Publications related to the GRACE Missions (no abstracts)

• Sorted by Date • Sorted by Last Name of First Author •

Distributed Hydrological Modeling With Physics-Encoded Deep Learning: A General Framework and Its Application in the Amazon

Wang, Chao, Jiang, Shijie, Zheng, Yi, Han, Feng, Kumar, Rohini, Rakovec, Oldrich, and Li, Siqi, 2024. Distributed Hydrological Modeling With Physics-Encoded Deep Learning: A General Framework and Its Application in the Amazon. Water Resources Research, 60(4):e2023WR036170, doi:10.1029/2023WR036170.

Downloads

• from the NASA Astrophysics Data System  • by the DOI System  •

@ARTICLE{2024WRR....6036170W,
       author = {{Wang}, Chao and {Jiang}, Shijie and {Zheng}, Yi and {Han}, Feng and {Kumar}, Rohini and {Rakovec}, Oldrich and {Li}, Siqi},
        title = "{Distributed Hydrological Modeling With Physics-Encoded Deep Learning: A General Framework and Its Application in the Amazon}",
      journal = {Water Resources Research},
     keywords = {deep learning, distributed hydrological model, artificial intelligence, Amazon, GRACE, machine learning},
         year = 2024,
        month = apr,
       volume = {60},
       number = {4},
          eid = {e2023WR036170},
        pages = {e2023WR036170},
          doi = {10.1029/2023WR036170},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024WRR....6036170W},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Generated by bib2html_grace.pl (written by Patrick Riley modified for this page by Volker Klemann) on Mon Oct 13, 2025 16:16:48

---

Mon Oct 13, F. Flechtner