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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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