[1]LUO Nana,BAKE Batur,WU Yanfeng.Precipitation Multi-Scale Characteristics by Ensemble Empirical Mode Decomposition in Northern Xinjiang[J].Research of Soil and Water Conservation,2017,24(04):362-367.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
24
Number of periods:
2017 04
Page number:
362-367
Column:
Public date:
2017-08-28
- Title:
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Precipitation Multi-Scale Characteristics by Ensemble Empirical Mode Decomposition in Northern Xinjiang
- Author(s):
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LUO Nana1, BAKE Batur1, WU Yanfeng2
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1. College of Grassland and Environmental Science, Xinjiang Agricultural University, Urumqi 830052, China;
2. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130102, China
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- Keywords:
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empirical mode decomposition; multi-scale changes; regional differences; northern Xinjiang
- CLC:
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P46
- DOI:
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- Abstract:
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Multi-scale characteristics of precipitation were analyzed by ensemble empirical mode decomposition (EEMD) by using monthly precipitation data of forty-two meteorological stations from 1961 to 2012. The results showed that rainfall experienced significant multi-scale characteristics, i.e., variability with 5 years and 8 years periodic patterns for inter-annual scale of 10-year and 30-year periodic patterns for inter-decadal scale. Precipitation tended to decline before the 1985s and increased after that. Moreover, increasing amplitude of precipitation in the later period was greater than the decreasing amplitude in the earlier period. Multi-scale analysis indicated that annual precipitation presented the increasing trend in north Xinjiang. Ensemble empirical mode decomposition (EEMD) method is suitable for non-linear and non-stationary signal analysis. This method can work on nature signals (non-linear and nonstationary signals) and reduce the speckle noise.