Analysis of the effects of uncertainties on agrometeorological models

1st Workshop on Metrology for Agriculture and Forestry

农业科学;数学

Garinei, A.^1 ; Marini, A.^2 ; Piccioni, E.^3 ; Marconi, M.^1 ; Biondi, L.^1 ; Bertolini, A.^4 ; Ferrari, G.^4

Guglielmo Marconi University, Department of Sustainability Engineering, via Plinio 44, Roma

00193, Italy^1

INFN, Section of Perugia, Via A.Pascoli, Perugia

06123, Italy^2

Idea-re S.r.l., Via Cornelia, 498, Roma

00166, Italy^3

Radarmeteo S.r.l., via IV Novembre 119, Due Carrare, Padova

35020, Italy^4

关键词: Agrometeorological modeling;    Downy mildew;    Input datas;    Measurements of;    Meteorological data;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/275/1/012012/pdf
DOI  :  10.1088/1755-1315/275/1/012012

学科分类：农业科学（综合）

来源: IOP

【 摘 要 】

We analyze how the uncertainties in meteorological data affect the outcome of an agrometeorological model. In particular we focus on a model simulating the development of primary infections of downy mildew on grapevine. This model takes as inputs hourly measurements of temperature, relative humidity and rainfall and it simulates all the phases that eventually lead to the downy mildew primary infections. In order to assess the robustness of the model against the uncertainties of the input data we set up a Monte Carlo simulation. This procedure enhances the potentiality of the model since allows to extract, as an additional valuable piece of information, the probability of the infection event. The results we obtain are highly significant and suggest that the effects of the uncertainties are actually important and should be carefully evaluated.