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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Synoptic sea-level pressure patterns generated by a general circulation model: Comparison with types derived from NCEP/NCAR re-analysis and implications for downscaling
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Synoptic sea-level pressure patterns generated by a general circulation model: Comparison with types derived from NCEP/NCAR re-analysis and implications for downscaling

机译:由一般环流模型产生的天气海平面压力模式:与从NCEP / NCAR重新分析得出的类型的比较及其对降尺度的影响

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A principal component analysis (PCA)-based synoptic typing scheme is used to assess the ability of the Canadian Centre for Climate Modelling and Analysis (CCCma) Coupled Global Climate Model (CGCM2) to reproduce daily mean-sea-level (MSL) synoptic patterns and their frequencies for the Pacific Northwest region of North America. Model output for the 'control' period 1961-1989 is compared against the climatology based on National Center for Environmental Prediction (NCEP) re-analysis data. Although CGCM2 is able to reproduce the full range and seasonality of 13 synoptic types it significantly under-represents three cold types and over-represents (by about 50%) three warm/wet winter types. This effect is most pronounced in winter months. Differences in frequencies between the CGCM2 runs (1961-1989 climatology and 1990-2100 IPCC SIZES 'A2' greenhouse gases (GHG) and aerosol forcing scenario) are smaller than the differences between NCEP and CGCM2 synoptic type frequencies for the 1961 - 1989 control. Unresolved orographic influences and atmosphere-ocean coupling are cited as possible explanations for model deficiencies. Results suggest that application of CGCM2 output in downscaling studies examining regional impacts should take account of these potential biases. The approach adopted provides a methodology for not only assessing progress in emerging generations of more sophisticated higher resolution General Circulation Models (GCMs) (e.g. CGCM4 is under development), but also choosing the most appropriate model for regional downscaling studies. Copyright (C) 2006 Royal Meteorological Society.
机译:基于主成分分析(PCA)的天气类型分类法用于评估加拿大气候建模与分析中心(CCCma)耦合全球气候模式(CGCM2)再现每日平均海平面(MSL)天气模式的能力及其在北美西北太平洋地区的频率。根据国家环境预测中心(NCEP)的再分析数据,将1961-1989年“控制”时期的模型输出与气候进行了比较。尽管CGCM2能够再现13种天气类型的全部范围和季节性,但它显着低于三种寒冷类型的数量,而过度代表(大约50%)三种温暖/潮湿的冬季类型。在冬季,这种影响最为明显。 CGCM2运行之间的频率差异(1961-1989年气候和1990-2100 IPCC尺寸“ A2”温室气体(GHG)和气溶胶强迫情景)小于NCEP和CGCM2天气类型频率之间1961-1989年控制之间的差异。未解决的地形影响和大气-海洋耦合被认为是模型缺陷的可能解释。结果表明,CGCM2输出在研究区域影响的缩减研究中的应用应考虑到这些潜在的偏见。所采用的方法不仅提供了一种方法,不仅可以评估新兴世代中更先进,更高分辨率的通用流通模型(GCM)的进展(例如,正在开发CGCM4),还可以为区域缩减规模研究选择最合适的模型。版权所有(C)2006皇家气象学会。

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