Dataset Information

The causality from solar irradiation to ocean heat content detected via multi-scale Liang-Kleeman information flow.

ABSTRACT: Solar irradiation is the primary driving force for the Earth's climate system. However, we are still short of powerful tools to study the variability of the Earth's climate due to the solar activity. Here we apply the Liang-Kleeman information flow to quantify the causality from Total Solar Irradiance (TSI) to the global ocean heat content anomaly (OHCA). It reveals that the information flow from TSI to OHCA varies in both time and space. We adapt the method into a multi-scale version which describes the variation of information flow on different timescales. In different ocean basins, the significant information flow from TSI to OHCA varies on different timescales, which could be several decades, much longer than the timescale of the correlation revealed by wavelet coherence. Then we calculate the information flow from TSI to the first three expansion coefficients of the OHCA Empirical Orthogonal Functions. The results indicate that TSI is a part cause of the El Niño-Southern Oscillation (ENSO) and global warming, especially in the 1970s. In the recent 40 years, the contribution of TSI to the variation of the OHCA becomes less significant probably due to the increasing influence of human activity on the climate system.

SUBMITTER: Wang G

PROVIDER: S-EPMC7553940 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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The causality from solar irradiation to ocean heat content detected via multi-scale Liang-Kleeman information flow.

Wang Gang G Zhao Chang C Zhang Min M Zhang Yuanling Y Lin Min M Qiao Fangli F

Scientific reports 20201013 1

Solar irradiation is the primary driving force for the Earth's climate system. However, we are still short of powerful tools to study the variability of the Earth's climate due to the solar activity. Here we apply the Liang-Kleeman information flow to quantify the causality from Total Solar Irradiance (TSI) to the global ocean heat content anomaly (OHCA). It reveals that the information flow from TSI to OHCA varies in both time and space. We adapt the method into a multi-scale version which desc ...[more]

PMID: 33051535

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Project description:Recent research into how musicians coordinate their expressive timing, phrasing, articulation, dynamics, and other stylistic characteristics during performances has highlighted the role of predictive processes, as musicians must anticipate how their partners will play in order to be together. Several studies have used information flow techniques such as Granger causality to show that upcoming movements of a musician can be predicted from immediate past movements of fellow musicians. Although musicians must move to play their instruments, a major goal of music making is to create a joint interpretation through the sounds they produce. Yet, information flow techniques have not been applied previously to examine the role that fellow musicians' sound output plays in these predictive processes and whether this changes as they learn to play together. In the present experiment, we asked professional violinists to play along with recordings of two folk pieces, each eight times in succession, and compared the amplitude envelopes of their performances with those of the recordings using Granger causality to measure information flow and cross-correlation to measure similarity and synchronization. In line with our hypotheses, our measure of information flow was higher from the recordings to the performances than vice versa, and decreased as the violinists became more familiar with the recordings over trials. This decline in information flow is consistent with a gradual shift from relying on auditory cues to predict the recording to relying on an internally-based (learned) model built through repetition. There was also evidence that violinists became more synchronized with the recordings over trials. These results shed light on the planning and learning processes involved in the aligning of expressive intentions in group music performance and lay the groundwork for the application of Granger causality to investigate information flow through sound in more complex musical interactions.

Dataset Information

The causality from solar irradiation to ocean heat content detected via multi-scale Liang-Kleeman information flow.

Publications

The causality from solar irradiation to ocean heat content detected via multi-scale Liang-Kleeman information flow.

Similar Datasets

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