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Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap
Research article (Journal of Hydrology, 2021) · cited 100× · AI/ML
Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap
Summary
Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap is a scholarly article[1].
Key Facts
Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-convolutional-neural-networks-for-predicting-the-terrestrial-water-storage-anomalies-during-grace-and-grace-fo-
MLA“Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-convolutional-neural-networks-for-predicting-the-terrestrial-water-storage-anomalies-during-grace-and-grace-fo-.
BibTeX@misc{4ortxyz_bayesian-convolutional-neural-networks-for-predicting-the-terrestrial-water-storage-anomalies-during-grace-and-grace-fo-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-convolutional-neural-networks-for-predicting-the-terrestrial-water-storage-anomalies-during-grace-and-grace-fo-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap — https://4ort.xyz/entity/bayesian-convolutional-neural-networks-for-predicting-the-terrestrial-water-storage-anomalies-during-grace-and-grace-fo- (retrieved 2026-05-24)
