Table 1 Different modified Priestley-Taylor based past studies and their results.
S. No | Author | Algorithm used | Target Problem | Results |
|---|---|---|---|---|
1 | Tang et al.29 | Ts-VI triangle method | Quantify sensible heat flux | Helps to estimate regional surface ET accurately |
2 | Ding et al.30 | Modified Priestley-Taylor | ET estimation over irrigated maize field | A good agreement was found between ET estimated by the model with observations |
3 | Qiu et al.31 | Modified Priestley-Taylor | ET estimation in a rice–wheat rotation system | The model estimates ET for rice and winter wheat reasonably |
4 | Nikolaou et al.32 | Modified Priestley-Taylor | Calibration of Priestley-Taylor (α) coefficient in Mediterranean greenhouse cucumbers | The proposed modified potential evapotranspiration model can be used as a practical method for irrigation scheduling |
5 | Ai and Yang33 | Priestley-Taylor Model | Estimating Cotton Evapotranspiration under Plastic Mulch Condition | The estimated values agreed well with the measured values |
6 | Venturini et al.34 | Modified Priestley-Taylor | Comparison among different modified Priestley and Taylor equations | Both atmospheric and surface variables should be jointly parameterized in order to obtain estimates with lower errors |
7 | Aschonitis et al.35 | Priestley-Taylor method | To test the Priestley-Taylor method for the assessment of reference ET | The surface coverage of the Italian territory, with acceptable ± 10% difference |
8 | García et al.36 | PT-JPL method | Improving regional estimates of actual evapotranspiration (λΕ) in water-limited regions | Both in-situ and satellite data produced satisfactory results for λΕ at the Sahelian savanna |
9 | Sumner and Jacobs37 | Penman–Monteith and MPT | Estimating pasture evapotranspiration using different methods | The PM method was slightly less effective than the PT method |
10 | Yao et al.38 | Modified Priestley-Taylor | MPT algorithm is used to estimate ET then validated | MPT algorithm is satisfactory in reproducing the inter-annual variability at flux tower sites |