Articles | Volume 8, issue 4
https://doi.org/10.5194/gmd-8-1233-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1233-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
29 Apr 2015
Methods for assessment of models |
| 29 Apr 2015
Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging
S. Multsch
CORRESPONDING AUTHOR
Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus Liebig University Giessen, Heinrich-Buff-Ring 26, 35390 Giessen, Germany
J.-F. Exbrayat
School of GeoSciences and National Centre for Earth Observation, University of Edinburgh, Edinburgh, UK
Climate Change Research Centre and ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, New South Wales, Australia
M. Kirby
CSIRO Land and Water, GPO Box 1666, Canberra, ACT 2601, Australia
N. R. Viney
CSIRO Land and Water, GPO Box 1666, Canberra, ACT 2601, Australia
H.-G. Frede
Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus Liebig University Giessen, Heinrich-Buff-Ring 26, 35390 Giessen, Germany
L. Breuer
Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (IFZ), Justus Liebig University Giessen, Heinrich-Buff-Ring 26, 35390 Giessen, Germany
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Cited
18 citations as recorded by crossref.
- Modelling the potential of rainwater harvesting to improve the sustainability of landscape and public garden irrigation H. Jacque et al. 10.1016/j.jenvman.2023.119167
- Investigating the impact of climate change on irrigation and crop water requirements of Bhadra and Tungabhadra command area: A CMIP-6 GCMs and CROPWAT 8.0 approach G. Rudraswamy & N. Umamahesh 10.2166/ws.2024.022
- Quantifying differences in water and carbon cycling between paddy and rainfed rice (Oryza sativa L.) by flux partitioning B. Nay‐Htoon et al. 10.1371/journal.pone.0195238
- Evaluation of Eleven Reference Evapotranspiration Models in Semiarid Conditions K. Djaman et al. 10.4236/jwarp.2017.912094
- An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data N. Bhattarai et al. 10.1016/j.rse.2019.04.026
- An automated machine learning methodology for the improved prediction of reference evapotranspiration using minimal input parameters S. Mangalath Ravindran et al. 10.1002/hyp.14571
- Effect of Water Deficit on Yield, Quality and Water Productivity of Sugarcane H. Elbasheir et al. 10.3923/tasr.2024.93.103
- Water Resources Management Strategies for Irrigated Agriculture in the Indus Basin of Pakistan M. Muzammil et al. 10.3390/w12051429
- A hotspot analysis of water footprints and groundwater decline in the High Plains aquifer region, USA S. Multsch et al. 10.1007/s10113-016-0968-5
- A practical planning software program for desalination in agriculture - SPARE:WATERopt S. Multsch et al. 10.1016/j.desal.2016.11.012
- Improving irrigation efficiency will be insufficient to meet future water demand in the Nile Basin S. Multsch et al. 10.1016/j.ejrh.2017.04.007
- A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models N. Bhattarai et al. 10.1016/j.rse.2017.05.009
- Risk assessment of agricultural water requirement based on a multi-model ensemble framework, southwest of Iran R. Zamani et al. 10.1007/s00704-016-1835-5
- As simple as possible but not simpler?: the case of irrigation modeling at catchment scale in southwestern France M. Soutif-Bellenger et al. 10.1007/s00271-023-00846-x
- Identifying a robust method to build RCMs ensemble as climate forcing for hydrological impact models P. Olmos Giménez et al. 10.1016/j.atmosres.2016.01.012
- Weighting climate models for hydrological projections: effects on contrasting hydroclimatic regions M. Castaneda-Gonzalez et al. 10.1007/s10584-023-03643-9
- Supporting decision-making in agricultural water management under data scarcity using global datasets – chances, limits and potential improvements B. Kayatz et al. 10.1016/j.agwat.2024.108803
- High resolution WRF ensemble forecasting for irrigation: Multi-variable evaluation I. Kioutsioukis et al. 10.1016/j.atmosres.2015.07.015
18 citations as recorded by crossref.
- Modelling the potential of rainwater harvesting to improve the sustainability of landscape and public garden irrigation H. Jacque et al. 10.1016/j.jenvman.2023.119167
- Investigating the impact of climate change on irrigation and crop water requirements of Bhadra and Tungabhadra command area: A CMIP-6 GCMs and CROPWAT 8.0 approach G. Rudraswamy & N. Umamahesh 10.2166/ws.2024.022
- Quantifying differences in water and carbon cycling between paddy and rainfed rice (Oryza sativa L.) by flux partitioning B. Nay‐Htoon et al. 10.1371/journal.pone.0195238
- Evaluation of Eleven Reference Evapotranspiration Models in Semiarid Conditions K. Djaman et al. 10.4236/jwarp.2017.912094
- An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data N. Bhattarai et al. 10.1016/j.rse.2019.04.026
- An automated machine learning methodology for the improved prediction of reference evapotranspiration using minimal input parameters S. Mangalath Ravindran et al. 10.1002/hyp.14571
- Effect of Water Deficit on Yield, Quality and Water Productivity of Sugarcane H. Elbasheir et al. 10.3923/tasr.2024.93.103
- Water Resources Management Strategies for Irrigated Agriculture in the Indus Basin of Pakistan M. Muzammil et al. 10.3390/w12051429
- A hotspot analysis of water footprints and groundwater decline in the High Plains aquifer region, USA S. Multsch et al. 10.1007/s10113-016-0968-5
- A practical planning software program for desalination in agriculture - SPARE:WATERopt S. Multsch et al. 10.1016/j.desal.2016.11.012
- Improving irrigation efficiency will be insufficient to meet future water demand in the Nile Basin S. Multsch et al. 10.1016/j.ejrh.2017.04.007
- A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models N. Bhattarai et al. 10.1016/j.rse.2017.05.009
- Risk assessment of agricultural water requirement based on a multi-model ensemble framework, southwest of Iran R. Zamani et al. 10.1007/s00704-016-1835-5
- As simple as possible but not simpler?: the case of irrigation modeling at catchment scale in southwestern France M. Soutif-Bellenger et al. 10.1007/s00271-023-00846-x
- Identifying a robust method to build RCMs ensemble as climate forcing for hydrological impact models P. Olmos Giménez et al. 10.1016/j.atmosres.2016.01.012
- Weighting climate models for hydrological projections: effects on contrasting hydroclimatic regions M. Castaneda-Gonzalez et al. 10.1007/s10584-023-03643-9
- Supporting decision-making in agricultural water management under data scarcity using global datasets – chances, limits and potential improvements B. Kayatz et al. 10.1016/j.agwat.2024.108803
- High resolution WRF ensemble forecasting for irrigation: Multi-variable evaluation I. Kioutsioukis et al. 10.1016/j.atmosres.2015.07.015
Saved (final revised paper)
Latest update: 23 Nov 2024
Short summary
Irrigation agriculture is required to sustain yields that allow feeding the world population. A robust assessment of irrigation requirement (IRR) relies on a sound quantification of evapotranspiration (ET). We prepared a multi-model ensemble considering several ET methods and investigate uncertainties in simulating IRR. More generally, we provide an example of the value of investigating the uncertainty in models that may be used to inform policy-making and to elaborate best management practices.
Irrigation agriculture is required to sustain yields that allow feeding the world population. A...
