Understanding the Complexity of Temperature Dynamics in Xinjiang, China, from Multitemporal Scale and Spatial Perspectives
Based on the observed data from 51 meteorological stations during the period from 1958 to 2012 in Xinjiang, China, we investigated the complexity of temperature dynamics from the temporal and spatial perspectives by using a comprehensive approach including the correlation dimension (CD), classical s...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/259248 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832551925798666240 |
|---|---|
| author | Jianhua Xu Yaning Chen Weihong Li Zuhan Liu Chunmeng Wei Jie Tang |
| author_facet | Jianhua Xu Yaning Chen Weihong Li Zuhan Liu Chunmeng Wei Jie Tang |
| author_sort | Jianhua Xu |
| collection | DOAJ |
| description | Based on the observed data from 51 meteorological stations during the period from 1958 to 2012 in Xinjiang, China, we investigated the complexity of temperature dynamics from the temporal and spatial perspectives by using a comprehensive approach including the correlation dimension (CD), classical statistics, and geostatistics. The main conclusions are as follows (1) The integer CD values indicate that the temperature dynamics are a complex and chaotic system, which is sensitive to the initial conditions. (2) The complexity of temperature dynamics decreases along with the increase of temporal scale. To describe the temperature dynamics, at least 3 independent variables are needed at daily scale, whereas at least 2 independent variables are needed at monthly, seasonal, and annual scales. (3) The spatial patterns of CD values at different temporal scales indicate that the complex temperature dynamics are derived from the complex landform. |
| format | Article |
| id | doaj-art-0bf24a0307d04c2b898683654ae852bb |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-0bf24a0307d04c2b898683654ae852bb2025-02-03T05:59:55ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/259248259248Understanding the Complexity of Temperature Dynamics in Xinjiang, China, from Multitemporal Scale and Spatial PerspectivesJianhua Xu0Yaning Chen1Weihong Li2Zuhan Liu3Chunmeng Wei4Jie Tang5The Research Center for East-West Cooperation in China, The Key Laboratory of Geographic Information Science, Ministry of Education of PRC, East China Normal University, Shanghai 200241, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaThe Research Center for East-West Cooperation in China, The Key Laboratory of Geographic Information Science, Ministry of Education of PRC, East China Normal University, Shanghai 200241, ChinaThe Research Center for East-West Cooperation in China, The Key Laboratory of Geographic Information Science, Ministry of Education of PRC, East China Normal University, Shanghai 200241, ChinaThe Research Center for East-West Cooperation in China, The Key Laboratory of Geographic Information Science, Ministry of Education of PRC, East China Normal University, Shanghai 200241, ChinaBased on the observed data from 51 meteorological stations during the period from 1958 to 2012 in Xinjiang, China, we investigated the complexity of temperature dynamics from the temporal and spatial perspectives by using a comprehensive approach including the correlation dimension (CD), classical statistics, and geostatistics. The main conclusions are as follows (1) The integer CD values indicate that the temperature dynamics are a complex and chaotic system, which is sensitive to the initial conditions. (2) The complexity of temperature dynamics decreases along with the increase of temporal scale. To describe the temperature dynamics, at least 3 independent variables are needed at daily scale, whereas at least 2 independent variables are needed at monthly, seasonal, and annual scales. (3) The spatial patterns of CD values at different temporal scales indicate that the complex temperature dynamics are derived from the complex landform.http://dx.doi.org/10.1155/2013/259248 |
| spellingShingle | Jianhua Xu Yaning Chen Weihong Li Zuhan Liu Chunmeng Wei Jie Tang Understanding the Complexity of Temperature Dynamics in Xinjiang, China, from Multitemporal Scale and Spatial Perspectives The Scientific World Journal |
| title | Understanding the Complexity of Temperature Dynamics in Xinjiang, China, from Multitemporal Scale and Spatial Perspectives |
| title_full | Understanding the Complexity of Temperature Dynamics in Xinjiang, China, from Multitemporal Scale and Spatial Perspectives |
| title_fullStr | Understanding the Complexity of Temperature Dynamics in Xinjiang, China, from Multitemporal Scale and Spatial Perspectives |
| title_full_unstemmed | Understanding the Complexity of Temperature Dynamics in Xinjiang, China, from Multitemporal Scale and Spatial Perspectives |
| title_short | Understanding the Complexity of Temperature Dynamics in Xinjiang, China, from Multitemporal Scale and Spatial Perspectives |
| title_sort | understanding the complexity of temperature dynamics in xinjiang china from multitemporal scale and spatial perspectives |
| url | http://dx.doi.org/10.1155/2013/259248 |
| work_keys_str_mv | AT jianhuaxu understandingthecomplexityoftemperaturedynamicsinxinjiangchinafrommultitemporalscaleandspatialperspectives AT yaningchen understandingthecomplexityoftemperaturedynamicsinxinjiangchinafrommultitemporalscaleandspatialperspectives AT weihongli understandingthecomplexityoftemperaturedynamicsinxinjiangchinafrommultitemporalscaleandspatialperspectives AT zuhanliu understandingthecomplexityoftemperaturedynamicsinxinjiangchinafrommultitemporalscaleandspatialperspectives AT chunmengwei understandingthecomplexityoftemperaturedynamicsinxinjiangchinafrommultitemporalscaleandspatialperspectives AT jietang understandingthecomplexityoftemperaturedynamicsinxinjiangchinafrommultitemporalscaleandspatialperspectives |