 p.]
The Republic of Djibouti is a small country in the Horn of Africa and, as in most developing countries, rain gauges are sparse and data are scarce. This study aims to report on the reliability of gridded precipitation datasets (P datasets) across the Republic of Djibouti through direct comparisons with rain gauge measurements from the annual to the daily time scales. Our specific objective is to be able to use such products in the context of hydrological modeling at a daily time step. Given the scarcity of available data in the Republic of Djibouti, our study was carried out on two time windows (1980-1990 and 2008-2013) and two gauge networks with different spatial resolutions: the southeast of the Republic of Djibouti (5000 km(2)) and the Ambouli catchment (794 km(2)), which drains the city of Djibouti. The reliability of these products is analyzed with quantitative metrics and categorical metrics, exclusively at a daily time step for the latter. The performance of the P datasets degrades from the annual time scale to the daily time scale. Even though the same products exhibit the best performance at the various time scales, the performance of most of the products differs from one spatial scale to another. Our results demonstrate the importance of the temporal and spatial windows, as the same products can perform differently according to the scale. For all the spatiotemporal scales, the most reliable product is MSWEP v.2.2. This P dataset is derived from a combination of satellite products (multiple sensors such as infrared and passive microwave), reanalysis products, and rain gauge observations. A strong discrepancy between rain gauge observations and P datasets is revealed according to the categorical metric at a daily time step. The analysis of rainfall events triggering runoff, using a 10 mm rainfall threshold, showed that the most efficient products were unable to accurately detect such events at a daily time step, with a significant underestimation of rainfall events higher than 10 mm. None of these products, even the most reliable, can be used for a calibration/validation of a hydrological model at a daily time step.
