首页> 外文期刊>Quarterly Journal of the Royal Meteorological Society >Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models
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Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models

机译:三种运营气候预测模型对原发东亚洲夏季循环模式的季节性可预测性

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摘要

Seasonal predictability of the Primary East-Asian Summer Circulation Patterns (PEASCPs), including the Western Pacific Subtropical High (WPSH), South Asian High (SAH), anomalous Philippine Sea AntiCyclone (PSAC) and East Asian Summer Monsoon (EASM), are investigated by using the hindcasts from the three operational climate prediction models, including BCC_CSM1.1(m), NCEP CFSv2 and ECMWF System 4. We show that prediction skills of the indices for representing these PEASCPs are sensitive to the initial calendar month of model prediction, and the ensemble mean of the three models provides relatively higher and more stable skills than forecasts from an individual model. In general, the indices of intensity and area have high prediction skills while the position indices have relatively low skills. Specifically, the skills of the WPSH intensity, area, SAH centre intensity, PSAC and EASM are higher, while the skills of the WPSH western boundary and SAH centre latitude are lower, and the skills of WPSH ridge line and SAH centre longitude are the lowest. Further analysis shows that the El Nino/Southern Oscillation (ENSO) has a large contribution to these prediction skills, and these patterns of atmospheric circulation anomalies in response to ENSO can be well captured by models, which is the major predictability source of the skills.
机译:调查了主要东亚夏季循环模式(PEASCPS)的季节性可预测性,包括西太平洋亚热带高(WPSH),南亚高(SAH),异常菲律宾海藤通(PSAC)和东亚夏季季风(EASM)。通过使用来自三个操作气候预测模型的Hindcasts,包括BCC_CSM1.1(M),NCEP CFSv2和ECMWF系统4.我们表明代表这些PEASCPS的指标的预测技能对模型预测的初始日历月来敏感,这三种模型的集合均值提供比单个模型的预测比预测更高更稳定的技能。通常,强度和区域的指标具有高预测技能,而位置指数具有相对较低的技能。具体而言,WPSH强度,区域,SAH中心强度,PSAC和EASM的技能较高,而WPSH西部边界和SAH中心纬度的技能则较低,WPSH脊线和SAH中心经度的技能是最低的。进一步的分析表明,EL Nino / Southern振荡(ENSO)对这些预测技能具有很大的贡献,并且这些大气循环异常的模式可以通过模型拍摄,这是技能的主要可预测性来源。

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