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

https://doi.org/10.2166/ws.2023.086

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2014wr016527openalex-snapshot

What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models

inferredcites →https://doi.org/10.1002/agg2.20155openalex-snapshot

Sensitivity of reference evapotranspiration to weather variables across seven regions of Turkey

inferredcites →https://doi.org/10.1002/hyp.13978openalex-snapshot

Elevation‐dependent changes in reference evapotranspiration due to climate change

inferredcites →https://doi.org/10.1002/hyp.336openalex-snapshot

Sensitivity analysis and multi‐response, multi‐criteria evaluation of a physically based distributed model

inferredcites →https://doi.org/10.1002/mrm.26727openalex-snapshot

Sensitivity analysis of magnetic field measurements for magnetic resonance electrical impedance tomography (MREIT)

inferredcites →https://doi.org/10.1007/s00024-021-02806-yopenalex-snapshot

Spatial and Temporal Properties of Reference Evapotranspiration and Its Related Climatic Parameters in the Main Agricultural Regions of Iran

inferredcites →https://doi.org/10.1007/s00376-020-2105-0openalex-snapshot

Comparison of Ten Potential Evapotranspiration Models and Their Attribution Analyses for Ten Chinese Drainage Basins

inferredcites →https://doi.org/10.1007/s00382-019-04619-1openalex-snapshot

Sensitivity of ASCE-Penman–Monteith reference evapotranspiration under different climate types in Brazil

inferredcites →https://doi.org/10.1007/s00477-015-1120-7openalex-snapshot

Spatiotemporal pattern of the global sensitivity of the reference evapotranspiration to climatic variables in recent five decades over China

inferredcites →https://doi.org/10.1007/s00477-022-02209-yopenalex-snapshot

Comparative assessment of reference crop evapotranspiration models and its sensitivity to meteorological variables in Peninsular Malaysia

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Sensitivity analysis and comparison of various potential evapotranspiration formulae for selected Greek areas with different climate conditions

inferredcites →https://doi.org/10.1007/s00704-020-03505-9openalex-snapshot

Performance of the FAO Penman-Monteith equation under limiting conditions and fourteen reference evapotranspiration models in southern Manitoba

inferredcites →https://doi.org/10.1007/s11269-022-03067-7openalex-snapshot

Evapotranspiration Modeling Using Different Tree Based Ensembled Machine Learning Algorithm

inferredcites →https://doi.org/10.1007/s11356-019-06419-wopenalex-snapshot

Sensitivity analysis of the reference crop evapotranspiration in a humid region

inferredcites →https://doi.org/10.1007/s12517-021-07909-3openalex-snapshot

Spatiotemporal analysis of temperature data trends in Peninsular Malaysia

inferredcites →https://doi.org/10.1007/s40333-021-0054-9openalex-snapshot

Investigation of crop evapotranspiration and irrigation water requirement in the lower Amu Darya River Basin, Central Asia

inferredcites →https://doi.org/10.1007/s40808-018-0497-yopenalex-snapshot

Evaluation of the Penman–Monteith reference evapotranspiration under limited data and its sensitivity to key climatic variables under humid and semiarid conditions

inferredcites →https://doi.org/10.1016/0002-1571(75)90031-xopenalex-snapshot

Sensitivity analyses of the combination evapotranspiration equation

inferredcites →https://doi.org/10.1016/0022-1694(73)90024-3openalex-snapshot

The role of sensitivity analysis in hydrologic modeling

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A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates

inferredcites →https://doi.org/10.1016/j.agwat.2018.04.007openalex-snapshot

Evaluating evapotranspiration estimation methods in APEX model for dryland cropping systems in a semi-arid region

inferredcites →https://doi.org/10.1016/j.agwat.2018.06.043openalex-snapshot

Simultaneous calibration of evapotranspiration and crop yield in agronomic system modeling using the APEX model

inferredcites →https://doi.org/10.1016/j.agwat.2019.02.014openalex-snapshot

Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China

inferredcites →https://doi.org/10.1016/j.agwat.2019.105875openalex-snapshot

Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data

inferredcites →https://doi.org/10.1016/j.atmosres.2020.105096openalex-snapshot

Changes in reference evapotranspiration and its driving factors in peninsular Malaysia

inferredcites →https://doi.org/10.1016/j.atmosres.2021.105763openalex-snapshot

Changes of potential evapotranspiration and its sensitivity across China under future climate scenarios

inferredcites →https://doi.org/10.1016/j.compag.2014.11.013openalex-snapshot

Sensitivity analysis of reference evapotranspiration to sensor accuracy

inferredcites →https://doi.org/10.1016/j.compag.2020.105658openalex-snapshot

Comparison of evapotranspiration methods in the DSSAT Cropping System Model: I. Global sensitivity analysis

inferredcites →https://doi.org/10.1016/j.ejrh.2021.100820openalex-snapshot

Future trend and sensitivity analysis of evapotranspiration in the Senegal River Basin

inferredcites →https://doi.org/10.1016/j.enbuild.2019.109659openalex-snapshot

The role of sensitivity analysis in the building performance analysis: A critical review

inferredcites →https://doi.org/10.1016/j.envsoft.2017.03.031openalex-snapshot

Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale

inferredcites →https://doi.org/10.1016/j.envsoft.2018.10.005openalex-snapshot

VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis

inferredcites →https://doi.org/10.1016/j.envsoft.2019.01.012openalex-snapshot

Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices

inferredcites →https://doi.org/10.1016/j.foodchem.2018.10.090openalex-snapshot

Human health risk assessment for some toxic metals in widely consumed rice brands (domestic and imported) in Tehran, Iran: Uncertainty and sensitivity analysis

inferredcites →https://doi.org/10.1016/j.jhydrol.2015.02.013openalex-snapshot

Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications

inferredcites →https://doi.org/10.1016/j.jhydrol.2021.126104openalex-snapshot

Crop evapotranspiration prediction by considering dynamic change of crop coefficient and the precipitation effect in back-propagation neural network model

inferredcites →https://doi.org/10.1016/j.mbs.2020.108306openalex-snapshot

Sensitivity analysis methods in the biomedical sciences

inferredcites →https://doi.org/10.1016/j.proeng.2016.06.369openalex-snapshot

Comparison of Sensitivity Analysis Methods in Building Energy Assessment

inferredcites →https://doi.org/10.1016/j.scitotenv.2017.07.007openalex-snapshot

Changes in reference evapotranspiration and its driving factors in the middle reaches of Yellow River Basin, China

inferredcites →https://doi.org/10.1029/2018wr023485openalex-snapshot

Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification

inferredcites →https://doi.org/10.1029/wr012i005p00873openalex-snapshot

Sensitivity and model variance analysis applied to some evaporation and evapotranspiration models

inferredcites →https://doi.org/10.1080/00401706.1999.10485594openalex-snapshot

A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output

inferredcites →https://doi.org/10.1080/02626667.2015.1031762openalex-snapshot

Coupling SEBAL with a new radiation module and MODIS products for better estimation of evapotranspiration

inferredcites →https://doi.org/10.1080/19942060.2021.1942990openalex-snapshot

Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test

inferredcites →https://doi.org/10.1080/19942060.2022.2027273openalex-snapshot

Deep learning versus gradient boosting machine for pan evaporation prediction

inferredcites →https://doi.org/10.1080/19942060.2022.2043187openalex-snapshot

Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature

inferredcites →https://doi.org/10.1080/19942060.2022.2125442openalex-snapshot

Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference evapotranspiration in Hetao Irrigation District of China

inferredcites →https://doi.org/10.1109/access.2020.2985230openalex-snapshot

LSTM Based EFAST Global Sensitivity Analysis for Interwell Connectivity Evaluation Using Injection and Production Fluctuation Data

inferredcites →https://doi.org/10.2166/wcc.2021.018openalex-snapshot

Performance of potential evapotranspiration models in Peninsular Malaysia

inferredcites →https://doi.org/10.2166/ws.2021.179openalex-snapshot

Evaluating the climate change effects on temperature, precipitation and evapotranspiration in eastern Iran using CMPI5

inferredcites →https://doi.org/10.2166/ws.2021.343openalex-snapshot

Evaluation of temporal variability and stationarity of potential evapotranspiration in Peninsular Malaysia

inferredcites →https://doi.org/10.2166/ws.2021.457openalex-snapshot

An effective evapotranspiration estimation scheme based on statistical indicators for sustainable environments in humid and semi-arid area of Khyber Pakhtunkhwa, Pakistan

inferredcites →https://doi.org/10.2166/wst.2021.279openalex-snapshot

Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system

inferredcites →https://doi.org/10.30955/gnj.000882openalex-snapshot

Sensitivity analysis of different evapotranspiration methods using a new sensitivity coefficient

inferredcites →https://doi.org/10.3390/w12082263openalex-snapshot

Quantitative Analysis of the Impact of Meteorological Factors on Reference Evapotranspiration Changes in Beijing, 1958–2017

inferredcites →https://doi.org/10.3390/w13182523openalex-snapshot

A Review of Evapotranspiration Measurement Models, Techniques and Methods for Open and Closed Agricultural Field Applications

inferredcites →https://doi.org/10.3390/w9050316openalex-snapshot

Changes of Reference Evapotranspiration and Its Relationship to Dry/Wet Conditions Based on the Aridity Index in the Songnen Grassland, Northeast China

inferredcites →https://doi.org/10.3390/w9070493openalex-snapshot

Spatiotemporal Changes of Reference Evapotranspiration in the Highest-Latitude Region of China

inferredcites →https://doi.org/10.5194/hess-21-2107-2017openalex-snapshot

Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Spatiotemporal Patterns of Meteorological Factors Contributing to Summer Potential Evapotranspiration

inferred← citeshttps://doi.org/10.1002/wwp2.12175openalex-snapshot

Recurrent neural networks and sensitivity analysis for accurate monthly evapotranspiration estimation in the region of Fez, Morocco

inferred← citeshttps://doi.org/10.1007/s00704-025-05940-yopenalex-snapshot

Applicability evaluation and empirical parameter calibration of different reference crop evapotranspiration models in the Shiyang river basin

inferred← citeshttps://doi.org/10.1007/s11104-026-08640-2openalex-snapshot

Applicability of the DSSAT model for drip-irrigated maize production in Xinjiang: model evaluation and yield projection under future climate change

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A novel integration of regret-based methodology and bankruptcy theory for waste load allocation

inferred← citeshttps://doi.org/10.1016/j.agwat.2026.110627openalex-snapshot

Simulation of crop water use of drip-irrigated summer soybean using the SIMDual_Kc model: A case study from Southern Xinjiang, China

inferred← citeshttps://doi.org/10.1016/j.compag.2025.111025openalex-snapshot

Data-driven localization of the TOMGRO model: Cultivar-specific parameter optimization for Shanghai greenhouse tomato production

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127663openalex-snapshot

Reliability analysis of concrete gravity dams based on the Bayesian line sampling algorithm and global sensitivity analysis method

inferred← citeshttps://doi.org/10.1016/j.ufug.2024.128389openalex-snapshot

A three-layer evapotranspiration model considering the vertical structure of urban green spaces

inferred← citeshttps://doi.org/10.2139/ssrn.6021746openalex-snapshot

Adaptive Evapotranspiration Estimation under Sparse Meteorological Sensor Availability via Bayesian Calibration of the FAO-56 Penman–Monteith Equation and Masked Neural Network Modeling

inferred← citeshttps://doi.org/10.2166/nh.2025.025openalex-snapshot

Estimation of daily evapotranspiration using machine learning models in China: based on ChinaFLUX sites

inferred← citeshttps://doi.org/10.2166/wcc.2023.485openalex-snapshot

Analyzing the relationship between meteorological changes and evapotranspiration trends in Gia Lai province, Central Highlands of Vietnam

inferred← citeshttps://doi.org/10.2166/ws.2023.237openalex-snapshot

Improving the remote sensing process of evapotranspiration in the SEBAL algorithm using meta-heuristic models

inferred← citeshttps://doi.org/10.2166/ws.2023.327openalex-snapshot

Retracted: Sensitivity analysis of estimated evapotranspiration using soil moisture content, energy balance model of SEBAL algorithm

inferred← citeshttps://doi.org/10.3389/fpls.2024.1354913openalex-snapshot

Research on methods for estimating reference crop evapotranspiration under incomplete meteorological indicators

inferred← citeshttps://doi.org/10.3390/earth5020007openalex-snapshot

The Modelling of the Evapotranspiration Portion of the Water Footprint: A Global Sensitivity Analysis in the Brazilian Serra Gaúcha

inferred← citeshttps://doi.org/10.3390/w15183283openalex-snapshot

Multivariate Drought Risk Analysis for the Weihe River: Comparison between Parametric and Nonparametric Copula Methods

inferred← citeshttps://doi.org/10.4236/jwarp.2026.188026openalex-snapshot

Comparative Assessment of Irrigation Water Requirements for Major Crops in the Senegal River Basin Using AgERA5 and NASA POWER Reanalysis Data

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