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Exploring the effects of climatic variables on monthly precipitation variation using a continuous wavelet-based
Kiyoumars Roushangar1, Farhad Alizadeh1, Jan Adamowski2
1Department of Water Resources Engineering, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran.
Environmental Research
|May 1, 2018
Summary
This study introduces a new method using continuous wavelet transform (CWT) and multiscale entropy (CWME) to analyze precipitation complexity. It reveals that precipitation patterns in Iran are not geographically contiguous and are influenced by climate factors like ENSO.
Area of Science:
- Hydrology and Climatology
- Time Series Analysis
- Geospatial Data Analysis
Background:
- Regional precipitation analysis is crucial for water resource management.
- Understanding precipitation complexity aids in better planning and prediction.
- Existing methods may not fully capture the intricate temporal variations in precipitation.
Purpose of the Study:
- To develop and validate a novel methodology for regional precipitation complexity analysis.
- To regionalize precipitation data in Iran using a combined CWT and CWME approach.
- To investigate the influence of climatic factors on regional precipitation patterns.
Main Methods:
- Continuous Wavelet Transform (CWT) for time series decomposition.
- Multiscale Entropy (CWME) to quantify precipitation complexity.
- Self-Organizing Map (SOM) and k-means clustering for regionalization.
- Wavelet Coherence (WTC) to analyze climate influences.
Main Results:
- 31 rain gauges in Iran were clustered into 6 groups with distinct CWME patterns.
- Hydrologic similarity in precipitation was found to be independent of geographic proximity.
- Climate factors including ENSO, EA, and wind significantly influenced Iranian precipitation (1960-2010), except for NAO.
Conclusions:
- The proposed CWME methodology effectively regionalizes precipitation based on hydrologic similarity.
- Precipitation patterns exhibit complex multiscale variations not solely determined by location.
- Climate variability plays a significant role in shaping regional precipitation dynamics in Iran.
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