10 Jan 2022
Research article | 10 Jan 2022
A waveform skewness index for measuring time series nonlinearity and its applications to the ENSO–Indian monsoon relationship
Justin Schulte et al.
Related subject area
Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: TheoryEmpirical evidence of a fluctuation theorem for the wind mechanical power input into the oceanBeyond univariate calibration: verifying spatial structure in ensembles of forecast fieldsVertical profiles of wind gust statistics from a regional reanalysis using multivariate extreme value theoryOn fluctuating momentum exchange in idealised models of air–sea interaction
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