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Lumbroso et al. (2011) applied disaggregation model for cross checking of produced IDF curves in Caribbean Region.
Coupling these methods with the shot noise disaggregation model was the least recommended due to bias resulting from numerical errors associated with repeated convolutions.
The sensitivity of the K-NN disaggregation model to the number of nearest neighbors (i.e. window size) was evaluated during the baseline period (1961 1990).
The so-called constant disaggregation model and a linear model based on the external temporal pattern of rainfall are first considered.
The present study uses a cascade disaggregation model to generate short time scale rainfall data, needed to calculate the erosivity index in erosion modeling.
The tree-level statistics support this hypothesis: the disaggregation model reduced MD by 26 and 19%, and MAD by 14 and 11% for tree survival probability and tree diameter, respectively, as compared to the unadjusted tree model.
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The implemented methodology is based on the principles of multicriteria analysis and preference disaggregation modelling.
They inferred that the performance of disaggregation models depended largely on how close the stand predictions were to the observed values.
This paper compares the performance of seven disaggregation models, based on various approaches and/or concepts, for the generation of 10-min time step rainfall series from hourly rainfall series.
The ability of the different disaggregation models to produce rainfall time series resulting in the same retention design than the one obtained with the observed rainfall series is finally analysed.
Since this relative size characteristic has also proved useful for modelling growth multipliers, a disaggregation modelling approach for linking the two modelling levels described in this paper is very likely to be successful.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com