Understanding the Scale Relationships of Uncertainty Propagation of Satellite Rainfall through a Distributed Hydrologic Model

Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Faisal Hossain, Mekonnen Gebremichael, Marco Borga
<span title="">2010</span> <i title="American Meteorological Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i5od5eofrnhevoxsbkipb4pmxi" style="color: black;">Journal of Hydrometeorology</a> </i> &nbsp;
The study presents a data-based numerical experiment performed to understand the scale relationships of the error propagation of satellite rainfall for flood evaluation applications in complex terrain basins. A satellite rainfall error model is devised to generate rainfall ensembles based on two satellite products with different retrieval accuracies and space-time resolutions. The generated ensembles are propagated through a distributed physics-based hydrologic model to simulate the
more &raquo; ... off processes at different basin scales. The resulted hydrographs are compared against the hydrograph obtained by using high-resolution radar rainfall as the "reference" rainfall input. The error propagation of rainfall to stream runoff is evaluated for a number of basin scales ranging between 100 and 1200 km 2 . The results from this study show that (i) use of satellite rainfall for flood simulation depends strongly on the scale of application (catchment area) and the satellite product resolution, (ii) different satellite products perform differently in terms of hydrologic error propagation, and (iii) the propagation of error depends on the basin size; for example, this study shows that small watersheds (,400 km 2 ) exhibit a higher ability in dampening the error from rainfall to runoff than larger-sized watersheds, although the actual error increases as drainage area decreases.
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