Data assimilation techniques have become critical tools for merging observational data with numerical models, thereby enhancing the accuracy and reliability of geoscientific forecasts. These methods ...
As the final course in the Applied Kalman Filtering specialization, you will learn how to develop the particle filter for solving strongly nonlinear state-estimation problems. You will learn about the ...
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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