Nekouie et al. (2026) Performance Analysis of Satellite Altimetry Missions in Water Level Retrieval and Drought Detection: A Case Study in Iran

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

Identification

• Journal: Natural Hazards Review
• Year: 2026
• Date: 2026-10-22
• Authors: Reyhaneh Nekouie, Majid Rahimzadegan
• DOI: 10.1061/nhrefo.nheng-2848

Research Groups

Not explicitly mentioned in the abstract.

Short Summary

This study validates satellite altimetry-derived water level time series against observed data for eight water bodies in Iran and demonstrates their utility for drought detection using SPI and SPEI. Results show high accuracy for SARAL and Sentinel-3A missions and effective drought monitoring capabilities, particularly for Envisat at Zarivar Lake.

Objective

• To validate water level time series derived from satellite altimetry missions (Envisat, SARAL, Sentinel-3A, Sentinel-3B, JASON series) by comparing them with observed daily water levels.
• To explore the usefulness of satellite altimetry-measured water level changes for drought detection.
• To analyze the relationships between satellite altimetry-measured water level changes and drought occurrence using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI).

Study Configuration

• Spatial Scale: Eight water bodies in Iran.
• Temporal Scale: 2000 to 2022 (22 years).

Methodology and Data

• Models used: Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI).
• Data sources:
  • Satellite altimetry missions: Environmental Satellite (Envisat), Satellite with ARgos and ALtiKa (SARAL), Sentinel-3A, Sentinel-3B, The Joint Altimetry Satellite Oceanography Network (JASON) series.
  • Observed daily water levels (for validation).

Main Results

• SARAL and Sentinel-3A missions exhibited lower root mean square error (RMSE) values of 0.04 meters and 0.07 meters, respectively, when compared to observed daily water levels.
• Sentinel-3A and SARAL missions showed high R-squared (R²) values of 0.98 and 0.97, respectively, indicating strong correlation with observed data.
• The Envisat altimetry mission at Zarivar Lake demonstrated optimal performance for drought detection, achieving an average probable drought detection of 73% for mild drought conditions.
• Overall, the research confirmed that satellite altimetry data can effectively monitor water-level changes for drought assessment.

Contributions

• Provides a comprehensive validation of multiple satellite altimetry missions for water level monitoring in specific regional water bodies in Iran.
• Demonstrates the practical application of satellite altimetry data for drought detection and assessment using established drought indices (SPI and SPEI).
• Quantifies the accuracy and performance of various altimetry missions (SARAL, Sentinel-3A, Envisat) in monitoring water levels and detecting drought events.

Funding

Not explicitly mentioned in the abstract.

Citation

@article{Nekouie2026Performance,
  author = {Nekouie, Reyhaneh and Rahimzadegan, Majid},
  title = {Performance Analysis of Satellite Altimetry Missions in Water Level Retrieval and Drought Detection: A Case Study in Iran},
  journal = {Natural Hazards Review},
  year = {2026},
  doi = {10.1061/nhrefo.nheng-2848},
  url = {https://doi.org/10.1061/nhrefo.nheng-2848}
}