Zuntao Fu
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View article: Paenibacillus hubeiensis sp. nov.: A Novel Selenium-Resistant Bacterium Isolated from the Rhizosphere of Galinsoga parviflora in a Selenium-Rich Region of Enshi, Hubei Province
Paenibacillus hubeiensis sp. nov.: A Novel Selenium-Resistant Bacterium Isolated from the Rhizosphere of Galinsoga parviflora in a Selenium-Rich Region of Enshi, Hubei Province Open
ES5-4T, a Gram-positive, motile, aerobic, and rod-shaped strain, was isolated from the rhizosphere of Galinsoga parviflora growing in the selenium-rich ore area of Enshi, Hubei Province, China. This strain can grow at pH levels of 5.0–10.0…
View article: European compound flood-heat-flood events associated with Omega patterns cannot be easily reproduced by a fully coupled model
European compound flood-heat-flood events associated with Omega patterns cannot be easily reproduced by a fully coupled model Open
In September 2023, a spatially compounding event affected Europe, with an intense heatwave over northern France and nearly simultaneous extreme floods over the Iberian Peninsula and Greece. These extremes were accompanied by a low-high-low…
View article: <em>Paenibacillus hubeiensis</em> sp. nov., a New Selenium-Resistant Bacterium Isolated from the Rhizosphere of <em>Galinsoga parviflora</em> in a Selenium-Rich Area of Enshi, Hubei Province
<em>Paenibacillus hubeiensis</em> sp. nov., a New Selenium-Resistant Bacterium Isolated from the Rhizosphere of <em>Galinsoga parviflora</em> in a Selenium-Rich Area of Enshi, Hubei Province Open
A Gram-stain-positive, motile, aerobic, rod-shaped strain ES5-4T was isolated from the rhizosphere of Galinsoga parviflora growing in the selenium-rich ore area of Enshi, Hubei Province, China. This strain could grow at pH 5.0–10.0 and 4–4…
View article: Adaptive Volatility Analysis: An Integrated ATR Model for Dynamic Market Conditions
Adaptive Volatility Analysis: An Integrated ATR Model for Dynamic Market Conditions Open
This paper introduces an enhanced Integrated Average True Range (ATR) model for volatility analysis, addressing the limitations of the traditional ATR in responding to dynamic market conditions. Using EUR/USD Forex market data from 2022 to…
View article: Analysis of Fractal Properties of Atmospheric Turbulence and the Practical Applications
Analysis of Fractal Properties of Atmospheric Turbulence and the Practical Applications Open
Atmospheric turbulence, recognized as a quintessential space–time chaotic system, can be characterized by its fractal properties. The characteristics of the time series of multiple orders of fractal dimensions, together with their relation…
View article: On the persistence and related mechanisms for day–night compound humid heat extremes in the Northern Hemisphere
On the persistence and related mechanisms for day–night compound humid heat extremes in the Northern Hemisphere Open
Hot extremes pose adverse impacts on human health and ecosystem, leading to aggravated damage when they combine high-humidity and occur in the both daytime and nighttime. Although considerable studies have focused on hot extremes, understa…
View article: Fractional Integral Statistical Model: A new way for climate prediction and projection from the perspective of scaling
Fractional Integral Statistical Model: A new way for climate prediction and projection from the perspective of scaling Open
It is well recognized that climate memory is one the origins for climate predictability, but how to include the concept of climate memory into the climate prediction, is still an open question. Here in this work, we suggest the Fractional …
View article: Regional coupled and decoupled day-night compound hot extremes over the mid-lower reaches of the Yangtze River: characteristics and mechanisms
Regional coupled and decoupled day-night compound hot extremes over the mid-lower reaches of the Yangtze River: characteristics and mechanisms Open
Hot extremes impose severe effects on human health and the ecosystem, especially when high-temperature extremes sequentially occur in both daytime and nighttime within 1 day, known as Compound Hot Extremes (CHEs). Although a number of stud…
View article: A comparison between Reservoir Computing with Recurrent Analogs in predicting dynamical systems
A comparison between Reservoir Computing with Recurrent Analogs in predicting dynamical systems Open
Reservoir computer (RC) is an attractive neural computing framework that can well predict the dynamics of nonlinear systems, which is promissing to address the nonlinear nature of climatic time series. While in dynamical systems theory, es…
View article: Estimating prediction horizon of reservoir computer on L63 system when observed variables are incomplete
Estimating prediction horizon of reservoir computer on L63 system when observed variables are incomplete Open
Reservoir computer (RC) is an attractive neural computing framework that can well predict the dynamics of chaotic systems. Previous knowledge of the RC performance is established on the case that all variables in a chaotic system are compl…
View article: Quasi-global Convection-permitting Simulations of Tidally Locked Rocky Planets
Quasi-global Convection-permitting Simulations of Tidally Locked Rocky Planets Open
This dataset contains the daily output files used in the article "Quasi-global Convection-permitting Simulations of Tidally Locked Rocky Planets". In this project, we use a cloud resolving model to simulate the atmospheric circulation on T…
View article: The Role of Semiannual Cycle in Modulating Seasonality Changes of Surface Air Temperature over China and its Mechanism
The Role of Semiannual Cycle in Modulating Seasonality Changes of Surface Air Temperature over China and its Mechanism Open
Taking the semiannual cycle of surface air temperature (SAT) into account in fitting the finer structure of the seasonal cycle, this study reveals the specific role of the semiannual cycle in modulating variations of the season onsets and …
View article: The impact of long-term memory on the climate response to greenhouse gas emissions
The impact of long-term memory on the climate response to greenhouse gas emissions Open
Global warming exerts a strong impact on the Earth system. Despite recent progress, Earth System Models still project a large range of possible warming levels. Here we employ a generalized stochastic climate model to derive a response oper…
View article: A Dynamical Systems Perspective to Characterize the El Niño Diversity in Spatiotemporal Patterns
A Dynamical Systems Perspective to Characterize the El Niño Diversity in Spatiotemporal Patterns Open
El Niño is the long-lasting anomalous warming of sea surface temperature (SST) and surface air temperature (SAT) over the tropical Pacific. Each El Niño event has its unique impact on the overlaying atmosphere, where the warming exhibits d…
View article: Regional compound humidity-heat extremes in the mid-lower reaches of the Yangtze River: a dynamical systems perspective
Regional compound humidity-heat extremes in the mid-lower reaches of the Yangtze River: a dynamical systems perspective Open
Heat extremes including heatwaves have an adverse impact not only on ecosystems but also on human health. The impact can be seriously exacerbated when both spatial extension and compound factors (such as humidity) are included. However, a …
View article: The changing extreme values of summer relative humidity in the Tarim Basin in northwestern China
The changing extreme values of summer relative humidity in the Tarim Basin in northwestern China Open
Relative Humidity (RH) in the arid region of the Tarim Basin is crucial for many reasons. The Tarim Basin has experienced a tendency to become wetter in recent decades, and the RH there also shows an increase over the past decade. However,…
View article: On the Air‐Sea Couplings Over Tropical Pacific: An Instantaneous Coupling Index Using Dynamical Systems Metrics
On the Air‐Sea Couplings Over Tropical Pacific: An Instantaneous Coupling Index Using Dynamical Systems Metrics Open
Sea surface temperature (SST) anomalies over the tropical Pacific, such as El Niño‐Southern Oscillation (ENSO) events, can cause intensified air‐sea couplings and different climate impacts. Although there are quite a few indices describing…
View article: A Secular Shift of the Madden‐Julian Oscillation and Its Relation to Western Pacific Ocean Warming
A Secular Shift of the Madden‐Julian Oscillation and Its Relation to Western Pacific Ocean Warming Open
In the context of global warming, understanding changes in the Madden‐Julian Oscillation (MJO) is of great importance, because of its worldwide impact on surface weather and climate. By analyzing the temporal evolution of the phase relatio…
View article: Amplitude Modulation of Relative Humidity by Wind in Northeast China: the Formation of Variance Annual Cycle in Relative Humidity
Amplitude Modulation of Relative Humidity by Wind in Northeast China: the Formation of Variance Annual Cycle in Relative Humidity Open
Relative humidity has an important impact not only on climate change and ecosystems but also on human life. The intensity of high-frequency fluctuations in relative humidity over Northeast China shows a predominant seasonally dependent str…
View article: Evaluation of Re-analyses Over China based on the Temporal Asymmetry of Daily Temperature Variability
Evaluation of Re-analyses Over China based on the Temporal Asymmetry of Daily Temperature Variability Open
As an intrinsic feature of daily surface air temperature (SAT) variability found in station measurements, temporal asymmetry (TA) can be taken as an evaluation metric to access the quality of SAT re-analysis product. In this study, TA calc…
View article: The Changing Extreme Values of Summer Relative Humidity in the Tarim Basin in Northwestern China
The Changing Extreme Values of Summer Relative Humidity in the Tarim Basin in Northwestern China Open
Relative Humidity (RH) in the arid region of the Tarim Basin is crucial for many reasons. The Tarim Basin has experienced a tendency to become wetter in recent decades, and the RH here also shows an increase over the past decade. However, …
View article: Identifying the sources of seasonal potential predictability using Fractional Integral Statistical Model with a Variance Decomposition Method
Identifying the sources of seasonal potential predictability using Fractional Integral Statistical Model with a Variance Decomposition Method Open
<p>It is well recognized that climate predictability has three origins: (i)climate memory (inertia of the climate system) that accumulated from the historical conditions, (ii) responses to external forcings, and (iii) dynamical inter…
View article: Discrepancies in surface temperature between NCEP reanalysis data and station observations over China and their implications
Discrepancies in surface temperature between NCEP reanalysis data and station observations over China and their implications Open
Previous studies show that temporal irreversibility (TI), as an important indicator of the nonlinearity of time series, is almost uniformly overestimated in the daily air temperature anomaly series over China in NCEP reanalysis data, as co…
View article: Reconstructing coupled time series in climate systems using three kinds of machine-learning methods
Reconstructing coupled time series in climate systems using three kinds of machine-learning methods Open
Despite the great success of machine learning, its application in climate dynamics has not been well developed. One concern might be how well the trained neural networks could learn a dynamical system and what will be the potential applica…
View article: Spring onset forecast using harmonic analysis on daily mean temperature in Germany
Spring onset forecast using harmonic analysis on daily mean temperature in Germany Open
The onset of spring is crucial for planning agricultural practices and has influences on animal activities as well. It is no doubt beneficial to properly forecast spring onset in advance. In this work, we present a new method based on harm…
View article: Detecting causality from time series in a machine learning framework
Detecting causality from time series in a machine learning framework Open
Detecting causality from observational data is a challenging problem. Here, we propose a machine learning based causality approach, Reservoir Computing Causality (RCC), in order to systematically identify causal relationships between varia…