Spatial and temporal trends of climate change in Xinjiang, China

Abstract

Temperature and precipitation time series datasets from 1961 to 2005 at 65 meteorological stations were used to reveal the spatial and temporal trends of climate change in Xinjiang, China. Annual and seasonal mean air temperature and total precipitation were analyzed using Mann-Kendall (MK) test, inverse distance weighted (IDW) interpolation, and R/S methods. The results indicate that: (1) both temperature and precipitation increased in the past 45 years, but the increase in temperature is more obvious than that of precipitation;(2) for temperature increase, the higher the latitude and the higher the elevation the faster the increase, though the latitude has greater influence on the increase. Northern Xinjiang shows a faster warming than southern Xinjiang, especially in summer; (3) increase of precipitation occurs mainly in winter in northern Xinjiang and in summer in southern Xinjiang. Ili, which has the most precipitation in Xinjiang, shows a weak increase of precipitation; (4) although both temperature and precipitation increased in general, the increase is different inside Xinjiang; (5) Hurst index (H) analysis indicates that climate change will continue the current trends.

The Decoupling of Resource Consumption and Environmental Impact from Economic Growth in China: Spatial Pattern and Temporal Trend

“…The value of H could be obtained by using the rescaled range statistic (R/S) analysis, which is a fractal theory for time series research and has been widely applied in geography, geology, climate change, economics, and other fields [37,[41][42][43]. The first step for calculating the Hurst exponents is to calculate the GDP elasticity of each indicator year-by-year (Supplementary Materials Tables S1-S5).…”

Effects of Precipitation Intensity and Temperature on NDVI-Based Grass Change over Northern China during the Period from 1982 to 2011

“…In some pixels of northwest of NW, the correlation values between light precipitation and grass NDVI are higher than those between heavy or moderate precipitation and grass NDVI, which indicated that light precipitation has stronger impact than moderate or heavy precipitation. The reason is that annual total precipitation in the region was mostly less than 150 mm and heavy precipitation is rare [61], but same threshold values (compared to the entire RAA) for defining precipitation intensity levels were used. Table 2.…”

Trends, Periodicities and Discontinuities of Precipitation in the Huangfuchuan Watershed, Loess Plateau, China

“…This study provided insights into the dynamic relationship between the dominant modes of climate variation in the northern hemisphere and seasonal precipitation. Li et al 2 evaluated the variation in seasonal and annual precipitation using the Hurst exponent and Mann-Kendall (MK) test methods in Xinjiang, China. Xue et al 3 decomposed the autumn precipitation series in the Weihe River Basin, China, using the ensemble empirical mode decomposition (EEMD) method and determined the precipitation periodicity characteristics at various scales.…”

“…The Huangfuchuan River has a length of 137 km and the watershed area is 3246 km 2 . The annual precipitation is 350-450 mm, and >80% of the precipitation falls during the period JuneSeptember.…”

“…Here, Hurst exponent analysis is used to study future precipitation trends. The Hurst index (H) has the ability to project future time-series trends according to past trends; it has been used to predict hydrological and climatological processes 2,23 . H ranges between 0 and 1.…”