• Sorted by Date • Sorted by Last Name of First Author •
Foroumandi, Ehsan, Nourani, Vahid, Jeanne Huang, Jinhui, and Moradkhani, Hamid, 2023. Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: A deep learning approach. Journal of Hydrology, 616:128838, doi:10.1016/j.jhydrol.2022.128838.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2023JHyd..61628838F, author = {{Foroumandi}, Ehsan and {Nourani}, Vahid and {Jeanne Huang}, Jinhui and {Moradkhani}, Hamid}, title = "{Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: A deep learning approach}", journal = {Journal of Hydrology}, keywords = {GRACE, Remote sensing, Deep learning, Convolutional Long Short-Term Memory (ConvLSTM), Drought, Iran}, year = 2023, month = jan, volume = {616}, eid = {128838}, pages = {128838}, doi = {10.1016/j.jhydrol.2022.128838}, adsurl = {https://ui.adsabs.harvard.edu/abs/2023JHyd..61628838F}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }
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