2019
DOI: 10.5194/hess-2019-639
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A time-varying parameter estimation approach using split-sample calibration based on dynamic programming

Abstract: Abstract. Although the parameters of hydrological models are usually regarded as constant, temporal variations can occur in a changing environment. Thus, effectively estimating time-varying parameters becomes a significant challenge. Following a survey of existing estimation methodologies, this paper describes a new method that combines (1) the basic concept of split-sample calibration (SSC), whereby parameters are assumed to be stable for one sub-period, and (2) the parameter continuity assumption, i.e., the … Show more

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“…The primary disadvantage to this approach is that it does not, in general, encourage TVP estimates with continuous or incremental variation which may be a desirable condition for parameter estimates. Recent work has been done in attempts to identify corrections to the split‐sample procedure to help rectify this issue, however (Zhang & Liu, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The primary disadvantage to this approach is that it does not, in general, encourage TVP estimates with continuous or incremental variation which may be a desirable condition for parameter estimates. Recent work has been done in attempts to identify corrections to the split‐sample procedure to help rectify this issue, however (Zhang & Liu, 2021).…”
Section: Introductionmentioning
confidence: 99%