Characteristics of the spatiotemporal distribution of daily extreme temperature events in China: Minimum temperature records in different climate states against the background of the most probable temperature

Abstract

Based on the skewed function, the most probable temperature is defined and the spatiotemporal distributions of the frequencies and strengths of extreme temperature events in different climate states over China are investigated, where the climate states are referred to as State I, State II and State III, i.e., the daily minimum temperature records of 1961–1990, 1971–2000, and 1981–2009. The results show that in space the frequency of high temperature events in summer decreases clearly in the lower and middle reaches of the Yellow River in State I and that low temperature events decrease in northern China in State II. In the present state, the frequency of high temperature events increases significantly in most areas over China except the north east, while the frequency of low temperature events decreases mainly in north China and the regions between the Yangtze River and the Yellow River. The distributions of frequencies and strengths of extreme temperature events are consistent in space. The analysis of time evolution of extreme events shows that the occurrence of high temperature events become higher with the change in state, while that of low temperature events decreases. High temperature events are becoming stronger as well and deserve to be paid special attention.

Sensitivity of simulated extreme precipitation and temperature to convective parameterization using RegCM3 in China

“…As a result, the changes in both precipitation and temperature extremes are observed globally (Alexander et al 2006;Choi et al 2009;Goswami et al 2010;Haylock and Nicholls 2000;Hegerl et al 2004;Manton et al 2001;Moberg and Jones 2005;Moberg et al 2006;Tank et al 2006;Yan et al 2002). For monsoon China, the climate extreme events and their variances are analyzed systematically (Dong et al 2011;Du et al 2013;Fan et al 2012;Gong et al 2004;Hu et al 2012;Li and Wang 2012;Qian et al 2012;Su et al 2006;Tian et al 2012;Wang et al 2012;Xu et al 2011;Zhai et al 2005;Zhang et al 2011). In East China, the significant inter-decadal change of the precipitation extremes was detected over past 50 years , and more precipitation extremes occurred during past 20 years (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009) (Li and Wang 2012).…”

Extra-seasonal prediction of summer 500-hPa height field in the area of cold vortices over East Asia with a dynamical-statistical method

“…In addition, with the further enrichment of historical data and constant improvement of numerical models, historical data may more effectively describe the actual atmosphere state in the prediction period, while numerical models can also provide a greater amount of useful information, so that the DSP method may be used more widely. [33][34][35][36]…”

The Spatial Transformation Process and Critical Time Node Detection in Global Extreme High Temperature Clusters

“…Russo et al (2014) considered three periods (1980-2012, 2022-2054, and 2068-2100) to analyze the spatial patterns of global EHTs. Qian et al (2012) also considered three climatic stages (1961-1990, 1971-2000, and 1981-2009) to analyze the spatial and temporal distributions of EHTs in China. These time discontinuous analyses of spatiotemporal distribution make it impossible to objectively detect spatial transformation process of the EHT aggregation area and the key time node of EHT transformation.…”