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Insights into hydrological drought characteristics using GNSS-inferred large-scale terrestrial water storage deficits

Jiang, Zhongshan, Hsu, Ya-Ju, Yuan, Linguo, Cheng, Shuai, Feng, Wei, Tang, Miao, and Yang, Xinghai, 2022. Insights into hydrological drought characteristics using GNSS-inferred large-scale terrestrial water storage deficits. Earth and Planetary Science Letters, 578:117294, doi:10.1016/j.epsl.2021.117294.

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BibTeX

@ARTICLE{2022EPSL.57817294J,
       author = {{Jiang}, Zhongshan and {Hsu}, Ya-Ju and {Yuan}, Linguo and {Cheng}, Shuai and {Feng}, Wei and {Tang}, Miao and {Yang}, Xinghai},
        title = "{Insights into hydrological drought characteristics using GNSS-inferred large-scale terrestrial water storage deficits}",
      journal = {Earth and Planetary Science Letters},
     keywords = {GNSS, Slepian basis functions, terrestrial water storage, seasonal water oscillations, drought characterization},
         year = 2022,
        month = jan,
       volume = {578},
          eid = {117294},
        pages = {117294},
          doi = {10.1016/j.epsl.2021.117294},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022E&PSL.57817294J},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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