Single vs dual source surface energy balance model based actual evapotranspiration estimation
The current study aims to inter-compare the performance efficiency of the single and the dual source surface energy balance modeling approaches, namely EEFlux and SETMI, respectively for real time catchment scale - crop water demand estimations. For this, the afore-stated two surface energy balance...
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| Format: | Article |
| Language: | English |
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Action for Sustainable Efficacious Development and Awareness
2024-01-01
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| Series: | Environment Conservation Journal |
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| Online Access: | https://journal.environcj.in/index.php/ecj/article/view/2611 |
| _version_ | 1797261702401622016 |
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| author | Richa pandey Ravinder Kaur Ivo Zution GONCALVES Christopher Neale Manoj Khanna Man Singh Vinay Kumar Sehgal Arjamadutta Sarangi Manjaiah Kanchikeri Math |
| author_facet | Richa pandey Ravinder Kaur Ivo Zution GONCALVES Christopher Neale Manoj Khanna Man Singh Vinay Kumar Sehgal Arjamadutta Sarangi Manjaiah Kanchikeri Math |
| author_sort | Richa pandey |
| collection | DOAJ |
| description |
The current study aims to inter-compare the performance efficiency of the single and the dual source surface energy balance modeling approaches, namely EEFlux and SETMI, respectively for real time catchment scale - crop water demand estimations. For this, the afore-stated two surface energy balance modelling approaches were applied on the Narmada Canal Project, Sanchore, Rajasthan, India for estimating catchment scale actual evapotranspiration (ETa) values for the Rabi cropping seasons of the years 2013-14 and 2018-19, after incorporating the basic satellite data derived inputs viz. Land use, Land surface temperature and Gridded weather data. Due to the non-availability of the catchment scale ground based daily reference evapotranspiration (ETo) values for the study area, the Global Land Data Assimilation System based gridded meteorological data product was utilized, as a substitute for obtaining observed actual evapotranspiration (ETa) values for the investigated Rabi seasons of the study area. These actual evapotranspiration values were compared with those estimated through the single source, EEFlux and the dual source, SETMI modelling approaches to ascertain their comparative performance efficiency through the use of the five statistical indices viz. Mean Absolute Error, Root Mean Square Error, Mean Bias Error, Nash-Sutcliffe Efficiency and the Index of Agreement. The investigations revealed almost at par performance of the two modelling approaches. However, it was concluded that in contrast to the more detailed dual source approach i.e., SETMI, the simple single source approach i.e., EEFlux seemed to be more promising due to its user-friendly implementation and input data automation.
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| first_indexed | 2024-04-24T23:45:25Z |
| format | Article |
| id | doaj.art-41b5d0de311c4c11be7f44fd3012a4eb |
| institution | Directory Open Access Journal |
| issn | 0972-3099 2278-5124 |
| language | English |
| last_indexed | 2024-04-24T23:45:25Z |
| publishDate | 2024-01-01 |
| publisher | Action for Sustainable Efficacious Development and Awareness |
| record_format | Article |
| series | Environment Conservation Journal |
| spelling | doaj.art-41b5d0de311c4c11be7f44fd3012a4eb2024-03-15T06:18:54ZengAction for Sustainable Efficacious Development and AwarenessEnvironment Conservation Journal0972-30992278-51242024-01-0125110.36953/ECJ.27532611Single vs dual source surface energy balance model based actual evapotranspiration estimationRicha pandey0Ravinder Kaur1Ivo Zution GONCALVES2Christopher Neale3Manoj Khanna4Man Singh5Vinay Kumar Sehgal6Arjamadutta Sarangi7Manjaiah Kanchikeri Math8Water Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi, IndiaWater Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi, IndiaThe Daugherty Water for Food Global Institute, University of Nebraska, Lincoln, USAThe Daugherty Water for Food Global Institute, University of Nebraska, Lincoln, USAWater Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi, IndiaWater Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi, IndiaDivision of Agricultural Physics, ICAR-Indian Agricultural Research Institute, New Delhi -110 012, India.Water Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi, IndiaDivision of Soil Science and Agricultural Chemistry The current study aims to inter-compare the performance efficiency of the single and the dual source surface energy balance modeling approaches, namely EEFlux and SETMI, respectively for real time catchment scale - crop water demand estimations. For this, the afore-stated two surface energy balance modelling approaches were applied on the Narmada Canal Project, Sanchore, Rajasthan, India for estimating catchment scale actual evapotranspiration (ETa) values for the Rabi cropping seasons of the years 2013-14 and 2018-19, after incorporating the basic satellite data derived inputs viz. Land use, Land surface temperature and Gridded weather data. Due to the non-availability of the catchment scale ground based daily reference evapotranspiration (ETo) values for the study area, the Global Land Data Assimilation System based gridded meteorological data product was utilized, as a substitute for obtaining observed actual evapotranspiration (ETa) values for the investigated Rabi seasons of the study area. These actual evapotranspiration values were compared with those estimated through the single source, EEFlux and the dual source, SETMI modelling approaches to ascertain their comparative performance efficiency through the use of the five statistical indices viz. Mean Absolute Error, Root Mean Square Error, Mean Bias Error, Nash-Sutcliffe Efficiency and the Index of Agreement. The investigations revealed almost at par performance of the two modelling approaches. However, it was concluded that in contrast to the more detailed dual source approach i.e., SETMI, the simple single source approach i.e., EEFlux seemed to be more promising due to its user-friendly implementation and input data automation. https://journal.environcj.in/index.php/ecj/article/view/2611Canal water allocationCrop water demand mappingEnergy budgetingEvapotranspiration Flux Modeling |
| spellingShingle | Richa pandey Ravinder Kaur Ivo Zution GONCALVES Christopher Neale Manoj Khanna Man Singh Vinay Kumar Sehgal Arjamadutta Sarangi Manjaiah Kanchikeri Math Single vs dual source surface energy balance model based actual evapotranspiration estimation Environment Conservation Journal Canal water allocation Crop water demand mapping Energy budgeting Evapotranspiration Flux Modeling |
| title | Single vs dual source surface energy balance model based actual evapotranspiration estimation |
| title_full | Single vs dual source surface energy balance model based actual evapotranspiration estimation |
| title_fullStr | Single vs dual source surface energy balance model based actual evapotranspiration estimation |
| title_full_unstemmed | Single vs dual source surface energy balance model based actual evapotranspiration estimation |
| title_short | Single vs dual source surface energy balance model based actual evapotranspiration estimation |
| title_sort | single vs dual source surface energy balance model based actual evapotranspiration estimation |
| topic | Canal water allocation Crop water demand mapping Energy budgeting Evapotranspiration Flux Modeling |
| url | https://journal.environcj.in/index.php/ecj/article/view/2611 |
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