The physics of climate variability and climate change
M Ghil, V Lucarini - Reviews of Modern Physics, 2020 - APS
The climate is a forced, dissipative, nonlinear, complex, and heterogeneous system that is
out of thermodynamic equilibrium. The system exhibits natural variability on many scales of …
out of thermodynamic equilibrium. The system exhibits natural variability on many scales of …
Data-driven non-Markovian closure models
This paper has two interrelated foci:(i) obtaining stable and efficient data-driven closure
models by using a multivariate time series of partial observations from a large-dimensional …
models by using a multivariate time series of partial observations from a large-dimensional …
Improving statistical prediction and revealing nonlinearity of ENSO using observations of ocean heat content in the tropical Pacific
A Seleznev, D Mukhin - Climate Dynamics, 2023 - Springer
It is well-known that the upper ocean heat content (OHC) variability in the tropical Pacific
contains valuable information about dynamics of El Niño–Southern Oscillation (ENSO). Here …
contains valuable information about dynamics of El Niño–Southern Oscillation (ENSO). Here …
Russian climate research in 2015–2018
II Mokhov - Izvestiya, Atmospheric and Oceanic Physics, 2020 - Springer
The results of Russian studies of climate and its changes (published in 2015–2018) are
presented using a review prepared for the National Report on Meteorology and Atmospheric …
presented using a review prepared for the National Report on Meteorology and Atmospheric …
ENSO dynamics, trends, and prediction using machine learning
JD Rojo Hernández, ÓJ Mesa… - Weather and …, 2020 - journals.ametsoc.org
Abstract El Niño–Southern Oscillation (ENSO) has global effects on the hydrological cycle,
agriculture, ecosystems, health, and society. We present a novel nonhomogeneous hidden …
agriculture, ecosystems, health, and society. We present a novel nonhomogeneous hidden …
Linear dynamical modes as new variables for data-driven ENSO forecast
A new data-driven model for analysis and prediction of spatially distributed time series is
proposed. The model is based on a linear dynamical mode (LDM) decomposition of the …
proposed. The model is based on a linear dynamical mode (LDM) decomposition of the …
Tipping points induced by parameter drift in an excitable ocean model
Numerous systems in the climate sciences and elsewhere are excitable, exhibiting
coexistence of and transitions between a basic and an excited state. We examine the role of …
coexistence of and transitions between a basic and an excited state. We examine the role of …
Contributions to surface air temperature trends estimated from climate time series: Medium-term causalities
II Mokhov, DA Smirnov - Chaos: An Interdisciplinary Journal of …, 2022 - pubs.aip.org
Contributions of various natural and anthropogenic factors to trends of surface air
temperatures at different latitudes of the Northern and Southern hemispheres on various …
temperatures at different latitudes of the Northern and Southern hemispheres on various …
Generative formalism of causality quantifiers for processes
DA Smirnov - Physical Review E, 2022 - APS
The concept of dynamical causal effect (DCE) is generalized and equipped with a formalism
which allows one to formulate in a unified manner and interrelate a variety of causality …
which allows one to formulate in a unified manner and interrelate a variety of causality …
[HTML][HTML] Predicting critical transitions in ENSO models. Part II: Spatially dependent models
Predicting Critical Transitions in ENSO models. Part II: Spatially Dependent Models in:
Journal of Climate Volume 28 Issue 5 (2015) Jump to Content Jump to Main Navigation …
Journal of Climate Volume 28 Issue 5 (2015) Jump to Content Jump to Main Navigation …