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The study of single streamflow recession events is receivingincreasing attention following the presentation of novel theoreticalexplanations for the emergence of power law forms of the recessionrelationship, and drivers of its variability. Individually characterizingstreamflow recessions often involves describing the similarities anddifferences between model parameters fitted to each recession time series.Significant methodological sensitivity has been identified in the fitting andparameterization of models that describe populations of many recessions, butthe dependence of estimated model parameters on methodological choices hasnot been evaluated for event-by-event forms of analysis. Here, we use dailystreamflow data from 16 catchments in northern California and southern Oregonto investigate how combinations of commonly used streamflow recessiondefinitions and fitting techniques impact parameter estimates of awidely used power law recession model. Results are relevant to watershedsthat are relatively steep, forested, and rain-dominated. The highly seasonalmediterranean climate of northern California and southern Oregon ensuresstudy catchments explore a wide range of recession behaviors and wetnessstates, ideal for a sensitivity analysis. In such catchments, we show the following: (i) methodological decisions, including ones that have received little attention in the literature, can impact parameter value estimates and model goodness of fit; (ii) the central tendencies of event-scale recessionparameter probability distributions are largely robust to methodologicalchoices, in the sense that differing methods rank catchments similarlyaccording to the medians of these distributions; (iii) recession parameterdistributions are method-dependent, but roughly catchment-independent, suchthat changing the choices made about a particular method affects a givenparameter in similar ways across most catchments; and (iv) the observedcorrelative relationship between the power-law recession scale parameter andcatchment antecedent wetness varies depending on recession definition andfitting choices. Considering study results, we recommend a combination offour key methodological decisions to maximize the quality of fitted recessioncurves, and to minimize bias in the related populations of fitted recessionparameters

Event-scale power law recession analysis: quantifying methodological uncertainty