Comparison of sensitivity analysis methods for data assimilation in a sugar cane model
Remote sensing can be very useful for spatialising a one dimension dynamic crop model at the scale of a territory. Spatialising a crop model can be done through a spatial estimation of its inputs. The comparison through time series of remote sensing observations and model simulations can be a way of spatialising model inputs by minimising the differences between observations and simulations (optimisation of inputs). It is strongly advisable to perform a sensitivity analysis to determine what are the inputs that have to be estimated This study is based on the sugarcane model MOSICAS and proposes a comparison between four methods of sensitivity analysis, which are quite easy to implement with crop models and well adapted to large scale simulations. The first one is a simple local method where the effect of input variation is studied independently. The three others are global methods. The second is based on a complete factorial design and on an ANOVA; the third one is a stochastic method and uses coefficients of correlation. The last one is also stochastic and calculates sensitivity index independently from a linear approximation of the model. The results show that the results of the different methods are consistent, i.e. all methods point out the same inputs, but on a more quantitative point of view, the order of sensitivity between methods may change. More over, the last two methods are more informative, but more time consuming too.
| Main Authors: | , , |
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| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
Universitat de Valencia
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| Subjects: | U10 - Informatique, mathématiques et statistiques, U30 - Méthodes de recherche, télédétection, méthode, modèle de simulation, technique analytique, modèle mathématique, Saccharum, modélisation des cultures, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_4788, http://aims.fao.org/aos/agrovoc/c_24242, http://aims.fao.org/aos/agrovoc/c_1513, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_6725, http://aims.fao.org/aos/agrovoc/c_9000024, http://aims.fao.org/aos/agrovoc/c_6543, http://aims.fao.org/aos/agrovoc/c_3081, |
| Online Access: | http://agritrop.cirad.fr/545414/ |
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