Date

12-2016

Mentor

Angela Bowman, Department of Geological and Atmospheric Sciences, Iowa State University

Abstract

Flooding is a serious risk for areas of the world that are near rivers and streams. The current operational standard in forecasting the conditions of these rivers and streams is the Sacramento Soil Moisture Assimilation model. For that reason, an accuracy analysis of the streamflow forecasts of the lumped version of the model was conducted. Many previous studies have looked at calibration of individual model components and assimilation methods, but basic accuracy and sensitivity analysis also important to consider. Different precipitation data sets were used to determine model sensitivity to precipitation inputs. Analysis was also conducted to see whether or not the sensitivity to times scales would be significant in the simulated streamflow values. Findings can be used for model correction and consideration of model biases as well as providing useful considerations when issuing flood warnings and other types of public communication.

Copyright Owner

Tyler Morrison

DOI

https://doi.org/10.31274/mteor_stheses-180813-8

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