Coupled data pre-processing approach with data intelligence models for monthly precipitation forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13762-022-04395-2.pdf
Reference62 articles.
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2. Abdollahi S, Raeisi J, Khalilianpour M et al (2017) Daily mean streamflow prediction in perennial and non-perennial rivers using four data driven techniques. Water Resour Manag 31:4855–4874. https://doi.org/10.1007/s11269-017-1782-7
3. Adamowski JF (2008a) River flow forecasting using wavelet and cross-wavelet transform models. Hydrol Process 22:4877–4891. https://doi.org/10.1002/hyp.7107
4. Adamowski JF (2008b) Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis. J Hydrol 353:247–266. https://doi.org/10.1016/j.jhydrol.2008.02.013
5. Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390:85–91. https://doi.org/10.1016/j.jhydrol.2010.06.033
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