Choobe et al. (2026) Entropy‐Based Analysis of Evaporation Variability: Assessing Climatic Parameters Using Wavelet Coherence and GeoDetector

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Identification

• Journal: International Journal of Climatology
• Year: 2026
• Date: 2026-01-22
• Authors: Sepideh Choobe, Behnoush Farokhzadeh, Rasool Imani
• DOI: 10.1002/joc.70263

Research Groups

Not specified in the provided abstract.

Short Summary

This study develops an integrated framework combining permutation entropy, GeoDetector, and wavelet coherence to analyze evaporation variability across Iran's diverse climatic zones. It reveals that temperature-related variables are the strongest climatic controls on evaporation, exhibiting significant coherence at multi-month and annual scales.

Objective

• To analyze evaporation variability across Iran's diverse climatic zones using an integrated framework of permutation entropy (PE), GeoDetector, and wavelet coherence (WTC).

Study Configuration

• Spatial Scale: Iran's diverse climatic zones (national scale).
• Temporal Scale: Daily meteorological observations from 1995–2024 (29 years), aggregated to monthly values for some analyses.

Methodology and Data

• Models used: Permutation Entropy (PE), GeoDetector, Wavelet Coherence (WTC).
• Data sources: Daily meteorological observations.

Main Results

• GeoDetector analysis indicates that minimum temperature (26%), mean temperature (21%), and sunshine duration (12%) are the strongest contributors to evaporation variability.
• Humidity contributes 16%, while precipitation (5%) and wind speed (4%) have smaller effects.
• The combined interaction of temperature-related variables amplifies their influence, explaining up to 47% of evaporation variability.
• Wavelet Coherence (WTC) analysis reveals significant coherence between evaporation and both temperature and sunshine duration at 6–24 month and annual scales.
• Wind speed and humidity show weaker or intermittent associations with evaporation variability.

Contributions

• Provides quantitative evidence of the climatic controls on evaporation in Iran.
• Demonstrates the effectiveness of entropy-based methods in capturing nonlinear and multi-scale variability in hydrological processes.
• Offers essential insights for improving hydrological models, predicting water availability, and guiding adaptive water-resource management strategies under climate change.

Funding

Not specified in the provided abstract.

Citation

@article{Choobe2026EntropyBased,
  author = {Choobe, Sepideh and Farokhzadeh, Behnoush and Imani, Rasool},
  title = {Entropy‐Based Analysis of Evaporation Variability: Assessing Climatic Parameters Using Wavelet Coherence and <scp>GeoDetector</scp>},
  journal = {International Journal of Climatology},
  year = {2026},
  doi = {10.1002/joc.70263},
  url = {https://doi.org/10.1002/joc.70263}
}