Browsing by Subject "artificial intelligence"
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Self‐Validating Deep Learning for Recovering Terrestrial Water Storage From Gravity and Altimetry Measurements
(Geophysical Research Letters, 2020-08-28)Quantifying and monitoring terrestrial water storage (TWS) is an essential task for understanding the Earth's hydrosphere cycle, its susceptibility to climate change, and concurrent impacts for ecosystems, agriculture, and ... -
WeatherBench: A Benchmark Data Set for Data-Driven Weather Forecasting
(Journal of Advances in Modeling Earth Systems, 2020)Data-driven approaches, most prominently deep learning, have become powerful tools for prediction in many domains. A natural question to ask is whether data-driven methods could also be used to predict global weather ...