Articles | Volume 26, issue 14
https://doi.org/10.5194/hess-26-3731-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-3731-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jul 2022
Research article |
| 18 Jul 2022
| 18 Jul 2022
Net irrigation requirement under different climate scenarios using AquaCrop over Europe
Louise Busschaert
CORRESPONDING AUTHOR
Department of Earth and Environmental Sciences, KU Leuven, Heverlee 3001, Belgium
Shannon de Roos
Department of Earth and Environmental Sciences, KU Leuven, Heverlee 3001, Belgium
Wim Thiery
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels 1050, Belgium
Dirk Raes
Department of Earth and Environmental Sciences, KU Leuven, Heverlee 3001, Belgium
Gabriëlle J. M. De Lannoy
Department of Earth and Environmental Sciences, KU Leuven, Heverlee 3001, Belgium
Viewed
Total article views: 4,835 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,553 | 1,192 | 90 | 4,835 | 87 | 90 |
- HTML: 3,553
- PDF: 1,192
- XML: 90
- Total: 4,835
- BibTeX: 87
- EndNote: 90
Total article views: 3,673 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jul 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,839 | 768 | 66 | 3,673 | 73 | 76 |
- HTML: 2,839
- PDF: 768
- XML: 66
- Total: 3,673
- BibTeX: 73
- EndNote: 76
Total article views: 1,162 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 714 | 424 | 24 | 1,162 | 14 | 14 |
- HTML: 714
- PDF: 424
- XML: 24
- Total: 1,162
- BibTeX: 14
- EndNote: 14
Viewed (geographical distribution)
Total article views: 4,835 (including HTML, PDF, and XML)
Thereof 4,629 with geography defined
and 206 with unknown origin.
Total article views: 3,673 (including HTML, PDF, and XML)
Thereof 3,554 with geography defined
and 119 with unknown origin.
Total article views: 1,162 (including HTML, PDF, and XML)
Thereof 1,075 with geography defined
and 87 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- Future changes and distribution of water resources in China under global warming levels of 1.5–4.5 °C X. Zhu et al. 10.1016/j.ejrh.2024.101781
- Optimisation of AquaCrop backscatter simulations using Sentinel-1 observations S. de Roos et al. 10.1016/j.rse.2023.113621
- Water-suitable reclamation can mitigate the amplified agricultural water stress driven by climate change in arid inland basin M. Zou et al. 10.1016/j.jhydrol.2024.131736
- Using machine learning techniques to evaluate the impact of future climate change on wheat yields in Xinjiang, China X. Gao et al. 10.1016/j.agwat.2025.109646
- Assessment of the impact of irrigation management on soybean yield and water productivity in a subhumid environment A. Morales-Santos et al. 10.1016/j.agwat.2023.108356
- Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP S. Modanesi et al. 10.5194/hess-26-4685-2022
- Assessing the impacts of shifting planting dates on crop yields and irrigation demand under warming scenarios in Alberta, Canada Q. Zhao et al. 10.1016/j.agwat.2025.109304
- Evaluating the Impacts of Climate Change on Agricultural Water Availability and Adaptation Options in the Kagera Sub-Basin, Tanzania N. Tibangayuka et al. 10.1007/s41101-025-00405-9
- Optimal model-based temperature inputs for global soil moisture and vegetation optical depth retrievals from SMAP Y. Xiao et al. 10.1016/j.rse.2024.114240
- Irrigation Timing Retrieval at the Plot Scale Using Surface Soil Moisture Derived from Sentinel Time Series in Europe M. Le Page et al. 10.3390/rs15051449
- Climate change and agronomic management: Addressing wheat yield gaps and sustainability challenges in the Mediterranean and MENA regions D. Tita et al. 10.1016/j.agsy.2024.104242
- Impact of agricultural technological innovation on total-factor agricultural water usage efficiency: Evidence from 31 Chinese Provinces W. Shah et al. 10.1016/j.agwat.2024.108905
- Modeling the Effect of Soil Type Change on Irrigation Water Requirements of Sunflower and Wheat Using CROPWAT 8.0 H. Deveci et al. 10.3390/w17101437
- Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model O. Mialyk et al. 10.1038/s41597-024-03051-3
- IWRAM: A hybrid model for irrigation water demand forecasting to quantify the impacts of climate change C. Dang et al. 10.1016/j.agwat.2023.108643
- Generating high-precision farmland irrigation pattern maps using remotely sensed ecological indices and machine learning algorithms Y. Liu et al. 10.1016/j.agwat.2025.109302
- The proliferation of tiny irrigation tanks observed by remote sensing is in phase with groundwater depletion in Morocco. M. Le Page et al. 10.1016/j.gsd.2025.101495
- Net irrigation requirement under different climate scenarios using AquaCrop over Europe L. Busschaert et al. 10.5194/hess-26-3731-2022
17 citations as recorded by crossref.
- Future changes and distribution of water resources in China under global warming levels of 1.5–4.5 °C X. Zhu et al. 10.1016/j.ejrh.2024.101781
- Optimisation of AquaCrop backscatter simulations using Sentinel-1 observations S. de Roos et al. 10.1016/j.rse.2023.113621
- Water-suitable reclamation can mitigate the amplified agricultural water stress driven by climate change in arid inland basin M. Zou et al. 10.1016/j.jhydrol.2024.131736
- Using machine learning techniques to evaluate the impact of future climate change on wheat yields in Xinjiang, China X. Gao et al. 10.1016/j.agwat.2025.109646
- Assessment of the impact of irrigation management on soybean yield and water productivity in a subhumid environment A. Morales-Santos et al. 10.1016/j.agwat.2023.108356
- Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP S. Modanesi et al. 10.5194/hess-26-4685-2022
- Assessing the impacts of shifting planting dates on crop yields and irrigation demand under warming scenarios in Alberta, Canada Q. Zhao et al. 10.1016/j.agwat.2025.109304
- Evaluating the Impacts of Climate Change on Agricultural Water Availability and Adaptation Options in the Kagera Sub-Basin, Tanzania N. Tibangayuka et al. 10.1007/s41101-025-00405-9
- Optimal model-based temperature inputs for global soil moisture and vegetation optical depth retrievals from SMAP Y. Xiao et al. 10.1016/j.rse.2024.114240
- Irrigation Timing Retrieval at the Plot Scale Using Surface Soil Moisture Derived from Sentinel Time Series in Europe M. Le Page et al. 10.3390/rs15051449
- Climate change and agronomic management: Addressing wheat yield gaps and sustainability challenges in the Mediterranean and MENA regions D. Tita et al. 10.1016/j.agsy.2024.104242
- Impact of agricultural technological innovation on total-factor agricultural water usage efficiency: Evidence from 31 Chinese Provinces W. Shah et al. 10.1016/j.agwat.2024.108905
- Modeling the Effect of Soil Type Change on Irrigation Water Requirements of Sunflower and Wheat Using CROPWAT 8.0 H. Deveci et al. 10.3390/w17101437
- Water footprints and crop water use of 175 individual crops for 1990–2019 simulated with a global crop model O. Mialyk et al. 10.1038/s41597-024-03051-3
- IWRAM: A hybrid model for irrigation water demand forecasting to quantify the impacts of climate change C. Dang et al. 10.1016/j.agwat.2023.108643
- Generating high-precision farmland irrigation pattern maps using remotely sensed ecological indices and machine learning algorithms Y. Liu et al. 10.1016/j.agwat.2025.109302
- The proliferation of tiny irrigation tanks observed by remote sensing is in phase with groundwater depletion in Morocco. M. Le Page et al. 10.1016/j.gsd.2025.101495
1 citations as recorded by crossref.
Latest update: 08 Aug 2025
Short summary
Increasing amounts of water are used for agriculture. Therefore, we looked into how irrigation requirements will evolve under a changing climate over Europe. Our results show that, by the end of the century and under high emissions, irrigation water will increase by 30 % on average compared to the year 2000. Also, the irrigation requirement is likely to vary more from 1 year to another. However, if emissions are mitigated, these effects are reduced.
Increasing amounts of water are used for agriculture. Therefore, we looked into how irrigation...
