A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Local and global sensitivity analysis and its contributing factors in reference crop evapotranspiration
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.;
Local and global sensitivity analysis and its contributing factors in reference crop evapotranspiration
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.;
Local and global sensitivity analysis and its contributing factors in reference crop evapotranspiration
Stephen Luo Sheng Yong (author) / Jing Lin Ng (author) / Yuk Feng Huang (author) / Chun Kit Ang (author) / Majid Mirzaei (author) / Ali Najah Ahmed (author)
2023
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Estimating Reference Crop Evapotranspiration with ETgages
| British Library Online Contents | 2009
| British Library Online Contents | 2005
| British Library Online Contents | 2008
R3.29 Predicting reference crop evapotranspiration with arid weather data
| British Library Conference Proceedings | 2002