Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts
Accurate daily reference evapotranspiration (ET0) forecasting is necessary for real-time irrigation forecasting. We proposed a method for short-term forecasting of ET0 using the locally calibrated Hargreaves–Samani model and temperature forecasts. Daily meteorological data from four stations in Chin...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/58367 |
| _version_ | 1855536248546918400 |
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| author | Luo, Y. Chang, X. Peng, S. Khan, S. Wang, W. Zheng, Q. Xueliang Cai |
| author_browse | Chang, X. Khan, S. Luo, Y. Peng, S. Wang, W. Xueliang Cai Zheng, Q. |
| author_facet | Luo, Y. Chang, X. Peng, S. Khan, S. Wang, W. Zheng, Q. Xueliang Cai |
| author_sort | Luo, Y. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Accurate daily reference evapotranspiration (ET0) forecasting is necessary for real-time irrigation forecasting. We proposed a method for short-term forecasting of ET0 using the locally calibrated Hargreaves–Samani model and temperature forecasts. Daily meteorological data from four stations in China for the period 2001–2013 were collected to calibrate and validate the Hargreaves–Samani (HS) model against the Penman–Monteith (PM) model, and the temperature forecasts for a 7-day horizonin 2012–2013 were collected and entered into the calibrated HS model to forecast the ET0. The pro-posed method was tested through comparisons between ET0 forecasts and ET0calculated from observed meteorological data and the PM model. The correlation coefficients between observed and forecasted temperatures for all stations were all greater than 0.94, and the accuracy of the minimum temperature forecast (error within ±2 C) ranged from 60.48% to 76.29% and the accuracy of the maximum tempera-ture forecast ranged from 50.18% to 62.94%. The accuracy of the ET0 forecast (error within ±1.5 mm day-1) ranged from 77.43% to 90.81%, the average values of the mean absolute error ranged from 0.64 to1.02 mm day-1, the average values of the root mean square error ranged from 0.87 to 1.36 mm day-1,and the average values of the correlation coefficient ranged from 0.64 to 0.86. The sources of errors were the error in the temperature forecasts and the fact that the effects of wind speed and relative humidity were not considered in the HS model. The applications illustrated that the proposed method could provide daily ET0forecasts with a certain degree of accuracy for real-time irrigation forecasts. |
| format | Journal Article |
| id | CGSpace58367 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace583672025-06-17T08:24:10Z Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts Luo, Y. Chang, X. Peng, S. Khan, S. Wang, W. Zheng, Q. Xueliang Cai weather forecasting models weather data meteorological stations evapotranspiration temperature Accurate daily reference evapotranspiration (ET0) forecasting is necessary for real-time irrigation forecasting. We proposed a method for short-term forecasting of ET0 using the locally calibrated Hargreaves–Samani model and temperature forecasts. Daily meteorological data from four stations in China for the period 2001–2013 were collected to calibrate and validate the Hargreaves–Samani (HS) model against the Penman–Monteith (PM) model, and the temperature forecasts for a 7-day horizonin 2012–2013 were collected and entered into the calibrated HS model to forecast the ET0. The pro-posed method was tested through comparisons between ET0 forecasts and ET0calculated from observed meteorological data and the PM model. The correlation coefficients between observed and forecasted temperatures for all stations were all greater than 0.94, and the accuracy of the minimum temperature forecast (error within ±2 C) ranged from 60.48% to 76.29% and the accuracy of the maximum tempera-ture forecast ranged from 50.18% to 62.94%. The accuracy of the ET0 forecast (error within ±1.5 mm day-1) ranged from 77.43% to 90.81%, the average values of the mean absolute error ranged from 0.64 to1.02 mm day-1, the average values of the root mean square error ranged from 0.87 to 1.36 mm day-1,and the average values of the correlation coefficient ranged from 0.64 to 0.86. The sources of errors were the error in the temperature forecasts and the fact that the effects of wind speed and relative humidity were not considered in the HS model. The applications illustrated that the proposed method could provide daily ET0forecasts with a certain degree of accuracy for real-time irrigation forecasts. 2014-04 2015-03-17T14:39:52Z 2015-03-17T14:39:52Z Journal Article https://hdl.handle.net/10568/58367 en Limited Access Elsevier Luo, Y.; Chang, X.; Peng, S.; Khan, S.; Wang, W.; Zheng, Q.; Cai, Xueliang. 2014. Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts. Agricultural Water Management, 136:42-51. doi: https://doi.org/10.1016/j.agwat.2014.01.006 |
| spellingShingle | weather forecasting models weather data meteorological stations evapotranspiration temperature Luo, Y. Chang, X. Peng, S. Khan, S. Wang, W. Zheng, Q. Xueliang Cai Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts |
| title | Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts |
| title_full | Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts |
| title_fullStr | Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts |
| title_full_unstemmed | Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts |
| title_short | Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts |
| title_sort | short term forecasting of daily reference evapotranspiration using the hargreaves samani model and temperature forecasts |
| topic | weather forecasting models weather data meteorological stations evapotranspiration temperature |
| url | https://hdl.handle.net/10568/58367 |
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