Publications related to the GRACE Missions (no abstracts)

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Enhancing monitoring ability for extreme disasters in North China using a novel hydrometeorology-combined drought–flood severity index

Feng, Tengfei, Shen, Yunzhong, Wang, Fengwei, Chen, Jianli, Liu, Bin, and Rao, Weilong, 2025. Enhancing monitoring ability for extreme disasters in North China using a novel hydrometeorology-combined drought–flood severity index. Journal of Hydrology, 663:134206, doi:10.1016/j.jhydrol.2025.134206.

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@ARTICLE{2025JHyd..66334206F,
       author = {{Feng}, Tengfei and {Shen}, Yunzhong and {Wang}, Fengwei and {Chen}, Jianli and {Liu}, Bin and {Rao}, Weilong},
        title = "{Enhancing monitoring ability for extreme disasters in North China using a novel hydrometeorology-combined drought{\textendash}flood severity index}",
      journal = {Journal of Hydrology},
     keywords = {GRACE, Drought and flood events, HDSI, Terrestrial water storage, Precipitation},
         year = 2025,
        month = dec,
       volume = {663},
          eid = {134206},
        pages = {134206},
     abstract = "{The heterogeneous triggering conditions of droughts and floods make it
        difficult for existing monitoring indices to balance the
        detection of extreme drought and flood events. To overcome this
        limitation, a hydrometeorology-combined drought-flood severity
        index (HDSI) is developed by integrating GRACE-based terrestrial
        water storage (TWS) and precipitation, and the time lag effect
        between two elements is reasonably handled using a weighting
        potential water storage model. The performance of the HDSI is
        evaluated in a typical ecologically fragile region: North China.
        The results show that the HDSI exhibits favorable spatial and
        temporal consistency compared with four commonly used indices,
        implying the effectiveness of the HDSI. With real-documented
        extreme events as benchmarks, the HDSI demonstrates significant
        accuracy superiority over the TWS-based monitoring index in
        capturing flood peak periods and outperforms indices based
        solely on meteorological elements in identifying drought
        intensity, which contributes to more profound understanding of
        extreme disasters under the combined impacts of turbulent
        climate change and intensive anthropogenic interference.
        Moreover, detailed investigations on two representative drought
        and flood events confirm that the HDSI can not only accurately
        identify the intensifying drought severity induced by water
        storage deficits in the context of reduced precipitation and
        growing water use, but also provide timely feedback in the case
        of emergency flooding due to increased precipitation; thus, it
        is an important complement to extreme disaster monitoring and
        early warning systems and can aid in facilitating rational
        disaster preparedness and decision-making.}",
          doi = {10.1016/j.jhydrol.2025.134206},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025JHyd..66334206F},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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