Long-range correlation in the drought and flood index from 1470 to 2000 in eastern China

He, Wenping; Zhao, Shanshan; Liu, Qunqun; Jiang, Yundi; Bei-Sheng, None Deng

doi:10.1002/joc.4450

Cited by 26 publications

(14 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the planet warms, global average rainfall increases, but so does AE. Many regions will get more rain, but it appears that few will get enough to keep pace with the growing evaporative demand (Dai, ; Feng & Fu, ; He et al, ; Sheffield et al, ). Meanwhile, changes in AE will also modulate the climate by reducing the transport of sensible heat arising from radiative energy fluxes (Wang & Dickinson, ).…”

Section: Introductionmentioning

confidence: 99%

Temporal Characteristics of Actual Evapotranspiration Over China Under Global Warming

Feng

et al. 2018

JGR Atmospheres

View full text Add to dashboard Cite

In this study, an assessment is made of the trends of actual evapotranspiration (AE) over China under global warming from an ensemble of the following data sets: National Centers for Environmental Prediction‐National Center for Atmospheric Research reanalysis I, National Centers for Environmental Prediction‐Department of Energy reanalysis II, Modern‐Era Retrospective Analysis for Research and Applications (MERRA), MERRA Version 2, European Centre for Medium‐Range Weather Forecasts Interim Re‐Analysis, and Japanese 55‐year Reanalysis. For China as a whole, annual AE exhibited a significant increasing trend from 1979 to 2015, and the rate of increase was highest in autumn and lowest in summer. By subdividing China into six climatic regions using the aridity index, significant increasing trends in AE are found over the hyperarid, arid, and humid regions, but slightly decrease over the dry subhumid and subhumid regions. For the hyperarid and arid regions, the increases in potential evapotranspiration and the water supply from melting glaciers due to both climate warming and human activities might be the main contributors to the AE increases. An increase in potential evapotranspiration driven by global warming is the main cause of the increased AE over the humid region. On a seasonal basis, most AE over China occurs in summer. However, increasing AE trends have been observed mainly in autumn and winter, and the increase is statistically significant over all of China's six climatic regions in winter. In view of data availability, reanalyses are compared with the results from Mezentsev‐Choudhury‐Yang equation (AE_Budyko). The correlations between individual reanalyses and AE_Budyko tend to be higher over the arid region.

show abstract

Section: Introductionmentioning

confidence: 99%

Temporal Characteristics of Actual Evapotranspiration Over China Under Global Warming

Feng

et al. 2018

JGR Atmospheres

View full text Add to dashboard Cite

show abstract

“…Thus, DFA has been used in economics [5], stock markets [6], biomedical signals [7], DNA analysis [8], social and natural phenomena [9][10][11], etc. In the atmospheric sciences DFA has also been applied widely to time series of air temperature [12][13][14][15][16], relative humidity [17,18], precipitation [19], drought and flood index [20], ozone [21][22][23][24] and many others. In cases of highly non-linear time series with periodic trends, [25] proposed a variation of DFA (i.e., detrended cross-correlation fluctuation analysis).…”

Section: Introductionmentioning

confidence: 99%

Distribution of Air Temperature Multifractal Characteristics Over Greece

et al. 2019

View full text Add to dashboard Cite

In this study, Multifractal Detrended Fluctuation Analysis (MF-DFA) is applied to daily temperature time series (mean, maximum and minimum values) from 22 Greek meteorological stations with the purpose of examining firstly their scaling behavior and then checking if there are any differences in their multifractal characteristics. The results showed that the behavior is the same at almost all stations, i.e., time series are positive long-term correlated and their multifractal structure is insensitive to local fluctuations with large magnitude. Moreover, this study deals with the spatial distribution of the main characteristics of multifractal (singularity) spectrum: the dominant Hurst exponent, the width of the spectrum, the asymmetry and the truncation type of the spectrum. The spatial distributions are discussed in terms of possible effects from various climatic features. In general, local atmospheric circulation and weather conditions are found to affect the shape of the spectrum and the corresponding spatial distributions. Furthermore, the intercorrelation of the main multifractal spectrum parameters resulted in a well-defined group of stations sharing similar multifractal characteristics. The results indicate the usefulness of the non-linear analysis in climate research due to the complex interactions among the natural processes.

show abstract

“…A great number of studies have applied DFA successfully to meteorological time series. More specifically, DFA has been used in the study of climate for temperature time series [17][18][19][20][21][22], relative humidity [23,24], precipitation amount [25], drought and flood indices [26], ozone data [27][28][29][30], incident flux of solar radiation [31], examining the variability of the atmosphere for a very wide temporal range [32], and the North Atlantic Oscillation [33], among others.…”

Section: Introductionmentioning

confidence: 99%

Multifractal Detrended Fluctuation Analysis of Temperature Reanalysis Data over Greece

et al. 2019

View full text Add to dashboard Cite

The Multifractal Detrended Fluctuation Analysis (MF-DFA) is used to examine the scaling behavior and the multifractal characteristics of the mean daily temperature time series of the ERA-Interim reanalysis data for a domain centered over Greece. The results showed that the time series from all grid points exhibit the same behavior: they have a positive long-term correlation and their multifractal structure is insensitive to local fluctuations with a large magnitude. Special emphasis was given to the spatial distribution of the main characteristics of the multifractal spectrum: the value of the Hölder exponent, the spectral width, the asymmetry, and the truncation type of the spectra. The most interesting finding is that the spatial distribution of almost all spectral parameters is decisively determined by the land-sea distribution. The results could be useful in climate research for examining the reproducibility of the nonlinear dynamics of reanalysis datasets and model outputs.

show abstract

Long-range correlation in the drought and flood index from 1470 to 2000 in eastern China

Cited by 26 publications

References 26 publications

Temporal Characteristics of Actual Evapotranspiration Over China Under Global Warming

Temporal Characteristics of Actual Evapotranspiration Over China Under Global Warming

Distribution of Air Temperature Multifractal Characteristics Over Greece

Multifractal Detrended Fluctuation Analysis of Temperature Reanalysis Data over Greece

Contact Info

Product

Resources

About