Techniques used to predict climate risks: a brief literature survey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-06046-2.pdf
Reference39 articles.
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2. Alizadeh MR, Nikoo MR (2018) A fusion-based methodology for meteorological drought estimation using remote sensing data. Remote Sens Environ 211(May):229–247. https://doi.org/10.1016/j.rse.2018.04.001
3. Alshouny A, Elnabwy MT, Kaloop MR, Baik A, Miky Y (2022) An integrated framework for improving sea level variation prediction based on the integration Wavelet-artificial intelligence approaches. Environ Modell Softw 152(April):105399. https://doi.org/10.1016/j.envsoft.2022.105399
4. Arabzadeh R, Kholoosi MM, Bazrafshan J (2016) Regional hydrological drought monitoring using principal components analysis. J Irrig Drain Eng 142(1):04015029. https://doi.org/10.1061/(asce)ir.1943-4774.0000925
5. Bacanli UG, Firat M, Dikbas F (2009) Adaptive neuro-fuzzy inference system for drought forecasting. Stoch Environ Res Risk Assess 23(8):1143–1154. https://doi.org/10.1007/s00477-008-0288-5
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