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首页> 外文期刊>Journal of Climate >Ocean Forcing to Changes in Global Monsoon Precipitation over the Recent Half-Century
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Ocean Forcing to Changes in Global Monsoon Precipitation over the Recent Half-Century

机译:近半个世纪海洋强迫全球季风降水变化

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摘要

Previous examination of changes in global monsoon precipitation over land reveals an overall weakening over the recent half-century (1950-2000). The present study suggests that this significant change in global land monsoon precipitation is deducible from the atmosphere's response to the observed SST variations. When forced by historical sea surface temperatures covering the same period, the ensemble simulation with the NCAR Community Atmosphere Model, version 2 (CAM2) model successfully reproduced the weakening tendency of global land monsoon precipitation. This decreasing tendency was mainly caused by the warming trend over the central-eastern Pacific and the western tropical Indian Ocean. At the interannual time scale, the global land monsoon precipitation is closely correlated with ENSO. The simulated interannual variation of the global land monsoon index matches well with the observation, indicating that most monsoon precipitation variations arise from the ocean forcing. There are uncertainties between the GPCP and the CMAP data in describing the evolution of global ocean monsoon precipitation. There is very little correspondence between the simulated and the observed global monsoon index over the ocean area. Uncertainties in the satellite data and model deficiencies in describing the ocean monsoon domain are partly to blame. Among the components of global monsoon systems, the Asian-Australian monsoon system has the lowest reproducibility with prescribed SST forcing due to the neglect of air-sea feedback.
机译:先前对全球季风降水在陆地上变化的研究表明,在最近的半个世纪(1950-2000年)中,总体上有所减弱。本研究表明,全球大气季风降水的这一显着变化可从大气对观测到的海温变化的响应中推断出来。当受同期历史海表温度的强迫时,使用NCAR社区大气模型第2版(CAM2)模型进行的集成模拟成功地再现了全球陆地季风降水的减弱趋势。这种下降趋势主要是由于中东部太平洋和西部热带印度洋的变暖趋势引起的。在年际尺度上,全球陆地季风降水与ENSO密切相关。全球陆地季风指数的模拟年际变化与观测值吻合得很好,表明大多数季风降水变化都来自海洋强迫。在描述全球海洋季风降水的演变过程中,GPCP和CMAP数据之间存在不确定性。海洋区域模拟和观测到的全球季风指数之间几乎没有对应关系。部分归因于卫星数据的不确定性和描述海洋季风域的模型缺陷。在全球季风系统的各个组成部分中,由于忽略了海气反馈,在规定的SST强迫下,亚澳季风系统的可重复性最低。

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