Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1263-2017
© 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-21-1263-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Mar 2017
Research article |
| 02 Mar 2017
Feasibility analysis of using inverse modeling for estimating field-scale evapotranspiration in maize and soybean fields from soil water content monitoring networks
Foad Foolad
Civil Engineering Department, University of Nebraska, Lincoln, NE, USA
School of Natural Resources, University of Nebraska, Lincoln, NE, USA
Tiejun Wang
School of Natural Resources, University of Nebraska, Lincoln, NE, USA
Institute of Surface-Earth System Science, Tianjin University, Tianjin, People's Republic of China
Justin Gibson
School of Natural Resources, University of Nebraska, Lincoln, NE, USA
Ayse Kilic
Civil Engineering Department, University of Nebraska, Lincoln, NE, USA
School of Natural Resources, University of Nebraska, Lincoln, NE, USA
Richard G. Allen
Kimberly Research and Extension Center, University of Idaho, Kimberly, ID, USA
Andrew Suyker
School of Natural Resources, University of Nebraska, Lincoln, NE, USA
Viewed
Total article views: 2,977 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Aug 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,764 | 1,069 | 144 | 2,977 | 432 | 102 | 117 |
- HTML: 1,764
- PDF: 1,069
- XML: 144
- Total: 2,977
- Supplement: 432
- BibTeX: 102
- EndNote: 117
Total article views: 2,394 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,519 | 756 | 119 | 2,394 | 281 | 81 | 96 |
- HTML: 1,519
- PDF: 756
- XML: 119
- Total: 2,394
- Supplement: 281
- BibTeX: 81
- EndNote: 96
Total article views: 583 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Aug 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 245 | 313 | 25 | 583 | 151 | 21 | 21 |
- HTML: 245
- PDF: 313
- XML: 25
- Total: 583
- Supplement: 151
- BibTeX: 21
- EndNote: 21
Viewed (geographical distribution)
Total article views: 2,977 (including HTML, PDF, and XML)
Thereof 2,885 with geography defined
and 92 with unknown origin.
Total article views: 2,394 (including HTML, PDF, and XML)
Thereof 2,310 with geography defined
and 84 with unknown origin.
Total article views: 583 (including HTML, PDF, and XML)
Thereof 575 with geography defined
and 8 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
20 citations as recorded by crossref.
- Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2020.124878
- Interplays between State and Flux Hydrological Variables across Vadose Zones: A Numerical Investigation Z. Wang et al. 10.3390/w11061295
- Multi-variable assimilation into a modified AquaCrop model for improved maize simulation without management or crop phenology information Y. Lu et al. 10.1016/j.agwat.2022.107576
- Predictive Modeling of Corrosion in Al/Mg Dissimilar Joint S. Ahmadvand et al. 10.3390/chemengineering3030070
- Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2021.126659
- Sustainable aquifer management for food security B. Funk et al. 10.1016/j.agwat.2022.108073
- Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. 10.1016/j.jhydrol.2018.07.053
- Employing NDVI as vegetation correction variable to improve soil moisture measurements of mobile cosmic-ray neutron sensor near the Qilian Mountains S. Wu et al. 10.1016/j.geoderma.2023.116764
- Impacts of Future Climate Variability on Atrazine Accumulation and Transport in Corn Production Areas in the Midwestern United States C. Liu et al. 10.1021/acs.est.2c00029
- Evaluation of variable rate irrigation using a remote-sensing-based model J. Barker et al. 10.1016/j.agwat.2018.02.022
- Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance E. Wang et al. 10.1016/j.agwat.2018.04.017
- Mesoscale soil moisture survey by mobile cosmic-ray neutron sensor across various landscapes in the Heihe River Basin S. Wu et al. 10.1016/j.rcar.2024.01.001
- A hybrid approach combining the FAO-56 method and the complementary principle for predicting daily evapotranspiration on a rainfed crop field D. Kim et al. 10.1016/j.jhydrol.2019.123941
- Distinct Contributions of Climate Change and Anthropogenic Activities to Evapotranspiration and Gross Primary Production Variations over Mainland China Y. Huang et al. 10.3390/rs16030475
- Prediction of nitrate accumulation and leaching beneath groundwater irrigated corn fields in the Upper Platte basin under a future climate scenario S. Akbariyeh et al. 10.1016/j.scitotenv.2019.05.417
- Vegetation restoration dominated the variation of water use efficiency in China Y. Xue et al. 10.1016/j.jhydrol.2022.128257
- Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model Y. Lu et al. 10.1016/j.agwat.2021.106884
- Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments Y. Lu et al. 10.1016/j.fcr.2021.108182
- Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. 10.2136/vzj2017.04.0086
- Looking Beyond Energy Efficiency: An Applied Review of Water Desalination Technologies and an Introduction to Capillary-Driven Desalination S. Ahmadvand et al. 10.3390/w11040696
20 citations as recorded by crossref.
- Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2020.124878
- Interplays between State and Flux Hydrological Variables across Vadose Zones: A Numerical Investigation Z. Wang et al. 10.3390/w11061295
- Multi-variable assimilation into a modified AquaCrop model for improved maize simulation without management or crop phenology information Y. Lu et al. 10.1016/j.agwat.2022.107576
- Predictive Modeling of Corrosion in Al/Mg Dissimilar Joint S. Ahmadvand et al. 10.3390/chemengineering3030070
- Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. 10.1016/j.jhydrol.2021.126659
- Sustainable aquifer management for food security B. Funk et al. 10.1016/j.agwat.2022.108073
- Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. 10.1016/j.jhydrol.2018.07.053
- Employing NDVI as vegetation correction variable to improve soil moisture measurements of mobile cosmic-ray neutron sensor near the Qilian Mountains S. Wu et al. 10.1016/j.geoderma.2023.116764
- Impacts of Future Climate Variability on Atrazine Accumulation and Transport in Corn Production Areas in the Midwestern United States C. Liu et al. 10.1021/acs.est.2c00029
- Evaluation of variable rate irrigation using a remote-sensing-based model J. Barker et al. 10.1016/j.agwat.2018.02.022
- Making sense of cosmic-ray soil moisture measurements and eddy covariance data with regard to crop water use and field water balance E. Wang et al. 10.1016/j.agwat.2018.04.017
- Mesoscale soil moisture survey by mobile cosmic-ray neutron sensor across various landscapes in the Heihe River Basin S. Wu et al. 10.1016/j.rcar.2024.01.001
- A hybrid approach combining the FAO-56 method and the complementary principle for predicting daily evapotranspiration on a rainfed crop field D. Kim et al. 10.1016/j.jhydrol.2019.123941
- Distinct Contributions of Climate Change and Anthropogenic Activities to Evapotranspiration and Gross Primary Production Variations over Mainland China Y. Huang et al. 10.3390/rs16030475
- Prediction of nitrate accumulation and leaching beneath groundwater irrigated corn fields in the Upper Platte basin under a future climate scenario S. Akbariyeh et al. 10.1016/j.scitotenv.2019.05.417
- Vegetation restoration dominated the variation of water use efficiency in China Y. Xue et al. 10.1016/j.jhydrol.2022.128257
- Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model Y. Lu et al. 10.1016/j.agwat.2021.106884
- Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments Y. Lu et al. 10.1016/j.fcr.2021.108182
- Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. 10.2136/vzj2017.04.0086
- Looking Beyond Energy Efficiency: An Applied Review of Water Desalination Technologies and an Introduction to Capillary-Driven Desalination S. Ahmadvand et al. 10.3390/w11040696
Latest update: 20 Nov 2024
Short summary
Estimates of evapotranspiration are vital for validation of models. However, those datasets are often limited to research applications. Here, we explore using vadose zone modeling with widespread and readily available soil water content monitoring networks. While this work focused on one agricultural site, the framework can be used everywhere there is basic data. The resulting evapotranspiration and soil water content measurements are valuable benchmarks for evaluation of land surface models.
Estimates of evapotranspiration are vital for validation of models. However, those datasets are...
