Providing User-Oriented Uncertainty Information with a Vineyard Model Used for Irrigation Decisions

Roux, Sébastiên; Delpuech, Xavier; Daudin, Gabriel; Brun, François; Wéry, Jacques; Wallach, Daniel

doi:10.2134/advagricsystmodel5.c8

Cited by 3 publications

(1 citation statement)

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“…Water balance simulation models applied to vineyards (Lebon et al, 2003;Celette et al, 2010) are used in many studies and particularly in Mediterranean conditions: i) to provide a diagnosis tool on vineyard water stress (Pellegrino et al, 2006), ii) to analyse the effect of intercropping between vine rows (Celette et al, 2010;Ripoche et al, 2010) or iii) to study irrigation needs (Gaudin and Gary, 2012;Roux et al, 2014). The main model output is the dynamics of a normalized water stress index based on soil water content and called…”

Section: Vineyard Water Balance Modelmentioning

confidence: 99%

Why does spatial extrapolation of the vine water status make sense? Insights from a modelling approach

Roux

Gaudin

Tisseyre

2019

Agricultural Water Management

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Section: Vineyard Water Balance Modelmentioning

confidence: 99%

Why does spatial extrapolation of the vine water status make sense? Insights from a modelling approach

Roux

Gaudin

Tisseyre

2019

Agricultural Water Management

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A filter-based approach for global sensitivity analysis of models with functional inputs

Roux

Loisel

Buis

2019

Reliability Engineering & System Safety

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We design a method called filter-based global sensitivity analysis (filterbased GSA) to analyze computer models with functional inputs. Understanding the impact of functional inputs is central in many applications like building energy or environmental studies. The present work is a step further in the analysis of the impact of functional inputs signal components onto model responses of interest. To perform filter-based GSA, the functional inputs are modified with filters in order to either enhance or suppress some components in the signal. The influence of filters on the model response is assessed by computing the Sobol' indices of Boolean factors that trigger the filters application. Two relationships between these indices and the error resulting from the filters application are established. The method is illustrated with smoothing filters applied on the climatic inputs of a toy model simulating crop yield. We show that the high frequencies for three out of the four climatic inputs are not important in the tested configuration. The present method does not require any hypotheses on the model or the type of filters used. It seems promising for model understanding, validation or simplification.

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Syntheses of the Current Model Applications for Managing Water and Needs for Experimental Data and Model Improvements to Enhance these Applications

Ahuja

Lascano

et al. 2015

Practical Applications of Agricultural System Models to Optimize the Use of Limited Water

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Providing User-Oriented Uncertainty Information with a Vineyard Model Used for Irrigation Decisions

Cited by 3 publications

References 19 publications

Why does spatial extrapolation of the vine water status make sense? Insights from a modelling approach

Why does spatial extrapolation of the vine water status make sense? Insights from a modelling approach

A filter-based approach for global sensitivity analysis of models with functional inputs

Syntheses of the Current Model Applications for Managing Water and Needs for Experimental Data and Model Improvements to Enhance these Applications

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