Irrigation modelling needs better epistemology

Arnald Puy; Michela Massimi; Bruce Lankford; Andrea Saltelli

doi:10.1038/s43017-023-00459-0

Irrigation modelling needs better epistemology

Arnald Puy^*, Michela Massimi, Bruce Lankford, Andrea Saltelli

^*Corresponding author for this work

Geography, Earth and Environmental Sciences

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Modelling of irrigation water withdrawals aims for accurate and relatively objective estimates, but three epistemological obstacles (models’ elusive tie to reality, model plurality and indeterminacy of the target system) make this premise unattainable. However, if used to explore possibilities within the known and unknown, irrigation models can overcome these problems to inform action.

Original language	English
Journal	Nature Reviews Earth & Environment
DOIs	https://doi.org/10.1038/s43017-023-00459-0
Publication status	E-pub ahead of print - 29 Jun 2023

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title = "Irrigation modelling needs better epistemology",

abstract = "Modelling of irrigation water withdrawals aims for accurate and relatively objective estimates, but three epistemological obstacles (models{\textquoteright} elusive tie to reality, model plurality and indeterminacy of the target system) make this premise unattainable. However, if used to explore possibilities within the known and unknown, irrigation models can overcome these problems to inform action.",

author = "Arnald Puy and Michela Massimi and Bruce Lankford and Andrea Saltelli",

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T1 - Irrigation modelling needs better epistemology

AU - Puy, Arnald

AU - Massimi, Michela

AU - Lankford, Bruce

AU - Saltelli, Andrea

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Y1 - 2023/6/29

N2 - Modelling of irrigation water withdrawals aims for accurate and relatively objective estimates, but three epistemological obstacles (models’ elusive tie to reality, model plurality and indeterminacy of the target system) make this premise unattainable. However, if used to explore possibilities within the known and unknown, irrigation models can overcome these problems to inform action.

AB - Modelling of irrigation water withdrawals aims for accurate and relatively objective estimates, but three epistemological obstacles (models’ elusive tie to reality, model plurality and indeterminacy of the target system) make this premise unattainable. However, if used to explore possibilities within the known and unknown, irrigation models can overcome these problems to inform action.

U2 - 10.1038/s43017-023-00459-0

DO - 10.1038/s43017-023-00459-0

M3 - Comment/debate

SN - 2662-138X

JO - Nature Reviews Earth & Environment

JF - Nature Reviews Earth & Environment

ER -

Irrigation modelling needs better epistemology

Abstract

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