Articles | Volume 18, issue 2
https://doi.org/10.5194/gmd-18-433-2025
https://doi.org/10.5194/gmd-18-433-2025
Methods for assessment of models
 | 
27 Jan 2025
Methods for assessment of models |  | 27 Jan 2025

ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool

Dario Di Santo, Cenlin He, Fei Chen, and Lorenzo Giovannini

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Alqahtani, A., Shah, M. I., Aldrees, A., and Javed, M. F.: Comparative Assessment of Individual and Ensemble Machine Learning Models for Efficient Analysis of River Water Quality, Sustainability, 14, 1183, https://doi.org/10.3390/su14031183, 2022. a
Antoniadis, A., Lambert-Lacroix, S., and Poggi, J.-M.: Random forests for global sensitivity analysis: A selective review, Reliability Engineering & System Safety, 206, 107312, https://doi.org/10.1016/j.ress.2020.107312, 2021. a
Antonogeorgos, G., Panagiotakos, D. B., Priftis, K. N., and Tzonou, A.: Logistic Regression and Linear Discriminant Analyses in Evaluating Factors Associated with Asthma Prevalence among 10- to 12-Years-Old Children: Divergence and Similarity of the Two Statistical Methods, International J. Pediatrics, 2009, 952042, https://doi.org/10.1155/2009/952042, 2009. a
Arpaci, A., Malowerschnig, B., Sass, O., and Vacik, H.: Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests, Appl. Geogr., 53, 258–270, https://doi.org/10.1016/j.apgeog.2014.05.015, 2014. a
Arsenault, K. R., Nearing, G. S., Wang, S., Yatheendradas, S., and Peters-Lidard, C. D.: Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation, J. Hydrometeorol., 19, 815–830, https://doi.org/10.1175/jhm-d-17-0205.1, 2018. a
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Short summary
This paper presents the Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool (ML-AMPSIT), a computationally efficient tool that uses machine learning algorithms for sensitivity analysis in atmospheric models. It is tested with the Weather Research and Forecasting (WRF) model coupled with the Noah-Multiparameterization (Noah-MP) land surface model to investigate sea breeze circulation sensitivity to vegetation-related parameters.
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