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@ARTICLE{2026JHyd..67735839J,
       author = {{Jadallah}, Nicholas and {Maxwell}, Reed M.},
        title = "{Model-based disaggregation of satellite-based total water storage anomalies for the Upper Colorado River Basin}",
      journal = {Journal of Hydrology},
     keywords = {Integrated hydrologic modeling, Groundwater, Groundwater-surface water interactions, GRACE, Colorado river, Upper Colorado River Basin},
         year = 2026,
        month = sep,
       volume = {677},
          eid = {135839},
        pages = {135839},
     abstract = "{This study demonstrates the capability of an integrated hydrologic model
        of the Upper Colorado River Basin to disaggregate total water
        storage anomalies into constituent parts over a 45-year
        simulation period of pre-development hydrology. The Upper
        Colorado River Basin is a critical transboundary water source
        that supports tens of millions of people in North America.
        Groundwater plays an important role in basin hydrology, but few
        methods explicitly measure or simulate groundwater at the basin
        scale. Here, we developed a physically based groundwater-surface
        water-land surface model and decomposed basin-wide water storage
        trends into constituent parts. We evaluated model output (i.e.
        streamflow, snow, evapotranspiration, and water storage) against
        a suite of observations. The simulated data match observations
        well, particularly at monthly timescales{\textemdash}which is
        the temporal resolution of GRACE. Simulated trends in subsurface
        water storage are sensitive to the initial condition, which
        required careful attention to the model's transient
        initialization process to ensure that residual trends from
        spinup did not obscure the total water storage signal. Each
        component of total water storage contributes uniquely to sub-
        annual and inter-annual trends in basin hydrology at the basin
        and subbasin scales. Here, we demonstrate that the integrated
        hydrologic model presented in this work explicitly partitions
        natural water storage trends into soil moisture and groundwater
        components, enabling improved water management strategies for
        the Upper Colorado River Basin.}",
          doi = {10.1016/j.jhydrol.2026.135839},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67735839J},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}