• 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}
}
Generated by
bib2html_grace.pl
(written by Patrick Riley
modified for this page by Volker Klemann) on
Mon Oct 13, 2025 16:16:45
GRACE-FO
Mon Oct 13, F. Flechtner![]()