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Retrieving snow water equivalent from GRACE/GRACE-FO terrestrial water storage anomalies using modified spectral combination theory

Fatolazadeh, Farzam, Wang, Shusen, Eshagh, Mehdi, and Go\"ıta, Kalifa, 2025. Retrieving snow water equivalent from GRACE/GRACE-FO terrestrial water storage anomalies using modified spectral combination theory. Journal of Hydrology, 661:133754, doi:10.1016/j.jhydrol.2025.133754.

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BibTeX

@ARTICLE{2025JHyd..66133754F,
       author = {{Fatolazadeh}, Farzam and {Wang}, Shusen and {Eshagh}, Mehdi and {Go{\"\i}ta}, Kalifa},
        title = "{Retrieving snow water equivalent from GRACE/GRACE-FO terrestrial water storage anomalies using modified spectral combination theory}",
      journal = {Journal of Hydrology},
     keywords = {Modified spectral combination, GRACE/GRACE-FO, SWE variations, Canadian basins},
         year = 2025,
        month = nov,
       volume = {661},
          eid = {133754},
        pages = {133754},
     abstract = "{Snow Water Equivalent (SWE) refers to the quantity of water contained
        within the snowpack, which is a critical component of the
        seasonal water cycle in cold regions, notably Canada. The
        Gravity Recovery and Climate Experiment (GRACE) mission
        primarily focuses on quantifying Terrestrial Water Storage
        Anomalies (TWSA), which is the sum of anomalies in groundwater,
        soil moisture, surface water, and snow/ice. Separating the
        individual components with high precision is a challenging task
        due to the complex interactions of these parameters and their
        uncertainties involved. This study proposes an enhanced
        estimator which is modified based on the spectral combination
        theory, to extract the SWE component from GRACE/GRACE-FO
        (Follow-On) TWS measurements. This estimator uses a hydrological
        model and its uncertainty to optimally extract the SWE component
        from the GRACE monthly models in spectral domain. The approach
        was applied in eight selected basins across Canada, covering a
        diverse range of climatic and geographical conditions. Different
        winter seasons of each basin were considered, including the peak
        accumulation and ablation phases of the snowpack, from January
        2003 to the end of 2022. Among the basins examined, the Fraser-
        Lower Mainland and Ottawa basins exhibited the most pronounced
        seasonal variations in SWE, with maximum value of about 200 mm.
        In contrast, the Saint John-St basin demonstrated the lowest SWE
        variability, with maximum amount of 50 mm. All the studied
        basins across Canada except for Okanagan-Similkameen basin and
        Saint John-St basin displayed a positive trend in SWE. The
        results from the proposed approach were compared to the SWE
        component derived from Canadian Historical Snow Water Equivalent
        dataset (CanSWE), Canadian Meteorological Centre (CMC), and
        GlobSnow. Varying levels of agreement were found depending on
        the basins (correlations between r = 0.40 and r = 0.83, and RMSE
        between 10 mm and 55 mm). The best agreements were found with
        CMC and CanSWE products. The inclusion of streamflow component
        highlighted the relationship between maximum SWE and the peak
        flow. The results found indicate significant correlations
        between SWE derived from our modified spectral combination
        approach and peak flow in several basins (r varying from 0.42 to
        0.80); thus emphasizing the critical role of snowmelt in
        influencing peak flows in the basins.}",
          doi = {10.1016/j.jhydrol.2025.133754},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025JHyd..66133754F},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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