Date of Completion

1-23-2017

Embargo Period

1-20-2018

Keywords

Satellite precipitation, error propagation, hydrologic model, flash flood, rainfall variability, runoff coefficient, runoff routing, baseflow

Major Advisor

Emmanouil N. Anagnostou

Associate Advisor

Efthymios I. Nikolopoulos

Associate Advisor

Guiling Wang

Associate Advisor

Amvrossios C. Bagtzoglou

Associate Advisor

Marina Astitha

Field of Study

Environmental Engineering

Degree

Doctor of Philosophy

Open Access

Open Access

Abstract

The overarching goal of the research described in this dissertation is to understand the hydrologic implications of error propagation from satellite precipitation products to hydrologic simulations. The complex interaction between precipitation error and corresponding hydrologic response is examined following a numerical- and an analytical-based method. The application of a hydrologic model forced by various satellite precipitation products is adopted as the numerical-based framework that was used to identify the properties of error propagation with respect to a number of factors (e.g. basin scale, seasonality, severity of rainfall and flow). Results show better consistency between gauges for events occurred over larger scale basins during warm season months that are associated with moderate intensity of rain and flow rate. In addition to the numerical investigation, an analytical framework is developed to decompose the error propagation into space-time components. This essentially allows to assess the relative contribution of the different processes of catchment flood response on error propagation. It is shown that error in timing of flood event is equally attributed to due to error in runoff generation and routing time. Error in hydrograph shape is mainly controlled by the error in the variability of runoff generation time while error in flood volume is predominantly controlled by the error in rainfall volume. Overall, these investigations provide important information for the hydrologic modelers to choose the appropriate precipitation products for the hydrologic-related practice. It also serves as a guidance for the product developers on the designs of more advance retrieval algorithms.

Available for download on Saturday, January 20, 2018

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