模拟与从 1982 年 9 月 1 日合并水桌子动力学到 2002 年 8 月 28 日检测降水和温度极端的地区性的气候模型 RegCM 被进行。与观察 rlO 相比(有 降水 10 公里 d 1), RegCM3_Hydro (有考虑的水桌子动力学的地区性的气候模型)的天的数字模仿了雨带,在南部的中国和中间和长江的更低的活动范围包括那些,并且提供了数据为对象在西北的中国的 Heihe 河盆那样的半干旱的区域干旱。RegCM3_Hydro 为 Yangtze,黄,和珀尔河盆显示了 r95p (有比每日的数量的第 95 百分位数大的每日的降水的天) 的一个重要增加趋势,与 r95p 观察一致。Haihe 河盆也被选择为一个特定的盒子在基于的阀值(壶) 上用山峰在极端降水上检测地下水的效果有参数的概括 Pareto 分发(GPD ) 由 L 时刻方法估计了。Quantile 阴谋证明几乎,阴谋的点的一些在斜线和与样品适合很好的建模的数据附近被散布。最后,温度极端上的水表格动力学的效果也被评估。在黄河盆和 Songhuajiang 河盆,当水表格动力学从 1983 ~ 2001 被认为,并且清楚地增加温暖的天的数字时,从 RegCM3_Hydro 的温暖的天(TX95n ) 的数字的趋势更仔细匹配观察价值被检测。
Simulations were conducted with the regional climate model RegCM incorporating water table dynamics from 1 September 1982 to 28 August 2002 to detect precipitation and temperature extremes. Compared with observed r10(number of days with precipitation ≥ 10 mm d^–1), RegCM3_Hydro(the regional climate model with water table dynamics considered) simulated rain belts, including those in southern China and the middle and lower reaches of the Yangtze River, and provided data for arid to semi-arid areas such as the Heihe River Basin in northwestern China. RegCM3_Hydro indicated a significant increasing trend of r95p(days with daily precipitation greater than the 95th percentile of daily amounts) for the Yangtze, Yellow, and Pearl River basins, consistent with r95p observations. The Haihe River Basin was also chosen as a specific case to detect the effect of groundwater on extreme precipitation using peaks over threshold(POT)-based generalized Pareto distribution(GPD) with parameters estimated by the L-moment method. Quantile plots showed that all but a few of the plotted points were distributed near diagonal lines and the modeled data fitted well with the samples. Finally, the effects of water table dynamics on temperature extremes were also evaluated. In the Yellow River Basin and Songhuajiang River Basin, the trends of the number of warm days(TX95n) from RegCM3_Hydro matched observed values more closely when water table dynamics were considered, and clearly increasing numbers of warm days from 1983 to 2001 were detected.