FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387652175> ?p ?o ?g. }

• W4387652175 endingPage "130317" @default.
• W4387652175 startingPage "130317" @default.
• W4387652175 abstract "Accurate forecast of reference evapotranspiration (ET0) is essential for effective water resource management and efficient irrigation scheduling. The Penman-Monteith model (PM) recommended by FAO56 is widely used as the standard method for ET0 forecasting, but PM model application is often limited by the absence of forecasted meteorological variables, especially solar radiation (Rs). Previous studies have proposed two types of models based on temperature and sunshine duration to estimate Rs. However, there is currently a lack of comprehensive comparative analysis research to evaluate the performance and applicability of these two types of models combined with weather forecast data for ET0 forecasting using the PM model. To address this issue, we selected China as the research area, which has complex climate zones and an uneven distribution of water resources. The forecasting results of Rs from temperature-based models (M1∼M8) and a sunshine duration-based model (M9) are input independently into the PM model for ET0 forecasting. The updated PM model is named PMTM1∼PMTM8 and PMF, respectively. We conducted a comprehensive and analytical assessment of the updated PMTM1∼PMTM8 model, the PMF model and the Hargreaves-Samani (HS) model in different climate zones of China. The results showed that the accuracy of the M1∼M8 and the M9 for forecasting Rs decreased as the forecasting period increased. The accuracy of the M9 was higher than that of M1∼M8 in the overall accuracy in the subtropical monsoon climate (SMZ). Both the updated PMTM1∼PMTM8 and PMF models were utilized to evaluate the ET0 forecasting performance in all five zones. The PMTM3 model exhibited the highest accuracy, with RMSE and MAE ranges of 0.671∼1.572 mm d-1 and 0.532∼1.365 mm d-1, respectively. In contrast, the PMF model displayed RMSE and MAE ranges of 0.690∼1.590 mm d-1 and 0.641∼1.437 mm d-1, respectively. Compared to the PMF model, the updated PMTM1∼PMTM5 model showed higher accuracy in forecasting ET0 in the plateau mountain climate, temperate continental climate, temperate monsoon climate, and tropical monsoon climatic zones, but was slightly less accurate in the SMZ. Moreover, both models outperformed the Hargreaves-Samani (HS) model in terms of ET0 forecasting accuracy. Specifically, the updated PMTM1∼PMTM5 model demonstrated improved accuracy compared to the temperature-based model HS model across various climate zones, with reductions in RMSE and MAE ranging from 0.117 mm d-1 to 0.616 mm d-1and 0.012 mm d-1 to 0.450 mm d-1, respectively. Overall, the updated PMTM3 model was better than the PMF and thus this model was recommended for daily ET0 forecasting for the near-future at all climate regions across China." @default.
• W4387652175 created "2023-10-16" @default.
• W4387652175 creator A5002406477 @default.
• W4387652175 creator A5017270734 @default.
• W4387652175 creator A5018968425 @default.
• W4387652175 creator A5022162197 @default.
• W4387652175 creator A5036507219 @default.
• W4387652175 creator A5044596805 @default.
• W4387652175 creator A5045031084 @default.
• W4387652175 creator A5079100287 @default.
• W4387652175 creator A5086364222 @default.
• W4387652175 creator A5093066134 @default.
• W4387652175 date "2023-10-01" @default.
• W4387652175 modified "2023-10-16" @default.
• W4387652175 title "Assessing forecasting performance of daily reference evapotranspiration: A comparative analysis of updated Temperature Penman-Monteith and Penman-Monteith Forecast models" @default.
• W4387652175 cites W1188058200 @default.
• W4387652175 cites W1452482314 @default.
• W4387652175 cites W1469381315 @default.
• W4387652175 cites W1969055292 @default.
• W4387652175 cites W1970097889 @default.
• W4387652175 cites W1972641521 @default.
• W4387652175 cites W1988348992 @default.
• W4387652175 cites W1992626024 @default.
• W4387652175 cites W1994791976 @default.
• W4387652175 cites W2003696872 @default.
• W4387652175 cites W2011142156 @default.
• W4387652175 cites W2016643776 @default.
• W4387652175 cites W2023275573 @default.
• W4387652175 cites W2027939224 @default.
• W4387652175 cites W2029175360 @default.
• W4387652175 cites W2031946334 @default.
• W4387652175 cites W2044090917 @default.
• W4387652175 cites W2047445539 @default.
• W4387652175 cites W2049155833 @default.
• W4387652175 cites W2058029961 @default.
• W4387652175 cites W2058998445 @default.
• W4387652175 cites W2069911320 @default.
• W4387652175 cites W2113330138 @default.
• W4387652175 cites W2116931356 @default.
• W4387652175 cites W2136870862 @default.
• W4387652175 cites W2162462697 @default.
• W4387652175 cites W2296778215 @default.
• W4387652175 cites W2409673402 @default.
• W4387652175 cites W2502075365 @default.
• W4387652175 cites W2509053681 @default.
• W4387652175 cites W2522676057 @default.
• W4387652175 cites W2555645875 @default.
• W4387652175 cites W2749106749 @default.
• W4387652175 cites W2768199085 @default.
• W4387652175 cites W2882203834 @default.
• W4387652175 cites W2887332132 @default.
• W4387652175 cites W2889246260 @default.
• W4387652175 cites W2897829916 @default.
• W4387652175 cites W2915721443 @default.
• W4387652175 cites W2955339263 @default.
• W4387652175 cites W2971132334 @default.
• W4387652175 cites W2991073919 @default.
• W4387652175 cites W3036516195 @default.
• W4387652175 cites W3036756942 @default.
• W4387652175 cites W3083174013 @default.
• W4387652175 cites W3087277847 @default.
• W4387652175 cites W3092038101 @default.
• W4387652175 cites W3126042451 @default.
• W4387652175 cites W3169963517 @default.
• W4387652175 cites W3184972185 @default.
• W4387652175 cites W4229020945 @default.
• W4387652175 cites W4256533262 @default.
• W4387652175 cites W4309028372 @default.
• W4387652175 cites W751718722 @default.
• W4387652175 doi "https://doi.org/10.1016/j.jhydrol.2023.130317" @default.
• W4387652175 hasPublicationYear "2023" @default.
• W4387652175 type Work @default.
• W4387652175 citedByCount "0" @default.
• W4387652175 crossrefType "journal-article" @default.
• W4387652175 hasAuthorship W4387652175A5002406477 @default.
• W4387652175 hasAuthorship W4387652175A5017270734 @default.
• W4387652175 hasAuthorship W4387652175A5018968425 @default.
• W4387652175 hasAuthorship W4387652175A5022162197 @default.
• W4387652175 hasAuthorship W4387652175A5036507219 @default.
• W4387652175 hasAuthorship W4387652175A5044596805 @default.
• W4387652175 hasAuthorship W4387652175A5045031084 @default.
• W4387652175 hasAuthorship W4387652175A5079100287 @default.
• W4387652175 hasAuthorship W4387652175A5086364222 @default.
• W4387652175 hasAuthorship W4387652175A5093066134 @default.
• W4387652175 hasConcept C127313418 @default.
• W4387652175 hasConcept C153294291 @default.
• W4387652175 hasConcept C158960510 @default.
• W4387652175 hasConcept C159390177 @default.
• W4387652175 hasConcept C159750122 @default.
• W4387652175 hasConcept C176783924 @default.
• W4387652175 hasConcept C18903297 @default.
• W4387652175 hasConcept C197529216 @default.
• W4387652175 hasConcept C205649164 @default.
• W4387652175 hasConcept C2777589951 @default.
• W4387652175 hasConcept C39432304 @default.
• W4387652175 hasConcept C49204034 @default.
• W4387652175 hasConcept C60352421 @default.
• W4387652175 hasConcept C86803240 @default.

• next