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Data Assimilation in the Low Noise Regime with Application to the Kuroshio
Publisher: American Meteorological Society
Abstract: nline data assimilation techniques such as ensemble Kalman filters and particle filters lose accuracy dramatically when presented with an unlikely observation. Such an observation may be caused by an unusually large ...
Data-Driven Transition Path Analysis Yields a Statistical Understanding of Sudden Stratospheric Warming Events in an Idealized Model
Publisher: American Meteorological Society
Learning Forecasts of Rare Stratospheric Transitions from Short Simulations
Publisher: American Meteorological Society
Data-Driven Transition Path Analysis Yields a Statistical Understanding of Sudden Stratospheric Warming Events in an Idealized Model
Publisher: American Meteorological Society