Articles | Volume 27, issue 3
https://doi.org/10.5194/npg-27-411-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.Special issue:
Beyond univariate calibration: verifying spatial structure in ensembles of forecast fields
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Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Theory
Superstatistical analysis of sea surface currents in the Gulf of Trieste, measured by high-frequency radar, and its relation to wind regimes using the maximum-entropy principle
Physically constrained covariance inflation from location uncertainty
A waveform skewness index for measuring time series nonlinearity and its applications to the ENSO–Indian monsoon relationship
Empirical evidence of a fluctuation theorem for the wind mechanical power input into the ocean
Nonlin. Processes Geophys., 30, 515–525,
2023Nonlin. Processes Geophys., 30, 237–251,
2023Nonlin. Processes Geophys., 29, 1–15,
2022Nonlin. Processes Geophys., 28, 371–378,
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