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Development of high–resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models

Tao, Hai, Al–Sulttani, Ahmed H., Salih, Sinan Q., Mohammed, Mustafa K. A., Khan, Mohammad Amir, Beyaztas, Beste Hamiye, Ali, Mumtaz, Elsayed, Salah, Shahid, Shamsuddin, and Yaseen, Zaher Mundher, 2023. Development of high–resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models. Atmospheric Research, 291:106815, doi:10.1016/j.atmosres.2023.106815.

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BibTeX

@ARTICLE{2023AtmRe.29106815T,
       author = {{Tao}, Hai and {Al-Sulttani}, Ahmed H. and {Salih}, Sinan Q. and {Mohammed}, Mustafa K.~A. and {Khan}, Mohammad Amir and {Beyaztas}, Beste Hamiye and {Ali}, Mumtaz and {Elsayed}, Salah and {Shahid}, Shamsuddin and {Yaseen}, Zaher Mundher},
        title = "{Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models}",
      journal = {Atmospheric Research},
     keywords = {Water equivalence data, Downscaling, GRACE, ERA5, Machine learning},
         year = 2023,
        month = aug,
       volume = {291},
          eid = {106815},
        pages = {106815},
          doi = {10.1016/j.atmosres.2023.106815},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023AtmRe.29106815T},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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