@COMMENT This file was generated by bib2html_grace.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <https://sourceforge.net/users/patstg/>
@COMMENT This file was prepared using the NASA Astrophysics Data System (ADS)
@COMMENT https://ui.adsabs.harvard.edu/
@ARTICLE{2026RemS...18.1811P,
       author = {{Park}, Heejun and {Hwang}, Seokhwan and {Yoon}, Jung Soo and {Kang}, Narae and {Lee}, Sujong},
        title = "{High-Resolution Daily Groundwater Storage Estimation over the Korean Peninsula via GRACE--GLDAS Integration}",
      journal = {Remote Sensing},
     keywords = {GRACE/GRACE-FO, GLDAS-CLSM, groundwater storage, temporal disaggregation, drought propagation, anthropogenic abstraction, Korean Peninsula},
         year = 2026,
        month = jun,
       volume = {18},
       number = {11},
          eid = {1811},
        pages = {1811},
     abstract = "{By integrating GRACE and GLDAS, we reconstruct a high-resolution daily
        groundwater storage anomaly (GWSA) time series for the Korean
        Peninsula from 2002 to 2025. The framework demonstrates strong
        agreement with in situ groundwater observations and effectively
        captures sub-monthly variability, including extreme drought-
        driven depletion events. What are the main findings? The
        GRACE--GLDAS fusion reconstructs daily GWSA (2002--2025) with
        strong agreement with in situ groundwater levels (up to 0.72
        after deseasonalization). During the 2013--2015 drought, the
        framework accurately reproduces groundwater depletion dynamics
        driven by both climate and anthropogenic activity. The
        GRACE--GLDAS fusion reconstructs daily GWSA (2002--2025) with
        strong agreement with in situ groundwater levels (up to 0.72
        after deseasonalization). During the 2013--2015 drought, the
        framework accurately reproduces groundwater depletion dynamics
        driven by both climate and anthropogenic activity. What is the
        implication of the main finding? The 22-year daily GWSA record
        overcomes GRACE's traditional limitation, enabling high-
        frequency groundwater monitoring. This framework can be applied
        to other data-sparse regions to enhance regional-scale
        hydrological monitoring. The 22-year daily GWSA record overcomes
        GRACE's traditional limitation, enabling high-frequency
        groundwater monitoring. This framework can be applied to other
        data-sparse regions to enhance regional-scale hydrological
        monitoring. Quantifying changes in groundwater storage (GWS)
        remains a fundamental challenge in hydrology, given the sparsity
        of long-term in situ monitoring networks and the inherent
        difficulty of direct subsurface observation. Although GRACE and
        GRACE-FO satellite missions provide a means of tracking total
        terrestrial water storage at the continental scale, their coarse
        spatial resolution (\raisebox{-0.5ex}\textasciitilde300 km) and
        monthly temporal sampling limit their direct applicability to
        regional groundwater studies. Here, we present a spatio-temporal
        disaggregation and data fusion framework for reconstructing
        daily GWS anomalies (GWSAs) across the Korean Peninsula,
        integrating GRACE/GRACE-FO Mascon solutions with the GLDAS
        Catchment Land Surface Model (CLSM). The approach leverages
        satellite-derived mass variations to constrain the model's long-
        term anomaly structure while retaining the high-frequency
        temporal dynamics of land-surface modeling. The framework is
        evaluated against in situ bedrock monitoring well records from
        five sites: Seoul, Cheongyang, Uiseong, Imsil, and Wonju. Raw
        time-series correlations range from R = 0.14 to 0.70; upon
        removal of the monthly climatology to isolate non-seasonal
        variability, R improves to 0.49--0.72 across all sites, reaching
        0.718 in Seoul and 0.707 in Cheongyang, with Cheongyang's RMSE
        declining from 8.847 to 7.574 cm. These results indicate that
        the GRACE-CLSM fusion framework captures genuine sub-monthly
        groundwater dynamics beyond the dominant seasonal cycle. To our
        knowledge, this represents the first reconstruction of daily GWS
        changes for the Korean Peninsula with explicit preservation of
        spatial mass conservation, and the resulting dataset has direct
        utility for operational groundwater monitoring in a region
        subject to hydroclimatic variability.}",
          doi = {10.3390/rs18111811},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026RemS...18.1811P},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}