Investigation and Analysis of Sea Surface Temperature and Precipitation of the Southern Caspian Sea Using Wavelet Analysis

• Tipo: Artigo em Revista Científica Internacional
• Data: 2023

Autores

Molavi-Arabshahi, M (Autor) Outra; Azizpour, J (Autor) Outra; Nikan, O (Autor) Outra; Beni, AN (Autor) Outra; António Mendes Lopes (Autor) FEUP

Revista

Título: Axioms

Vol. 12

Página Final: 10

Indexação

ISI Web of Knowledge - 0 Citações

Scopus

Outras Informações

ID Authenticus: P-00X-PBR

DOI: 10.3390/axioms12010010

Abstract (EN): Most time series from real-world processes are stained with noise. Therefore, much attention should be paid to data noise removal techniques. In this study, we use the family of biorthogonal wavelet, high-pass, and low-pass filters, to investigate the power of the wavelet method in removing noise from time series data. Using the wavelet discrete transformation, the variability of precipitation and sea surface temperature is analyzed for a southern region of the Caspian Sea. At each stage of decomposition, the previous wave is decomposed into two waves. In this research, the SST and precipitation data are decomposed into several levels based on discrete wavelet transformation. In each level of decomposition, the previous wave is decomposed into two waves. This can be done many times and at each stage, reducing the amount of data. This method is reversible, and the original wave can be reconstructed using the decomposed values. In the study of discrete wavelet transforms, it was observed that the analysis based on wavelets leads to more accurate results. The reconstruction error in the proposed method is shown to be very small.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 18