Zhang et al. (2025) Seasonal Dependence of Evaporation Characteristics over the North Atlantic and Reliability Assessment of Multiple Datasets

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Identification

• Journal: Atmosphere
• Year: 2025
• Date: 2025-12-25
• Authors: ZengPing Zhang, Lingfeng Zheng, Shuying Liu, Bicheng Huang
• DOI: 10.3390/atmos17010026

Research Groups

Not specified in the provided text.

Short Summary

This study investigates the spatiotemporal characteristics of North Atlantic evaporation from 1980 to 2015, revealing high consistency and reliability in cold season patterns across four datasets, while warm season patterns exhibit significant divergence and sensitivity to dataset selection.

Objective

• To examine the principal spatiotemporal characteristics of North Atlantic evaporation during cold (December–May) and warm (June–November) seasons from 1980 to 2015, using multiple reanalysis and observational datasets.

Study Configuration

• Spatial Scale: North Atlantic region.
• Temporal Scale: 36 years (1980–2015), analyzed for cold season (December–May) and warm season (June–November).

Methodology and Data

• Models used: Evaporation decomposition method.
• Data sources: ERA5 (reanalysis), JRA-55 (reanalysis), MERRA-2 (reanalysis), OAFlux (observation-based flux product).

Main Results

• During the cold season, all four datasets consistently show a meridional triple pattern in North Atlantic evaporation, primarily driven by the wind speed term (U) and the stability term (S). A synchronous interdecadal shift was observed around the late 1990s, indicating high reliability of cold season features.
• During the warm season, dominant evaporation modes diverge significantly across datasets. ERA5 and JRA-55 exhibit a dominant zonal triple pattern, while this pattern appears as a secondary mode in MERRA-2 and OAFlux, with discrepancies in spatial structure and temporal evolution.
• Warm season patterns are mainly controlled by the relative humidity term (RH), and associated uncertainties are linked to differences in how datasets characterize RH under global warming.

Contributions

• Demonstrates the high credibility and robustness of cold season evaporation characteristics over the North Atlantic, providing a strong foundation for mechanistic studies.
• Highlights the significant sensitivity of warm season evaporation results to dataset selection, emphasizing the need for rigorous uncertainty assessment in future research.
• Provides a scientific basis for data selection and seasonal differential analysis in related studies concerning North Atlantic evaporation.

Funding

Not specified in the provided text.

Citation

@article{Zhang2025Seasonal,
  author = {Zhang, ZengPing and Zheng, Lingfeng and Liu, Shuying and Huang, Bicheng},
  title = {Seasonal Dependence of Evaporation Characteristics over the North Atlantic and Reliability Assessment of Multiple Datasets},
  journal = {Atmosphere},
  year = {2025},
  doi = {10.3390/atmos17010026},
  url = {https://doi.org/10.3390/atmos17010026}
}