Can global precipitation datasets benefit the estimation of the area to be cropped in irrigated agriculture?
<p>The area to be cropped in irrigation districts needs to be planned according to the available water resources to avoid agricultural production loss. However, the period of record of local hydro-meteorological data may be short, leading to an incomplete understanding of climate variability a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-05-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://www.hydrol-earth-syst-sci.net/23/2351/2019/hess-23-2351-2019.pdf |
| Summary: | <p>The area to be cropped in irrigation districts needs to be
planned according to the available water resources to avoid agricultural
production loss. However, the period of record of local hydro-meteorological
data may be short, leading to an incomplete understanding of climate
variability and consequent uncertainty in estimating surface water
availability for irrigation area planning. In this study we assess the
benefit of using global precipitation datasets to improve surface water
availability estimates. A reference area that can be irrigated is established
using a complete record of 30 years of observed river discharge data. Areas
are then determined using simulated river discharges from six local
hydrological models forced with in situ and global precipitation datasets
(CHIRPS and MSWEP), each calibrated independently with a sample of 5 years
extracted from the full 30-year record. The utility of establishing the
irrigated area based on simulated river discharge simulations is compared
against the reference area through a pooled relative utility value (PRUV).
Results show that for all river discharge simulations the benefit of choosing
the irrigated area based on the 30 years of simulated data is higher compared
to using only 5 years of observed discharge data, as the statistical spread
of PRUV using 30 years is smaller. Hence, it is more beneficial to calibrate
a hydrological model using 5 years of observed river discharge and then to
extend it with global precipitation data of 30 years as this weighs up
against the model uncertainty of the model calibration.</p> |
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| ISSN: | 1027-5606 1607-7938 |