Personal profile
Research interests
Arnald Puy focuses on understanding and appraising uncertainties in contentious phenomena, especially those related with agriculture, climate and water resources. His research aims at providing insights for sustainability and makes use of mathematical models, uncertainty and sensitivity analysis, post-normal science and ethics of quantification.
He is the PI of the 5-year project "DAWN: Illuminating Deep Uncertainties in the Estimation of Irrigation Withdrawals", a £1.7 M Frontier Research Grant funded by UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee (EP/Y02463X/1). DAWN combines philosophy, modelling, hydrology and anthropology to study the uncertainties ingrained in the calculation of global irrigation water needs. See DAWN's webpage for further details here.
Keywords
- S Agriculture (General)
- Irrigation agriculture
- GN Anthropology
- Traditional knowledge
- B Philosophy (General)
- Post-normal science
- QA75 Electronic computers. Computer science
- Uncertainty analysis
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger
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SDG 3 Good Health and Well-being
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SDG 6 Clean Water and Sanitation
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
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SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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Digital twins of the Earth between vision and fiction
Saltelli, A., Melsen, L. A. & Puy, A., 9 Apr 2025, (E-pub ahead of print) In: Minerva.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Downloads (Pure) -
Global irrigation modeling relies more on pragmatic than empirical assumptions
Linga, S. N., Aguiló‐Rivera, C., Larsen, J., Massimi, M., Wei, N. & Puy, A., 5 Dec 2025, In: Water Resources Research. 61, 12, 13 p., e2025WR040674.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Socio-environmental modeling shows physics-like confidence with water modeling surpassing it in numerical claims
Puy, A., Bacon, E., Carmona, A., Flinders, S., Gefen, D., Khanjani, M., Larsen, K. R., Lachi, A., Linga, S. N., Lo Piano, S., Melsen, L. A., Murray, E., Sheikholeslami, R., Sobhani, A., Wei, N. & Saltelli, A., 18 Apr 2025, In: iScience. 28, 4, 15 p., 112184.Research output: Contribution to journal › Article › peer-review
Open AccessFile14 Downloads (Pure) -
The rise of the Nash-Sutcliffe efficiency in hydrology
Melsen, L. A., Puy, A., J. J. F. Torfs, P. & Saltelli, A., 16 Apr 2025, (E-pub ahead of print) In: Hydrological Sciences Journal.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
Widely cited global irrigation statistics lack empirical support
Puy, A., Linga, S. N., Wei, N., Flinders, S., Callow, B., Allen, G., Cross, B., Aguiló-Rivera, C. & Lankford, B., 11 Nov 2025, In: PNAS nexus. 4, 11, 12 p., pgaf323.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure)
Projects
- 1 Active
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DAWN - Illuminating Deep Uncertainties in the Estimation of Irrigation Water Withdrawals
Puy, A. (Principal Investigator)
UKRI Horizon Europe Underwriting EPSRC
1/09/23 → 31/08/28
Project: Research Councils