Publications related to the GRACE Missions (no abstracts)

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A study of the relationship between GRACE-TWSA and large-scale atmospheric-oceanic patterns

Vaheddoost, Babak and Mohammadi, Babak, 2025. A study of the relationship between GRACE-TWSA and large-scale atmospheric-oceanic patterns. Hydrological Sciences Journal, 70(13):2401–2415, doi:10.1080/02626667.2025.2537851.

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@ARTICLE{2025HydSJ..70.2401V,
       author = {{Vaheddoost}, Babak and {Mohammadi}, Babak},
        title = "{A study of the relationship between GRACE-TWSA and large-scale atmospheric-oceanic patterns}",
      journal = {Hydrological Sciences Journal},
     keywords = {Climatic oscillation, principal component analyses, remote sensing, wavelet coherent transform},
         year = 2025,
        month = oct,
       volume = {70},
       number = {13},
        pages = {2401-2415},
     abstract = "{This study aims to investigate the connections between changes in the
        Total Water Storage Anomaly (TWSA) associated with 12
        continental/subcontinental regions derived from the Gravity
        Recovery and Climate Experiment (GRACE) satellite and 25
        different Large-Scale Climate Oscillation Indices (LSCOI).
        Initially, correlation analyses were performed and then the
        principal component analyses together with wavelet coherent
        transform were employed in the analyses. The results explain
        over 50\% of TWSA variability, with the Pacific and Indian
        Oceans exerting strong influence. While Southern Hemisphere
        regions display consistent long-term relationships with LSCOI
        patterns, the Northern Hemisphere exhibits more complex
        dynamics, including trade-offs between leading and lagging
        effects and in-phase versus anti-phase states. Random Forest and
        M5 Tree models were then applied using high-correlation LSCOIs
        as predictors for regional TWSAs. Results of models confirmed
        the robustness of the identified teleconnections and
        demonstrated the potential for predicting regional water storage
        anomalies using climate oscillation indices.}",
          doi = {10.1080/02626667.2025.2537851},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025HydSJ..70.2401V},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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