On the Difference of Scaling Properties for Temperature and Precipitation over China
The daily air temperature and precipitation records of four meteorological observation stations over China are used to investigate the differences of scaling property employing the detrended fluctuation analysis (DFA) method. The results show that the values in DFA-exponent for temperature are highe...
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Online Access: | http://dx.doi.org/10.1155/2017/5761275 |
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doaj-d66d18f3c6da4fa69393f34760e81a462020-11-24T22:11:44ZengHindawi LimitedAdvances in Meteorology1687-93091687-93172017-01-01201710.1155/2017/57612755761275On the Difference of Scaling Properties for Temperature and Precipitation over ChinaLei Jiang0Liqing Zhao1Zihao Zhao2School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaThe daily air temperature and precipitation records of four meteorological observation stations over China are used to investigate the differences of scaling property employing the detrended fluctuation analysis (DFA) method. The results show that the values in DFA-exponent for temperature are higher than those for precipitation compared by different orders DFA1–3. A 95% significance test is also applied to verify LRCs by resampling the temperature and precipitation records 10000 times in Beijing. The values of scaling exponent from original temperature and precipitation records are larger than the upper range value of the interval threshold after shuffling the data records, which implies there are positive LRCs. For temperature records, the value of scaling exponent calculated by FA is greater than those by DFA1–3 at all four stations. This indicates that the FA curve overestimates the scaling behavior due to the effect of trends. By contrast, the values of scaling exponent in precipitation are almost the same by using FA and DFA1–3 for all time scales, respectively. Furthermore, there are crossovers on short time scales in different orders DFA1–3 for the temperature records, while the slopes keep almost consistent on all time scales for the precipitation records.http://dx.doi.org/10.1155/2017/5761275 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lei Jiang Liqing Zhao Zihao Zhao |
spellingShingle |
Lei Jiang Liqing Zhao Zihao Zhao On the Difference of Scaling Properties for Temperature and Precipitation over China Advances in Meteorology |
author_facet |
Lei Jiang Liqing Zhao Zihao Zhao |
author_sort |
Lei Jiang |
title |
On the Difference of Scaling Properties for Temperature and Precipitation over China |
title_short |
On the Difference of Scaling Properties for Temperature and Precipitation over China |
title_full |
On the Difference of Scaling Properties for Temperature and Precipitation over China |
title_fullStr |
On the Difference of Scaling Properties for Temperature and Precipitation over China |
title_full_unstemmed |
On the Difference of Scaling Properties for Temperature and Precipitation over China |
title_sort |
on the difference of scaling properties for temperature and precipitation over china |
publisher |
Hindawi Limited |
series |
Advances in Meteorology |
issn |
1687-9309 1687-9317 |
publishDate |
2017-01-01 |
description |
The daily air temperature and precipitation records of four meteorological observation stations over China are used to investigate the differences of scaling property employing the detrended fluctuation analysis (DFA) method. The results show that the values in DFA-exponent for temperature are higher than those for precipitation compared by different orders DFA1–3. A 95% significance test is also applied to verify LRCs by resampling the temperature and precipitation records 10000 times in Beijing. The values of scaling exponent from original temperature and precipitation records are larger than the upper range value of the interval threshold after shuffling the data records, which implies there are positive LRCs. For temperature records, the value of scaling exponent calculated by FA is greater than those by DFA1–3 at all four stations. This indicates that the FA curve overestimates the scaling behavior due to the effect of trends. By contrast, the values of scaling exponent in precipitation are almost the same by using FA and DFA1–3 for all time scales, respectively. Furthermore, there are crossovers on short time scales in different orders DFA1–3 for the temperature records, while the slopes keep almost consistent on all time scales for the precipitation records. |
url |
http://dx.doi.org/10.1155/2017/5761275 |
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