Long-Term Persistence in Observed Temperature and Precipitation Series
The Hurst phenomenon is regarded as an intrinsic characteristic of many natural processes closely related to high uncertainty and long-term persistence. Temperature and precipitation are the two important meteorological factors characterizing the climate conditions of different regions. Analyzing th...
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MDPI AG
2025-06-01
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| author | Huayu Zhong Yiping Guo |
| author_facet | Huayu Zhong Yiping Guo |
| author_sort | Huayu Zhong |
| collection | DOAJ |
| description | The Hurst phenomenon is regarded as an intrinsic characteristic of many natural processes closely related to high uncertainty and long-term persistence. Temperature and precipitation are the two important meteorological factors characterizing the climate conditions of different regions. Analyzing the Hurst phenomenon in precipitation and temperature are crucial for understanding the long-term dynamics of our climate system. This study examines the annual mean temperature (AMT) and annual total precipitation (ATP) series for regions across all the land areas of the world, using both gridded climate data and ground station records. The results demonstrate that, in most regions, the Hurst exponent of AMT is higher than that of ATP, particularly with larger spatial scales of averaging. Like ATP, the Hurst exponents of AMT also increase with the spatial scale of averaging. Unlike AMT, ATP is more controlled by local meteorological conditions which tend to weaken its long-term persistence. Moreover, the cumulative departure from the mean series of ATP is much more variable across different regions, whereas those of AMT for different regions are more similar. What is identified for the first time in this study is the strong similarity in the cumulative departure from the mean patterns of regionally averaged and individual stations’ ATP and AMT series over many regions of the world. At most of these regions and stations where such similarities are identified, more than half have confirmed that AMT is the Granger cause of ATP variations. Moreover, the fluctuation functions obtained in multifractal detrended cross-correlation analysis exhibit approximately linear behavior in the log–log spaces across all regions at both global and continental scales, indicating that ATP and AMT series are long-range cross-correlated. |
| format | Article |
| id | doaj-art-3731e5ef0037487581f42a2c7a94f030 |
| institution | Kabale University |
| issn | 2504-3110 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
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| series | Fractal and Fractional |
| spelling | doaj-art-3731e5ef0037487581f42a2c7a94f0302025-08-20T03:27:07ZengMDPI AGFractal and Fractional2504-31102025-06-019638510.3390/fractalfract9060385Long-Term Persistence in Observed Temperature and Precipitation SeriesHuayu Zhong0Yiping Guo1College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, ChinaDepartment of Civil Engineering, McMaster University, Hamilton, ON L8S 4L8, CanadaThe Hurst phenomenon is regarded as an intrinsic characteristic of many natural processes closely related to high uncertainty and long-term persistence. Temperature and precipitation are the two important meteorological factors characterizing the climate conditions of different regions. Analyzing the Hurst phenomenon in precipitation and temperature are crucial for understanding the long-term dynamics of our climate system. This study examines the annual mean temperature (AMT) and annual total precipitation (ATP) series for regions across all the land areas of the world, using both gridded climate data and ground station records. The results demonstrate that, in most regions, the Hurst exponent of AMT is higher than that of ATP, particularly with larger spatial scales of averaging. Like ATP, the Hurst exponents of AMT also increase with the spatial scale of averaging. Unlike AMT, ATP is more controlled by local meteorological conditions which tend to weaken its long-term persistence. Moreover, the cumulative departure from the mean series of ATP is much more variable across different regions, whereas those of AMT for different regions are more similar. What is identified for the first time in this study is the strong similarity in the cumulative departure from the mean patterns of regionally averaged and individual stations’ ATP and AMT series over many regions of the world. At most of these regions and stations where such similarities are identified, more than half have confirmed that AMT is the Granger cause of ATP variations. Moreover, the fluctuation functions obtained in multifractal detrended cross-correlation analysis exhibit approximately linear behavior in the log–log spaces across all regions at both global and continental scales, indicating that ATP and AMT series are long-range cross-correlated.https://www.mdpi.com/2504-3110/9/6/385multifractalHurst phenomenondetrended fluctuation analysiswhittle maximum likelihood estimationspatial dependencecumulative departure from the mean |
| spellingShingle | Huayu Zhong Yiping Guo Long-Term Persistence in Observed Temperature and Precipitation Series Fractal and Fractional multifractal Hurst phenomenon detrended fluctuation analysis whittle maximum likelihood estimation spatial dependence cumulative departure from the mean |
| title | Long-Term Persistence in Observed Temperature and Precipitation Series |
| title_full | Long-Term Persistence in Observed Temperature and Precipitation Series |
| title_fullStr | Long-Term Persistence in Observed Temperature and Precipitation Series |
| title_full_unstemmed | Long-Term Persistence in Observed Temperature and Precipitation Series |
| title_short | Long-Term Persistence in Observed Temperature and Precipitation Series |
| title_sort | long term persistence in observed temperature and precipitation series |
| topic | multifractal Hurst phenomenon detrended fluctuation analysis whittle maximum likelihood estimation spatial dependence cumulative departure from the mean |
| url | https://www.mdpi.com/2504-3110/9/6/385 |
| work_keys_str_mv | AT huayuzhong longtermpersistenceinobservedtemperatureandprecipitationseries AT yipingguo longtermpersistenceinobservedtemperatureandprecipitationseries |