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Research output: Thesis › Doctoral Thesis
Research output: Thesis › Doctoral Thesis
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TY - BOOK
T1 - Utilising Reverse Hydrology to quantify and improve the spatio-temporal information content of catchment rainfall estimates for flood modelling
AU - Kretzschmar, Ann
PY - 2017
Y1 - 2017
N2 - Reverse Hydrology is a term describing methods for estimating rainfall fromstreamflow. The method presented here is based on combining inversion of a causalrainfall-runoff model with regularisation. This novel method,termed RegDer, combines a continuous-time transfer function model with regularisedderivative estimates and is compared with an alternative method for direct inversion ofa discrete-time transfer function using sub-hourly data from two catchments withcontrasting rainfall and catchment storage characteristics. It has been demonstrated torecover the prominent features of the observed rainfall enabling it to generate astreamflow hydrograph indistinguishable from the observed catchment outflow. Theloss of temporal resolution of the resultant rainfall series is the price paid for thenumerical stability of the RegDer method, however this does not affect its ability tocapture the dynamics required for streamflow generation. The inferred rainfall serieswas initially interpreted as an estimate of catchment rainfall but was later moreprecisely described as the rainfall necessary for generating streamflow – DischargeGenerating Rainfall (DGR). The spatial aspect of the method was investigated usingdata from a densely gauged catchment. Frequency domain aspects of RegDer dualinterpretation as a composite spectral decomposition method are analysed anddiscussed in the context of catchment data. Potential applications and developments ofthe approach include in-filling and extending rainfall records, reducing uncertainty inboth gauged and ungauged catchments by improving rainfall estimates, assessing andrefining rain gauge networks and re-evaluating areal rainfall estimation.
AB - Reverse Hydrology is a term describing methods for estimating rainfall fromstreamflow. The method presented here is based on combining inversion of a causalrainfall-runoff model with regularisation. This novel method,termed RegDer, combines a continuous-time transfer function model with regularisedderivative estimates and is compared with an alternative method for direct inversion ofa discrete-time transfer function using sub-hourly data from two catchments withcontrasting rainfall and catchment storage characteristics. It has been demonstrated torecover the prominent features of the observed rainfall enabling it to generate astreamflow hydrograph indistinguishable from the observed catchment outflow. Theloss of temporal resolution of the resultant rainfall series is the price paid for thenumerical stability of the RegDer method, however this does not affect its ability tocapture the dynamics required for streamflow generation. The inferred rainfall serieswas initially interpreted as an estimate of catchment rainfall but was later moreprecisely described as the rainfall necessary for generating streamflow – DischargeGenerating Rainfall (DGR). The spatial aspect of the method was investigated usingdata from a densely gauged catchment. Frequency domain aspects of RegDer dualinterpretation as a composite spectral decomposition method are analysed anddiscussed in the context of catchment data. Potential applications and developments ofthe approach include in-filling and extending rainfall records, reducing uncertainty inboth gauged and ungauged catchments by improving rainfall estimates, assessing andrefining rain gauge networks and re-evaluating areal rainfall estimation.
KW - Hydrology
KW - Inverse modelling
KW - DBM modelling
U2 - 10.17635/lancaster/thesis/162
DO - 10.17635/lancaster/thesis/162
M3 - Doctoral Thesis
PB - Lancaster University
ER -