How do intermittency and simultaneous processes obfuscate the Arctic influence on midlatitude winter extreme weather events?
Pronounced changes in the Arctic environment add a new potential driver of anomalous
weather patterns in midlatitudes that affect billions of people. Recent studies of these …
weather patterns in midlatitudes that affect billions of people. Recent studies of these …
[图书][B] Patterns identification and data mining in weather and climate
A Hannachi - 2021 - Springer
Weather and climate is a fascinating system, which affects our daily lives, and is closely
interlinked with the environment, society and infrastructure. They have large impact on our …
interlinked with the environment, society and infrastructure. They have large impact on our …
Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method
The low-frequency variability of the extratropical atmosphere involves hemispheric-scale
recurring, often persistent, states known as teleconnection patterns or regimes, which can …
recurring, often persistent, states known as teleconnection patterns or regimes, which can …
The Summertime Pacific‐North American Weather Regimes and Their Predictability
E Nabizadeh, SW Lubis… - Geophysical Research …, 2022 - Wiley Online Library
The forecast skill of numerical weather prediction (NWP) models and the intrinsic
predictability can be different among weather regimes. Here, we examine the predictability …
predictability can be different among weather regimes. Here, we examine the predictability …
Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network
We suggest a new method for building data-driven dynamical models from observed
multidimensional time series. The method is based on a recurrent neural network with …
multidimensional time series. The method is based on a recurrent neural network with …
An atmospheric signal lowering the spring predictability barrier in statistical ENSO forecasts
The loss of autocorrelations of tropical sea surface temperatures (SST) during late spring,
also called the spring predictability barrier (SPB), is a factor that strongly limits the …
also called the spring predictability barrier (SPB), is a factor that strongly limits the …
Change and attribution of frost days and frost‐free periods in China
L Zhu, X Yan - International Journal of Climatology, 2023 - Wiley Online Library
Frost events are a climatic phenomenon of great severity, exerting profound impacts on
agricultural production and human endeavours. From 1961 to 2017, China experienced a …
agricultural production and human endeavours. From 1961 to 2017, China experienced a …
Bispectral analysis of nonlinear interaction, predictability and stochastic modelling with application to ENSO
CAL Pires, A Hannachi - Tellus A: Dynamic Meteorology and …, 2021 - Taylor & Francis
Non-Gaussianity and nonlinearity have been shown to be ubiquitous characteristics of El
Niño Southern Oscillation (ENSO) with implication on predictability, modelling, and …
Niño Southern Oscillation (ENSO) with implication on predictability, modelling, and …
Taking advantage of quasi-periodic signals for S2S operational forecast from a perspective of deep learning
Y Zhou, Q Zhao - Scientific Reports, 2023 - nature.com
The quasi-periodic signals in the earth system could be the predictability source for sub-
seasonal to seasonal (S2S) climate prediction because of the connections among the lead …
seasonal to seasonal (S2S) climate prediction because of the connections among the lead …
Bimodality of hemispheric winter atmospheric variability via average flow tendencies and kernel EOFs
A Hannachi, W Iqbal - Tellus A: Dynamic Meteorology and …, 2019 - Taylor & Francis
The topic of the existence of planetary winter circulation regimes has gone through a long
debate. This article contributes to this debate by investigating nonlinearity in a 3-level quasi …
debate. This article contributes to this debate by investigating nonlinearity in a 3-level quasi …