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Detection of precipitation variability based on entropy over nearly 50years in Xinjiang, northwestern China

Detection of precipitation variability based on entropy over nearly 50years in Xinjiang,... Based on precipitation data of 53 meteorological stations from 1960 to 2008, the entropy method was used to analyze spatial variability of precipitation in Xinjiang, China, over monthly, seasonal, and annual timescales. The spatial distribution of precipitation variability was significantly affected by topography and was zonal on all timescales. The nonparametric Mann-Kendall test was used to analyze changes in the distributions. A precipitation concentration index was developed to categorize the variability of annual precipitation. Summer variability contributed less to annual variability than that of other seasons. Various months contributed to annual mean variability differently across the years. Overall, the variability of precipitation was shown to increase north of Xinjiang, especially in mountainous regions, where the increase was statistically significant (P = 0.05). South of Xinjiang, the variability increased only slightly, consistent with the distribution of precipitation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Theoretical and Applied Climatology Springer Journals

Detection of precipitation variability based on entropy over nearly 50years in Xinjiang, northwestern China

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References (48)

Publisher
Springer Journals
Copyright
Copyright © 2014 by Springer-Verlag Wien
Subject
Earth Sciences; Atmospheric Sciences; Climatology; Atmospheric Protection/Air Quality Control/Air Pollution; Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
ISSN
0177-798X
eISSN
1434-4483
DOI
10.1007/s00704-014-1318-5
Publisher site
See Article on Publisher Site

Abstract

Based on precipitation data of 53 meteorological stations from 1960 to 2008, the entropy method was used to analyze spatial variability of precipitation in Xinjiang, China, over monthly, seasonal, and annual timescales. The spatial distribution of precipitation variability was significantly affected by topography and was zonal on all timescales. The nonparametric Mann-Kendall test was used to analyze changes in the distributions. A precipitation concentration index was developed to categorize the variability of annual precipitation. Summer variability contributed less to annual variability than that of other seasons. Various months contributed to annual mean variability differently across the years. Overall, the variability of precipitation was shown to increase north of Xinjiang, especially in mountainous regions, where the increase was statistically significant (P = 0.05). South of Xinjiang, the variability increased only slightly, consistent with the distribution of precipitation.

Journal

Theoretical and Applied Climatology – Springer Journals

Published: Nov 26, 2014

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