Feng et al. (2025) Enhanced Detection of Drought Events in California’s Central Valley Basin Using Rauch–Tung–Striebel Smoothed GRACE Level-2 Data: Mechanistic Insights from Climate–Hydrology Interactions

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Identification

• Journal: Remote Sensing
• Year: 2025
• Date: 2025-11-10
• Authors: Yong Feng, Nijia Qian, Qingqing Tong, Yu Cao, Yueyang Huan, Yuhua Zhu, Dehu Yang
• DOI: 10.3390/rs17223683

Research Groups

Not explicitly stated in the provided text.

Short Summary

This study develops a state-space model to mitigate GRACE north-south strip errors, applying it to estimate the GRACE Groundwater Drought Index (GGDI) in the California Central Valley. The model effectively quantifies groundwater changes, revealing significant depletion during droughts and recharge during floods, with precipitation and runoff identified as primary drivers influenced by ENSO.

Objective

• To develop a robust state-space model to mitigate north-south strip errors in GRACE spherical harmonic coefficient solutions.
• To apply this model to estimate the GRACE Groundwater Drought Index (GGDI) in the California Central Valley basin.
• To quantify the severity of droughts and floods and investigate the direct influences of precipitation, runoff, evaporation, anthropogenic activities, El Niño–Southern Oscillation (ENSO), and Pacific Decadal Oscillation (PDO).
• To propose a novel methodology for water resource management and disaster early warning.

Study Configuration

• Spatial Scale: California Central Valley basin.
• Temporal Scale: GRACE observation period, including specific events in 2006, 2008, and 2013; drought durations exceeding 15 months; ENSO influence over 2–3 months.

Methodology and Data

• Models used: Developed state-space model, GRACE Groundwater Drought Index (GGDI).
• Data sources: Gravity Recovery and Climate Experiment (GRACE) spherical harmonic coefficient solutions (satellite data), conventional filtering methods (for comparison), hydrological modeling schemes (for comparison), El Niño–Southern Oscillation (ENSO) data, Pacific Decadal Oscillation (PDO) data.

Main Results

• The developed state-space model provides a more robust solution compared to conventional filtering methods and hydrological modeling schemes.
• A moderate-duration flood event in 2006 led to a recharge of 19.81 km³ of water resources in the California Central Valley basin.
• Prolonged droughts in 2008 and 2013, each lasting over 15 months, resulted in groundwater depletion of 41.53 km³ and 91.45 km³, respectively.
• Precipitation and runoff are identified as the primary determinants of local drought and flood conditions.
• ENSO events correlate with sustained precipitation variations over the subsequent 2–3 months, leading to corresponding changes in groundwater storage.

Contributions

• Development of a novel state-space model for effectively mitigating GRACE north-south strip errors, yielding more robust solutions.
• Application of this enhanced GRACE data to provide a detailed quantification of groundwater changes and drought/flood severity in a critical region (California Central Valley).
• Comprehensive causal analysis of hydrological extremes, integrating climatic oscillations (ENSO, PDO) with local drivers (precipitation, runoff, evaporation, anthropogenic activities).
• Proposal of a novel methodology with direct implications for water resource management and disaster early warning systems.

Funding

Not explicitly stated in the provided text.

Citation

@article{Feng2025Enhanced,
  author = {Feng, Yong and Qian, Nijia and Tong, Qingqing and Cao, Yu and Huan, Yueyang and Zhu, Yuhua and Yang, Dehu},
  title = {Enhanced Detection of Drought Events in California’s Central Valley Basin Using Rauch–Tung–Striebel Smoothed GRACE Level-2 Data: Mechanistic Insights from Climate–Hydrology Interactions},
  journal = {Remote Sensing},
  year = {2025},
  doi = {10.3390/rs17223683},
  url = {https://doi.org/10.3390/rs17223683}
}