Gauging the ungauged
estimating rainfall in a West African urbanized river basin using ground-based and spaceborne sensors
L. Bogerd (Wageningen University & Research, Royal Netherlands Meteorological Institute (KNMI))
Rose Boahemaa Pinto (Wageningen University & Research)
Hidde Leijnse (Royal Netherlands Meteorological Institute (KNMI))
J. F. Meirink (Royal Netherlands Meteorological Institute (KNMI))
Tim van Emmerik (Wageningen University & Research)
R. Uijlenhoet (TU Delft - Water Resources)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Accurate precipitation observations are crucial for hydrological forecasts, notably over rapidly responding urban areas. This study evaluated the accuracy of three gridded spaceborne rainfall products (Integrated Multi-satellitE Retrievals for GPM (IMERG), Meteosat Second Generation Visible (MSG-VIS), and MSG-Infrared (MSG-IR)) and the non-governmental Trans-African Hydro-Meteorological Observatory (TAHMO) gauges across the Odaw catchment (Accra, Ghana) from January 2020-July 2022. IMERG is hardly able to capture the strong spatial variability of rainfall required for flood forecasting, but agrees in annual sums with TAHMO and MSG-IR. MSG-IR has difficulties during the wet season. MSG-VIS, only available during daylight, shows limited accuracy and gives high estimates while other products do not detect rain. TAHMO gauges effectively record high-intensity events and their strong spatial variability, although some (daily) accumulations are doubtful and data gaps exist due to technical issues. These findings assist hydrological modelers in selecting appropriate datasets at suitable spatiotemporal resolutions for their research.
help_outline