Statistical downscaling of sea levels: application of multi-criteria analysis for selection of global climate models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-022-10449-2.pdf
Reference75 articles.
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4. Aral, M. M., Guan, J., & Chang, B. (2012). Dynamic system model to predict global sea-level rise and temperature change. Journal of Hydrologic Engineering, 17(2), 237–242. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000447
5. Balogun, A. L., & Adebisi, N. (2021). Sea level prediction using ARIMA, SVR and LSTM neural network: Assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy. Geomatics, Natural Hazards and Risk, 12(1), 653–674. https://doi.org/10.1080/19475705.2021.1887372
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