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Simulation of Indian summer monsoon: sensitivity to cumulus parameterization in a GCM

机译:印度夏季风模拟:对GCM中积云参数化的敏感性

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摘要

Hindcasts for the Indian summer monsoons (ISMS) of 2002 and 2003 have been produced from a series of numerical Simulations performed with a general circulation model using different cumulus parameterization schemes. Ten sets of ensemble simulations have been produced without using any vegetation scheme but by prescribing the monthly observed SST from the ECMWF (European Centre for Medium Range Weather Forecasts) analyses. For each ensemble, ten simulations have been realised with different initial conditions that are also prepared from the ECMWF data: five each from the April and May analyses of both the years. Stream function, velocity potential with divergent winds at 200 hPa, winds at 850 hPa and rainfall patterns with their anomalies have been analysed and interpreted. The large-scale upper and lower level circulation features are simulated satisfactorily. The spatial structure of predicted July monsoon rainfall over India shows a fair agreement with the GPCP (observed) pentad rainfall distribution. The variability associated with all-India June-July simulated rainfall time series matches reasonably well with the observations in 2003, but the model fails to simulate the observed variability in July 2002. Further evaluation of the model-produced precipitation in seasonal simulations is done with the help of empirical orthogonal functions (EOFs) of the GPCP rainfall over India. Since the first four EOFs explain a significant part of the total variance of the observed rainfall, the simulated precipitation is projected on to these modes. Thus, the differences in simulated and observed rainfall fields manifest in the time series of their expansion coefficients, which are utilised for inter-comparison/evaluation of model simulations. (C) 2006 Royal Meteorological Society
机译:2002年和2003年印度夏季风(ISMS)的后播是通过一系列数值模拟得出的,这些数值模拟是使用不同的积云参数化方案通过常规循环模型进行的。在不使用任何植被方案的情况下,通过规定ECMWF(欧洲中距离天气预报中心)每月观测到的SST,已经制作了十组整体模拟。对于每个合奏,已经通过ECMWF数据准备了具有不同初始条件的十个模拟:分别来自这两个年份的四月和五月分析中的五个。分析和解释了河流功能,200 hPa的发散风的速度势,850 hPa的风和降雨模式及其异常。令人满意地模拟了大规模的上,下层循环特征。印度7月季风降水的空间结构与GPCP(观测到的)五单元组雨量分布具有明显的一致性。与全印度6月至7月模拟的降雨时间序列相关的变异性与2003年的观测值相当吻合,但该模型未能模拟2002年7月的观测变异性。 GPCP降雨在印度的经验正交函数(EOF)的帮助。由于前四个EOF解释了所观测降水总方差的很大一部分,因此将模拟降水投影到这些模式上。因此,模拟降雨场和观测降雨场的差异体现在其膨胀系数的时间序列中,这些膨胀系数用于模型模拟的相互比较/评估。 (C)2006皇家气象学会

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