Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2953-2017
© 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-21-2953-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Jun 2017
Research article |
| 16 Jun 2017
Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets
Patricia M. Lawston
CORRESPONDING AUTHOR
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, MD 20740, USA
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Joseph A. Santanello Jr.
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Trenton E. Franz
School of Natural Resources, University of Nebraska-Lincoln, Lincoln,
NE 68583, USA
Matthew Rodell
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
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- Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication G. De Lannoy et al. 10.3389/frwa.2022.981745
- Investigation into sustainable water use in India using combined large-scale earth system-based modelling and census-based statistical data N. Joseph et al. 10.1016/j.jhydrol.2020.124930
- Evaluation and comparison of multiple evapotranspiration data models over the contiguous United States: Implications for the next phase of NLDAS (NLDAS-Testbed) development B. Zhang et al. 10.1016/j.agrformet.2019.107810
- Evaluation of water use efficiency and optimal irrigation quantity of spring maize in Hetao Irrigation District using the Noah-MP Land Surface Model Y. Huang et al. 10.1016/j.agwat.2022.107498
- Detecting global irrigated areas by using satellite and reanalysis products M. Zohaib et al. 10.1016/j.scitotenv.2019.04.365
- Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation J. Dong et al. 10.1016/j.rse.2020.111756
- Leveraging Soil Moisture Assimilation in Permafrost Affected Regions A. Pradhan et al. 10.3390/rs15061532
- Estimating Soil Evaporation Using Drying Rates Determined from Satellite-Based Soil Moisture Records E. Small et al. 10.3390/rs10121945
- Groundwater Withdrawals Under Drought: Reconciling GRACE and Land Surface Models in the United States High Plains Aquifer W. Nie et al. 10.1029/2017WR022178
- Integrating partitioned evapotranspiration data into hydrologic models: Vegetation parameterization and uncertainty quantification of simulated plant water use A. Schreiner‐McGraw et al. 10.1002/hyp.14580
- Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data T. Xu et al. 10.3390/rs11030370
- Intercomparison on Four Irrigated Cropland Maps in Mainland China Y. Liu et al. 10.3390/s18041197
- Transboundary Nile basin dynamics: Land use change, drivers, and hydrological impacts under socioeconomic pathways A. Omer et al. 10.1016/j.ecolind.2023.110414
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- Classification of Different Irrigation Systems at Field Scale Using Time-Series of Remote Sensing Data G. Paolini et al. 10.1109/JSTARS.2022.3222884
- Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model F. Felfelani et al. 10.1029/2018GL080870
- Lessons Learned From Modeling Irrigation From Field to Regional Scales X. Xu et al. 10.1029/2018MS001595
- Mapping three decades of annual irrigation across the US High Plains Aquifer using Landsat and Google Earth Engine J. Deines et al. 10.1016/j.rse.2019.111400
- Assessing the Impact of Soil Layer Depth Specification on the Observability of Modeled Soil Moisture and Brightness Temperature P. Shellito et al. 10.1175/JHM-D-19-0280.1
- Assessing implications of irrigation scheme in NASA-Land Information System Framework on land surface fluxes in Punjab, India S. Sharma et al. 10.1080/10106049.2021.1970244
- Irrigation Signals Detected From SMAP Soil Moisture Retrievals P. Lawston et al. 10.1002/2017GL075733
- Impacts of Irrigation on Summertime Temperatures in the Pacific Northwest P. Lawston et al. 10.1175/EI-D-19-0015.1
- Understanding the spatial patterns of evapotranspiration estimates from land surface models over China R. Sun et al. 10.1016/j.jhydrol.2021.126021
- A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions G. Singh & N. Das 10.1016/j.scitotenv.2022.155893
- Evapotranspiration Reconstruction Based on Land Surface Models and Observed Water Budget Components While Considering Irrigation M. Lv et al. 10.1175/JHM-D-19-0090.1
- Irrigation in the Earth system S. McDermid et al. 10.1038/s43017-023-00438-5
- Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product? E. Jalilvand et al. 10.1029/2022WR033342
- Investigating the response of land–atmosphere interactions and feedbacks to spatial representation of irrigation in a coupled modeling framework P. Lawston-Parker et al. 10.5194/hess-27-2787-2023
- Impacts of Wetland Reclamation and Paddy Field Expansion on Observed Local Temperature Trends in the Sanjiang Plain of China T. Liu et al. 10.1029/2018JF004846
29 citations as recorded by crossref.
- Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications T. Franz et al. 10.3389/frwa.2020.00009
- Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication G. De Lannoy et al. 10.3389/frwa.2022.981745
- Investigation into sustainable water use in India using combined large-scale earth system-based modelling and census-based statistical data N. Joseph et al. 10.1016/j.jhydrol.2020.124930
- Evaluation and comparison of multiple evapotranspiration data models over the contiguous United States: Implications for the next phase of NLDAS (NLDAS-Testbed) development B. Zhang et al. 10.1016/j.agrformet.2019.107810
- Evaluation of water use efficiency and optimal irrigation quantity of spring maize in Hetao Irrigation District using the Noah-MP Land Surface Model Y. Huang et al. 10.1016/j.agwat.2022.107498
- Detecting global irrigated areas by using satellite and reanalysis products M. Zohaib et al. 10.1016/j.scitotenv.2019.04.365
- Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation J. Dong et al. 10.1016/j.rse.2020.111756
- Leveraging Soil Moisture Assimilation in Permafrost Affected Regions A. Pradhan et al. 10.3390/rs15061532
- Estimating Soil Evaporation Using Drying Rates Determined from Satellite-Based Soil Moisture Records E. Small et al. 10.3390/rs10121945
- Groundwater Withdrawals Under Drought: Reconciling GRACE and Land Surface Models in the United States High Plains Aquifer W. Nie et al. 10.1029/2017WR022178
- Integrating partitioned evapotranspiration data into hydrologic models: Vegetation parameterization and uncertainty quantification of simulated plant water use A. Schreiner‐McGraw et al. 10.1002/hyp.14580
- Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data T. Xu et al. 10.3390/rs11030370
- Intercomparison on Four Irrigated Cropland Maps in Mainland China Y. Liu et al. 10.3390/s18041197
- Transboundary Nile basin dynamics: Land use change, drivers, and hydrological impacts under socioeconomic pathways A. Omer et al. 10.1016/j.ecolind.2023.110414
- Improving Land-Surface Model Simulations in Irrigated Areas by Incorporating Soil Moisture–Based Irrigation Estimates in Community Land Model M. Zohaib et al. 10.1061/(ASCE)IR.1943-4774.0001716
- Classification of Different Irrigation Systems at Field Scale Using Time-Series of Remote Sensing Data G. Paolini et al. 10.1109/JSTARS.2022.3222884
- Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model F. Felfelani et al. 10.1029/2018GL080870
- Lessons Learned From Modeling Irrigation From Field to Regional Scales X. Xu et al. 10.1029/2018MS001595
- Mapping three decades of annual irrigation across the US High Plains Aquifer using Landsat and Google Earth Engine J. Deines et al. 10.1016/j.rse.2019.111400
- Assessing the Impact of Soil Layer Depth Specification on the Observability of Modeled Soil Moisture and Brightness Temperature P. Shellito et al. 10.1175/JHM-D-19-0280.1
- Assessing implications of irrigation scheme in NASA-Land Information System Framework on land surface fluxes in Punjab, India S. Sharma et al. 10.1080/10106049.2021.1970244
- Irrigation Signals Detected From SMAP Soil Moisture Retrievals P. Lawston et al. 10.1002/2017GL075733
- Impacts of Irrigation on Summertime Temperatures in the Pacific Northwest P. Lawston et al. 10.1175/EI-D-19-0015.1
- Understanding the spatial patterns of evapotranspiration estimates from land surface models over China R. Sun et al. 10.1016/j.jhydrol.2021.126021
- A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions G. Singh & N. Das 10.1016/j.scitotenv.2022.155893
- Evapotranspiration Reconstruction Based on Land Surface Models and Observed Water Budget Components While Considering Irrigation M. Lv et al. 10.1175/JHM-D-19-0090.1
- Irrigation in the Earth system S. McDermid et al. 10.1038/s43017-023-00438-5
- Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product? E. Jalilvand et al. 10.1029/2022WR033342
- Investigating the response of land–atmosphere interactions and feedbacks to spatial representation of irrigation in a coupled modeling framework P. Lawston-Parker et al. 10.5194/hess-27-2787-2023
Latest update: 18 Apr 2024
Short summary
Irrigation can affect the weather by making the air cooler and more humid, potentially causing changes to clouds and rainfall. This study uses new datasets to test how well irrigation is simulated in a model. We find the model applies more water than farmers' data show, but the water is applied at the right time in the growing season and improves the modeled wetness of the soil. These results will help improve irrigation modeling and thus understanding of human impacts on the water cycle.
Irrigation can affect the weather by making the air cooler and more humid, potentially causing...
