Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1051-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-1051-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Feb 2017
Research article |
| 20 Feb 2017
A case study of field-scale maize irrigation patterns in western Nebraska: implications for water managers and recommendations for hyper-resolution land surface modeling
Justin Gibson
CORRESPONDING AUTHOR
School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA
School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA
Tiejun Wang
School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, USA
Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, P. R. China
John Gates
The Climate Corporation, San Francisco, CA, USA
Patricio Grassini
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA
Haishun Yang
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA
Dean Eisenhauer
Biological Systems Engineering Department, University of Nebraska-Lincoln, Lincoln, NE, USA
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Cited
16 citations as recorded by crossref.
- Revisiting the definition of field capacity as a functional parameter in a layered agronomic soil profile beneath irrigated maize P. Nasta et al. 10.1016/j.agwat.2023.108368
- On the value of satellite remote sensing to reduce uncertainties of regional simulations of the Colorado River M. Xiao et al. 10.5194/hess-26-5627-2022
- Calibration and Multiple-Parameter Optimization of the Hybrid-Maize Model for Improve Simulation of Soil Moisture and Grain Yield in Farmer's Fields A. Amori et al. 10.2139/ssrn.4160739
- Benchmarking irrigation water use in producer fields in the US central Great Plains K. Gibson et al. 10.1088/1748-9326/ab17eb
- Hydrologic‐Economic Trade‐offs in Groundwater Allocation Policy Design R. Young et al. 10.1029/2020WR027941
- Strategies to Improve and Evaluate Physics‐Based Hyperresolution Hydrologic Simulations at Regional Basin Scales A. Ko et al. 10.1029/2018WR023521
- Assessing Different Plant‐Centric Water Stress Metrics for Irrigation Efficacy Using Soil‐Plant‐Atmosphere‐Continuum Simulation J. Zhang et al. 10.1029/2021WR030211
- Assessing landscape scale heterogeneity in irrigation water use with remote sensing andin situmonitoring T. Foster et al. 10.1088/1748-9326/aaf2be
- A Physically Based Atmospheric Variables Downscaling Technique T. Rouf et al. 10.1175/JHM-D-19-0109.1
- Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) A. Chakraborty et al. 10.1016/j.jhydrol.2024.131581
- Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy T. Foster et al. 10.1029/2020WR028378
- Groundwater Recharge Response to Reduced Irrigation Pumping: Checkbook Irrigation and the Water Savings Payment Plan J. Gibson et al. 10.3390/w16202910
- Improving crop modeling to better simulate maize yield variability under different irrigation managements O. Abimbola et al. 10.1016/j.agwat.2021.107429
- Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
- Calibration of Hybrid-Maize Model for Simulation of Soil Moisture and Yield in Production Corn Fields A. Amori et al. 10.3390/w16050788
- Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system Y. Kwon et al. 10.1088/1748-9326/ac7f49
16 citations as recorded by crossref.
- Revisiting the definition of field capacity as a functional parameter in a layered agronomic soil profile beneath irrigated maize P. Nasta et al. 10.1016/j.agwat.2023.108368
- On the value of satellite remote sensing to reduce uncertainties of regional simulations of the Colorado River M. Xiao et al. 10.5194/hess-26-5627-2022
- Calibration and Multiple-Parameter Optimization of the Hybrid-Maize Model for Improve Simulation of Soil Moisture and Grain Yield in Farmer's Fields A. Amori et al. 10.2139/ssrn.4160739
- Benchmarking irrigation water use in producer fields in the US central Great Plains K. Gibson et al. 10.1088/1748-9326/ab17eb
- Hydrologic‐Economic Trade‐offs in Groundwater Allocation Policy Design R. Young et al. 10.1029/2020WR027941
- Strategies to Improve and Evaluate Physics‐Based Hyperresolution Hydrologic Simulations at Regional Basin Scales A. Ko et al. 10.1029/2018WR023521
- Assessing Different Plant‐Centric Water Stress Metrics for Irrigation Efficacy Using Soil‐Plant‐Atmosphere‐Continuum Simulation J. Zhang et al. 10.1029/2021WR030211
- Assessing landscape scale heterogeneity in irrigation water use with remote sensing andin situmonitoring T. Foster et al. 10.1088/1748-9326/aaf2be
- A Physically Based Atmospheric Variables Downscaling Technique T. Rouf et al. 10.1175/JHM-D-19-0109.1
- Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) A. Chakraborty et al. 10.1016/j.jhydrol.2024.131581
- Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy T. Foster et al. 10.1029/2020WR028378
- Groundwater Recharge Response to Reduced Irrigation Pumping: Checkbook Irrigation and the Water Savings Payment Plan J. Gibson et al. 10.3390/w16202910
- Improving crop modeling to better simulate maize yield variability under different irrigation managements O. Abimbola et al. 10.1016/j.agwat.2021.107429
- Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
- Calibration of Hybrid-Maize Model for Simulation of Soil Moisture and Yield in Production Corn Fields A. Amori et al. 10.3390/w16050788
- Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system Y. Kwon et al. 10.1088/1748-9326/ac7f49
Latest update: 20 Nov 2024
Short summary
The human use of water for irrigation is often ignored in models and operational forecasts. We describe four plausible and relatively simple irrigation routines that can be coupled to the next generation of models. The routines are tested against a unique irrigation dataset from western Nebraska. The most aggressive water-saving irrigation routine indicates a potential irrigation savings of 120 mm yr−1 and yield losses of less than 3 % against the crop model benchmark and historical averages.
The human use of water for irrigation is often ignored in models and operational forecasts. We...
