Local and global sensitivity analysis and its contributing factors in reference crop evapotranspiration
Stephen Luo Sheng Yong,
Jing Lin Ng,
Yuk Feng Huang,
Chun Kit Ang,
Majid Mirzaei,
Ali Najah Ahmed
Affiliations
Stephen Luo Sheng Yong
Department of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia
Jing Lin Ng
Department of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia
Yuk Feng Huang
Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sg. Long, Bandar Sg. Long, Cheras, 43000, Kajang, Selangor, Malaysia
Chun Kit Ang
Department of Mechanical Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia
Majid Mirzaei
Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA
Ali Najah Ahmed
Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), 43000, Selangor, Malaysia
Sensitivity analysis (SA) intends to identify the key meteorological variables that affect the performance of reference crop evapotranspiration (ET0) models. It is of importance in assessing the variability of meteorological variables and ET0, especially in the face of increasing climate uncertainties. However, the surging of inconsistencies resulting from global changes in meteorological conditions due to climate change have impacted the ET0 model estimation in different regions, with detrimental effects on water resources and crop production. Therefore, efficient SA is necessary to evaluate the impact of changes in meteorological variables that influence ET0 model estimation. This mini review analyses the various SA methods applied in the field of ET0, based on a comprehensive and comparative analysis of existing SA methods from all around the world. The study discusses the advantages and disadvantages of each SA method, as well as the factors affecting the SA of ET0. The study also provides future prospects that may contribute to more solid and powerful analysis for ET0 model estimations and conclusions. HIGHLIGHTS The local and global sensitivity analysis for ET0 estimation were reviewed.; The categories, methods, and limitations for SA were examined.; The factors affecting the SA of ET0 were discussed.; The new possible research directions for SA in ET0 estimations are outlined.;
