• Sorted by Date • Sorted by Last Name of First Author •
Zhou, Jingwen, Zhong, Yulong, Xiao, Cuiyu, Ji, Bing, Liu, Sulan, and Wu, Yunlong, 2025. Monitoring Significant Terrestrial Water Storage Increase From the 237 Extreme Flood Around the Haihe River Basin Using GRACE-FO and Precipitation Reconstruction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18:13267–13280, doi:10.1109/JSTARS.2025.3568893.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025IJSTA..1813267Z,
       author = {{Zhou}, Jingwen and {Zhong}, Yulong and {Xiao}, Cuiyu and {Ji}, Bing and {Liu}, Sulan and {Wu}, Yunlong},
        title = "{Monitoring Significant Terrestrial Water Storage Increase From the 237 Extreme Flood Around the Haihe River Basin Using GRACE-FO and Precipitation Reconstruction}",
      journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
     keywords = {Basin-wide extreme flood, gravity recovery and climate experiment follow-on (GRACE)-FO, Haihe river basin (HRB), rainstorm, terrestrial water storage anomalies (TWSA) reconstruction},
         year = 2025,
        month = jan,
       volume = {18},
        pages = {13267-13280},
     abstract = "{In recent years, frequent flood disasters have posed significant threats
        to human life and property. From 28 July to 1 August 2023, a
        basin-wide extreme flood occurred in the Haihe River Basin (237
        flood). The Gravity Recovery and Climate Experiment satellite
        can effectively detect the spatiotemporal characteristics of
        terrestrial water storage anomalies (TWSA) and has been widely
        used in flood disaster monitoring. However, flood events usually
        occur on a submonthly scale. This study first utilizes near-
        real-time precipitation data to illustrate the evolution of the
        237 extreme flood. We then reconstruct daily TWSA to improve the
        issues of coarse temporal resolution and data latency and
        further calculate wetness index (WI) to explore its flood
        warning. In addition, we analyze soil moisture storage anomalies
        to provide a comprehensive understanding of flood mechanisms.
        The study also compares the 2023 floods to a severe flood event
        in 2021. Results indicate that reconstructed daily TWSA
        increases by 143.43 mm in 6 days during the 237 flood,
        highlighting the high sensitivity of our approach to extreme
        events. Moreover, compared to daily runoff data, the WI
        consistently exceeds warning thresholds 23 days in advance,
        demonstrating the flood warning capability. The flood event 2021
        is characterized by long duration and large precipitation
        extremes, whereas the 2023 flood affects a wider area. This
        study provides a reference for using daily TWSA to monitor
        short-term flood events and evaluate the flood warning potential
        of WI, aiming to enhance near-real-time flood monitoring and
        support flood prevention and damage mitigation efforts.}",
          doi = {10.1109/JSTARS.2025.3568893},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025IJSTA..1813267Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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