Implementation of robust statistics in the calibration, verification and validation step of model evaluation to better reflect processes concerning total phosphorus load occurring in the catchment

Mieczysław S. Ostojski, Joanna Gębala, Paulina Orlińska-Woźniak and Paweł Wilk

Ecological Modelling, 2016, vol. 332, issue C, 83-93

Abstract: Obtaining a high quality of environmental modeling in the calibration, verification and validation processes causes problems for modelers all over the world. Uncontrolled variability of environmental conditions (diversity of natural phenomena, meteorological and climatic conditions occurring within the drainage basin), inaccuracy of measurement equipment, averaging the data obtained and the errors of human work vitiates data population to a greater or lesser extent. These factors impede the evaluation of modeling, described as the “goodness of fit” of modeling results to that of observational data.

Keywords: Mathematical modeling; Outliers data; Robust statistic; Calibration; Verification; Validation (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:332:y:2016:i:c:p:83-93

DOI: 10.1016/j.ecolmodel.2016.04.004

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