A method for predicting the uncompleted climate transition process
Pengcheng Yan et al.
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Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: TheoryA methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspectiveStatistical postprocessing of ensemble forecasts for severe weather at Deutscher WetterdienstAn Early Warning Sign of Critical Transition in The Antarctic Ice Sheet – A New Data Driven Tool for Spatiotemporal Tipping PointCorrecting for model changes in statistical postprocessing – an approach based on response theoryBrief communication: Residence time of energy in the atmosphere
Nonlin. Processes Geophys., 28, 1–22,2021
Nonlin. Processes Geophys., 27, 473–487,2020
Nonlin. Processes Geophys. Discuss.,2020
Revised manuscript accepted for NPG
Nonlin. Processes Geophys., 27, 307–327,2020
Nonlin. Processes Geophys., 27, 235–237,2020
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