Changes in precipitation extremes in alpine areas of the Chinese Tianshan Mountains, central Asia, 1961–2011

Changes in precipitation extremes in Southeastern Tibet, China

“…Several studies have reported that the majority of precipitation indices are correlated with the annual total precipitation, indicating that annual total precipitation is well correlated with extreme precipitation (Han and Gong, 2003;You et al, 2011;Wang et al, 2013aWang et al, , 2013c. Table 8 shows that the correlation coefficient between consecutive wet days (CWD) and total precipitation is o.40 (p < 0.05), and that the others also exceeds 0.57 (p < 0.001) except for consecutive dry days.…”

Factors controlling stable isotope composition of precipitation in arid conditions: an observation network in the Tianshan Mountains, central Asia

“…On the southern slope, annual precipitation is approximately 50Á100 mm in the western and middle portions and B50 mm in the eastern portion (Zhang and Zhang, 2006). For most stations in the study region, precipitation is concentrated over the summer months from April to October (Wang et al, 2013;Zhu et al, 2015), and during the drier winter months from November to March commonly falls as snow (Figs. 1b and 2).…”

“…The data set has been widely used in climate studies of the study region (e.g. Wang et al, 2013), and the details of data assimilation and precision were described by NMIC (2012a, b Bowen and Revenaugh (2003), Liu et al (2008) and van der Veer et al (2009).…”

Comparison of monthly precipitation derived from high-resolution gridded datasets in arid Xinjiang, central Asia

“…An assessment report of this dataset shows root-meansquare error (RMSE) ranges between 0.2 and 0.8 mm on a monthly basis, and more information about the calculation procedure is also described by NMIC (NMIC, 2012;Zhao et al, 2014). According to our previous studies (Wang et al, 2013c;Ren et al, 2015), this dataset can describe the spatial and seasonal patterns of precipitation in China. In this study, this dataset is applied as the observation data.…”