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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Evaluating country-scale irrigation demand through parsimonious agro-hydrological modeling

Authors: Chiesa Turiano, Nike; Ridolfi, Luca; Laio, Francesco; Tuninetti, Marta;

Evaluating country-scale irrigation demand through parsimonious agro-hydrological modeling

Abstract

WaterCROPv2 is an advanced agro-hydrological model designed to estimate irrigationwater demand at a national scale by effectively balancing hydrological accuracy with manageable datarequirements. Building on the original WaterCROPv1 model, WaterCROPv2 incorporates severalsignificant enhancements, including hourly computation, rainwater canopy interception, soil-dependent5leakage dynamics, and daily evapotranspiration trends based on localized meteorological data. WaterCROPv2 was used to assess mean irrigation water demand for maize from 2005to 2015, illustrating its potential as a decision-support tool for policymakers. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average