Local and global sensitivity analysis and its contributing factors in reference crop evapotranspiration

Author:

Yong Stephen Luo Sheng1,Ng Jing Lin1ORCID,Huang Yuk Feng2,Ang Chun Kit3,Mirzaei Majid4,Ahmed Ali Najah5

Affiliation:

1. a Department of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia

2. b 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

3. c Department of Mechanical Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia

4. d Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA

5. e Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), 43000, Selangor, Malaysia

Abstract

Abstract 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.

Funder

Fundamental Research Grant Scheme

Publisher

IWA Publishing

Subject

Water Science and Technology

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