Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central Kentucky
The use of remotely sensed evapotranspiration (ET) for field applications in drought monitoring and assessment is gaining momentum, but meeting this need has been hampered by the absence of extensive ground-based measurement stations for ground validation across agricultural zones and natural landsc...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2020/1386468 |
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| author | Maheteme Gebremedhin Ian Ries Gabriel B. Senay Martin Matisoff Ibukun Amusan Jeremy Sandifer Buddhi Gyawali |
| author_facet | Maheteme Gebremedhin Ian Ries Gabriel B. Senay Martin Matisoff Ibukun Amusan Jeremy Sandifer Buddhi Gyawali |
| author_sort | Maheteme Gebremedhin |
| collection | DOAJ |
| description | The use of remotely sensed evapotranspiration (ET) for field applications in drought monitoring and assessment is gaining momentum, but meeting this need has been hampered by the absence of extensive ground-based measurement stations for ground validation across agricultural zones and natural landscapes. This is particularly crucial for regions more prone to recurring droughts with limited ground monitoring stations. A three-year (2016–2018) flux ET dataset from a pastureland in north central Kentucky was used to validate the Operational Simplified Surface Energy Balance (SSEBop) model at monthly and annual scales. Flux and SSEBop ET track each other in a consistent manner in response to seasonal changes. The mean bias error (MBE), root mean squared error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2) were 5.47, 21.49 mm mon−1, 30.94%, and 0.87, respectively. The model consistently underestimated ET values during winter months and overestimated them during summer months. SSEBop’s monthly ET anomaly maps show spatial ET distribution and its accurate representation. This is particularly important in areas where detailed surface meteorological and hydrological data are limited. Overall, the model estimated monthly ET magnitude satisfactorily and captured it seasonally. The SSEBop’s functionality for remote ET estimation and anomaly detection, if properly coupled with ground measurements, can significantly enhance SSEBop’s ability to monitor drought occurrence and prevalence quickly and accurately. |
| format | Article |
| id | doaj-art-b539ed7f305745eba35d1dbcd498a44f |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
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| series | Advances in Meteorology |
| spelling | doaj-art-b539ed7f305745eba35d1dbcd498a44f2025-02-03T01:01:54ZengWileyAdvances in Meteorology1687-93091687-93172020-01-01202010.1155/2020/13864681386468Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central KentuckyMaheteme Gebremedhin0Ian Ries1Gabriel B. Senay2Martin Matisoff3Ibukun Amusan4Jeremy Sandifer5Buddhi Gyawali6College of Agriculture, Communities, and the Environment, Kentucky State University, 400 East Main Street, Frankfort, KY 40601, USACollege of Agriculture, Communities, and the Environment, Kentucky State University, 400 East Main Street, Frankfort, KY 40601, USAUnited States Geological Survey, Earth Resources Observation and Science Center, North Central Climate Adaptation Science Center, Boulder, CO 80303, USACollege of Agriculture, Communities, and the Environment, Kentucky State University, 400 East Main Street, Frankfort, KY 40601, USACollege of Business and Computational Sciences, Kentucky State University, 400 East Main Street, Frankfort, KY 40601, USACollege of Agriculture, Communities, and the Environment, Kentucky State University, 400 East Main Street, Frankfort, KY 40601, USACollege of Agriculture, Communities, and the Environment, Kentucky State University, 400 East Main Street, Frankfort, KY 40601, USAThe use of remotely sensed evapotranspiration (ET) for field applications in drought monitoring and assessment is gaining momentum, but meeting this need has been hampered by the absence of extensive ground-based measurement stations for ground validation across agricultural zones and natural landscapes. This is particularly crucial for regions more prone to recurring droughts with limited ground monitoring stations. A three-year (2016–2018) flux ET dataset from a pastureland in north central Kentucky was used to validate the Operational Simplified Surface Energy Balance (SSEBop) model at monthly and annual scales. Flux and SSEBop ET track each other in a consistent manner in response to seasonal changes. The mean bias error (MBE), root mean squared error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2) were 5.47, 21.49 mm mon−1, 30.94%, and 0.87, respectively. The model consistently underestimated ET values during winter months and overestimated them during summer months. SSEBop’s monthly ET anomaly maps show spatial ET distribution and its accurate representation. This is particularly important in areas where detailed surface meteorological and hydrological data are limited. Overall, the model estimated monthly ET magnitude satisfactorily and captured it seasonally. The SSEBop’s functionality for remote ET estimation and anomaly detection, if properly coupled with ground measurements, can significantly enhance SSEBop’s ability to monitor drought occurrence and prevalence quickly and accurately.http://dx.doi.org/10.1155/2020/1386468 |
| spellingShingle | Maheteme Gebremedhin Ian Ries Gabriel B. Senay Martin Matisoff Ibukun Amusan Jeremy Sandifer Buddhi Gyawali Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central Kentucky Advances in Meteorology |
| title | Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central Kentucky |
| title_full | Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central Kentucky |
| title_fullStr | Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central Kentucky |
| title_full_unstemmed | Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central Kentucky |
| title_short | Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central Kentucky |
| title_sort | evaluation of the operational simplified surface energy balance model for pastureland evapotranspiration mapping and drought monitoring in north central kentucky |
| url | http://dx.doi.org/10.1155/2020/1386468 |
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