Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...
Data assimilation lies at the heart of numerical weather prediction, enabling the integration of observational data with dynamic atmospheric models to produce more accurate initial conditions and ...
High Mountain Asia Daily Reach-Scale River Discharge using Data Assimilation, 2004-2019, Version 1 is now available at the NASA National Snow and Ice Data Center Distributed Active Archive Center ...
In 2017, Hurricane Harvey stalled after making landfall over coastal Texas, pouring down record rainfall, flooding communities and becoming one of the wettest and most destructive storms in United ...
Clockwise from top left: Images of the 2020 Midwest Derecho from radar and microwave satellite observations show similar patterns, which are obscured in infrared brightness satellite observations. A ...
Understanding Earth's climatic past is essential for predicting future scenarios. In a recent review published in Science China Earth Sciences, Mingsong Li and his colleagues from Peking University ...
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