Redirigiendo al acceso original de articulo en 15 segundos...
Inicio  /  Water  /  Vol: 14 Par: 18 (2022)  /  Artículo
ARTÍCULO
TITULO

Evaluation of Five Equations for Short-Term Reference Evapotranspiration Forecasting Using Public Temperature Forecasts for North China Plain

Lei Zhang    
Xin Zhao    
Jiankun Ge    
Jiaqi Zhang    
Seydou Traore    
Guy Fipps and Yufeng Luo    

Resumen

Accurate short-term forecasts of daily reference evapotranspiration (ET0) are essential for real-time irrigation scheduling. Many models rely on current and historical temperature data to estimate daily ET0. However, easily accessible temperature forecasts are relatively less reported in short-term ET0 forecasting. Furthermore, the accuracy of ET0 forecasting from different models varies locally and also across regions. We used five temperature-dependent models to forecast daily ET0 for a 7-day horizon in the North China Plain (NCP): the McCloud (MC), Hargreaves-Samani (HS), Blaney-Criddle (BC), Thornthwaite (TH), and reduced-set Penman?Monteith (RPM) models. Daily meteorological data collected between 1 January 2000 and 31 December 2014 at 17 weather stations in NCP to calibrate and validate the five ET0 models against the ASCE Penman?Monteith (ASCE-PM). Forecast temperatures for up to 7 d ahead for 1 January 2015?19 June 2021 were input to the five calibrated models to forecast ET0. The performance of the five models improved for forecasts at all stations after calibration. The calibrated RPM is the preferred choice for forecasting ET0 in NCP. In descending order of preference, the remaining models were ranked as HS, TH, BC, and MC. Sensitivity analysis showed that a change in maximum temperature influenced the accuracy of ET0 forecasting by the five models, especially RPM, HS, and TH, more than other variables. Meanwhile, the calibrated RPM and HS equations were better than the other models, and thus, these two equations were recommended for short-term ET0 forecasting in NCP.

 Artículos similares

       
 
Juraj Tomá?ik, Márton Zsoldos, Lubica Oravcová, Michaela Lifková, Gabriela Pavleová, Martin Strunga and Andrej Thurzo    
In the age of artificial intelligence (AI), technological progress is changing established workflows and enabling some basic routines to be updated. In dentistry, the patient?s face is a crucial part of treatment planning, although it has always been dif... ver más
Revista: AI

 
Omiros Iatrellis, Nicholas Samaras, Konstantinos Kokkinos and Apostolis Xenakis    
Academic advising is often pivotal in shaping students? educational experiences and choices. This study leverages natural language processing to quantitatively evaluate reviews of academic advisors, aiming to provide actionable insights on key feedback p... ver más

 
Jakub Kowalski, Joanna Rygas, Karolina Homa, Wojciech Dobrzynski, Rafal J. Wiglusz, Jacek Matys and Maciej Dobrzynski    
Numerous failures in root canal treatment (RCT), attributed to the persistence of adverse microbiota, prompted researchers to develop a biomaterial with effective antibacterial and antifungal properties. In our systematic review, emphasis was placed on e... ver más
Revista: Applied Sciences

 
Chunru Cheng, Linbing Wang, Xingye Zhou and Xudong Wang    
As the main cause of asphalt pavement distress, rutting severely affects pavement safety. Establishing an accurate rutting prediction model is crucial for asphalt pavement maintenance, pavement structure design, and pavement repair. This study explores f... ver más
Revista: Applied Sciences

 
Hongguo Ren, Yujun Wang, Jing Zhang, Ziming Zheng and Qingqin Wang    
As the quality of life and the spiritual and cultural well-being of the inhabitants progress, the current rural infrastructure has challenges in adequately addressing the physical and psychological requirements of individuals. This work presents a method... ver más
Revista: Applied Sciences