Comparison of Empirical Methods to Estimated Reference Evapotranspiration
Evapotranspiration plays an important role in agricultural water management and crop modelling. Estimating reference Evapotranspiration (ETo) using meteorological variables, both theoretical and empirical methods, is highly recommended considering the availability of weather data in several location...
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Fakultas Teknologi Pangan dan Agroindustri Universitas Mataram
2024-09-01
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| Series: | Jurnal Ilmiah Rekayasa Pertanian dan Biosistem |
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| Online Access: | https://jrpb.unram.ac.id/index.php/jrpb/article/view/629 |
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| author | Vivi Fitriani Cahyoadi Bowo Marga Mandala La Gandri |
| author_facet | Vivi Fitriani Cahyoadi Bowo Marga Mandala La Gandri |
| author_sort | Vivi Fitriani |
| collection | DOAJ |
| description | Evapotranspiration plays an important role in agricultural water management and crop modelling. Estimating reference Evapotranspiration (ETo) using meteorological variables, both theoretical and empirical methods, is highly recommended considering the availability of weather data in several locations. The estimation method recommended as the standard method is FAO Penman Monteith (FAOPM), but due to the limited meteorological data in a region and the difficulty and complexity of FAOPM, it is recommended to use the empirical method which is easier and only requires a few simple meteorological variables. The aim of this research is to compare and evaluated empirical methods for estimating ETo against the FAOPM. The statistical analysis using in this research are RSME, MAE, coefficient Correlation, NSE, Average bias, index of agreement, and confidence index (c). Evaluation for the best models based on statistic analyzed shows that several empirical methods show terrible performance in estimating the monthly average ETo (mm/day), which are Thornthwaite-Mather, Hargraves-Samani, Makkink, Hamon, Romaneko, and Kharauffa. Modified Blaney-Criddle method showed a good performance method, while PMAWS showed very good performance The Turc and Hansen method showed excellent performance with RMSE, MAE, NSE, and C values for the Turc method, are 0.12, 0.11, 0.78, 0.92 respectively, and for the Hansen method are 0.12, 0.1, 0.8, and 0.89 respectively. |
| format | Article |
| id | doaj-art-f66fbfceebc0401fb2b9953eb4ee2b90 |
| institution | Kabale University |
| issn | 2301-8119 2443-1354 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Fakultas Teknologi Pangan dan Agroindustri Universitas Mataram |
| record_format | Article |
| series | Jurnal Ilmiah Rekayasa Pertanian dan Biosistem |
| spelling | doaj-art-f66fbfceebc0401fb2b9953eb4ee2b902025-08-20T03:27:36ZengFakultas Teknologi Pangan dan Agroindustri Universitas MataramJurnal Ilmiah Rekayasa Pertanian dan Biosistem2301-81192443-13542024-09-0112217719210.29303/jrpb.v12i2.629810Comparison of Empirical Methods to Estimated Reference EvapotranspirationVivi Fitriani0https://orcid.org/0009-0003-3010-4513Cahyoadi Bowo1https://orcid.org/0000-0003-4905-6294Marga Mandala2https://orcid.org/0000-0002-0851-0027La Gandri3https://orcid.org/0009-0004-9867-0105Soil Science Department, Faculty of Agriculture University Of Jember, Jember, Indonesia.Soil Science Department, Faculty of Agriculture University Of Jember, Jember, Indonesia.Soil Science Department, Faculty of Agriculture University Of Jember, Jember, Indonesia.Environment Science Department, Halu Oleo University, Kendari, Indonesia.Evapotranspiration plays an important role in agricultural water management and crop modelling. Estimating reference Evapotranspiration (ETo) using meteorological variables, both theoretical and empirical methods, is highly recommended considering the availability of weather data in several locations. The estimation method recommended as the standard method is FAO Penman Monteith (FAOPM), but due to the limited meteorological data in a region and the difficulty and complexity of FAOPM, it is recommended to use the empirical method which is easier and only requires a few simple meteorological variables. The aim of this research is to compare and evaluated empirical methods for estimating ETo against the FAOPM. The statistical analysis using in this research are RSME, MAE, coefficient Correlation, NSE, Average bias, index of agreement, and confidence index (c). Evaluation for the best models based on statistic analyzed shows that several empirical methods show terrible performance in estimating the monthly average ETo (mm/day), which are Thornthwaite-Mather, Hargraves-Samani, Makkink, Hamon, Romaneko, and Kharauffa. Modified Blaney-Criddle method showed a good performance method, while PMAWS showed very good performance The Turc and Hansen method showed excellent performance with RMSE, MAE, NSE, and C values for the Turc method, are 0.12, 0.11, 0.78, 0.92 respectively, and for the Hansen method are 0.12, 0.1, 0.8, and 0.89 respectively.https://jrpb.unram.ac.id/index.php/jrpb/article/view/629empirical methodsfao penman monteithreference evapotranspiration |
| spellingShingle | Vivi Fitriani Cahyoadi Bowo Marga Mandala La Gandri Comparison of Empirical Methods to Estimated Reference Evapotranspiration Jurnal Ilmiah Rekayasa Pertanian dan Biosistem empirical methods fao penman monteith reference evapotranspiration |
| title | Comparison of Empirical Methods to Estimated Reference Evapotranspiration |
| title_full | Comparison of Empirical Methods to Estimated Reference Evapotranspiration |
| title_fullStr | Comparison of Empirical Methods to Estimated Reference Evapotranspiration |
| title_full_unstemmed | Comparison of Empirical Methods to Estimated Reference Evapotranspiration |
| title_short | Comparison of Empirical Methods to Estimated Reference Evapotranspiration |
| title_sort | comparison of empirical methods to estimated reference evapotranspiration |
| topic | empirical methods fao penman monteith reference evapotranspiration |
| url | https://jrpb.unram.ac.id/index.php/jrpb/article/view/629 |
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