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^* (Lead Author), Michela Massimi, Bruce Lankford, Andrea Saltelli

^*Corresponding author for this work

School of Philosophy, Psychology and Language 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 (the models’ elusive tie to reality, the issue of model plurality, and the 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
Pages (from-to)	427-428
Journal	Nature Reviews Earth & Environment
Volume	4
Early online date	29 Jun 2023
DOIs	https://doi.org/10.1038/s43017-023-00459-0
Publication status	Published - Jul 2023

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10.1038/s43017-023-00459-0

PuyEtAlNREAE2023IrrigationModellingAccepted author manuscript, 166 KBLicence: Creative Commons: Attribution (CC-BY)

1 Finished

Perspectival Realism. Science, Knowledge, and Truth from a Human Vantage Point.
Massimi, M.
EU government bodies
1/01/16 → 30/06/21
Project: Research

1 Book

Perspectival Realism
Massimi, M., 2022, New York: Oxford University Press. 432 p. (Oxford Studies in Philosophy of Science)
Research output: Book/Report › Book

Open Access
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Cite this

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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 (the models{\textquoteright} elusive tie to reality, the issue of model plurality, and the 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",

note = "Acknowledgements: We thank J. Larsen for insights on crop evapotranspiration processes. All errors and misinterpretations are our own. This work was funded by UK Research and Innovation (UKRI) under the UK government{\textquoteright}s Horizon Europe funding guarantee [grant number EP/Y02463X/1].",

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AU - Puy, Arnald

AU - Massimi, Michela

AU - Lankford, Bruce

AU - Saltelli, Andrea

N1 - Acknowledgements: We thank J. Larsen for insights on crop evapotranspiration processes. All errors and misinterpretations are our own. This work was funded by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee [grant number EP/Y02463X/1].

PY - 2023/7

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N2 - Modelling of irrigation water withdrawals aims for accurate and relatively objective estimates, but three epistemological obstacles (the models’ elusive tie to reality, the issue of model plurality, and the 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 (the models’ elusive tie to reality, the issue of model plurality, and the 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

VL - 4

SP - 427

EP - 428

JO - Nature Reviews Earth & Environment

JF - Nature Reviews Earth & Environment

ER -

Irrigation modelling needs better epistemology

Abstract

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Projects

Perspectival Realism. Science, Knowledge, and Truth from a Human Vantage Point.

Research output

Perspectival Realism

Cite this