Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: A deep learning approach
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference63 articles.
1. Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction;Abbaszadeh;Agricultural and Forest Meteorology,2022
2. Synergetic application of GRACE gravity data, global hydrological model, and in-situ observations to quantify water storage dynamics over Peninsular India during 2002–2017;Abhishek;Journal of Hydrology,2021
3. Multidecadal Land Water and Groundwater Drought Evaluation in Peninsular India;Abhishek;Remote Sensing,2022
4. Leveraging machine learning for predicting flash flood damage in the Southeast US;Alipour;Environmental Research Letters,2020
5. The role of land use change on the sustainability of groundwater resources in the eastern plains of Kurdistan;Amini;Iran. Environmental Monitoring and Assessment,2017
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