Feng et al. (2025) Modeling and Spatiotemporal Analysis of Actual Evapotranspiration in a Desert Steppe Based on SEBS

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Hydrology
• Year: 2025
• Date: 2025-08-06
• Authors: Yanlin Feng, Lixia Wang, Chunwei Liu, Baozhong Zhang, Jun Wang, Pei Zhang, Ranghui Wang
• DOI: 10.3390/hydrology12080205

Research Groups

Not specified in the provided text.

Short Summary

This study utilizes the Surface Energy Balance System (SEBS) model and Landsat-8 imagery to accurately quantify actual evapotranspiration (ET) in arid desert steppe ecosystems, demonstrating superior accuracy compared to MOD16A2 products.

Objective

• To enhance the spatiotemporal accuracy of actual evapotranspiration (ET) estimation in vulnerable desert steppe ecosystems through the integration of remote sensing and energy balance modeling.

Study Configuration

• Spatial Scale: Regional (Desert steppe ecosystems, categorized into northern, central, and southern regions).
• Temporal Scale: Daily and monthly resolution for the year 2019.

Methodology and Data

• Models used: Surface Energy Balance System (SEBS).
• Data sources: Landsat-8 imagery, meteorological data from national stations, and ground-based validation via a large-weighted lysimeter.

Main Results

• Seasonal Variation: ET peaked in July at 6.40 mm/day and reached a minimum in December at 1.83 mm/day.
• Spatial Distribution: ET was significantly higher in southern regions than in central and northern areas, primarily driven by higher precipitation and vegetation coverage in the southeast.
• Model Accuracy: The SEBS-derived ET showed a mean relative error of 4.30% compared to lysimeter measurements and consistently outperformed MOD16A2 ET products.
• Key Drivers: ET exhibited a strong positive correlation with surface temperatures and vegetation density, with precipitation gradients and land use acting as primary spatial controllers.

Contributions

• Validated the SEBS framework as a reliable, resource-optimized computational tool for multi-scale quantification of ET spatiotemporal heterogeneity in arid steppes, providing a basis for improved water resource management and drought monitoring.

Funding

Not specified in the provided text.

Citation

@article{Feng2025Modeling,
  author = {Feng, Yanlin and Wang, Lixia and Liu, Chunwei and Zhang, Baozhong and Wang, Jun and Zhang, Pei and Wang, Ranghui},
  title = {Modeling and Spatiotemporal Analysis of Actual Evapotranspiration in a Desert Steppe Based on SEBS},
  journal = {Hydrology},
  year = {2025},
  doi = {10.3390/hydrology12080205},
  url = {https://doi.org/10.3390/hydrology12080205}
}