首页> 外文期刊>Climate dynamics >Seasonal prediction skill of ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter
【24h】

Seasonal prediction skill of ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter

机译:北半球冬季ECMWF系统4和NCEP CFSv2回顾性预报的季节性预报技巧

获取原文
获取原文并翻译 | 示例
           

摘要

The seasonal prediction skill for the Northern Hemisphere winter is assessed using retrospective predictions (1982-2010) from the ECMWF System 4 (Sys4) and National Center for Environmental Prediction (NCEP) CFS version 2 (CFSv2) coupled atmosphere-ocean seasonal climate prediction systems. Sys4 shows a cold bias in the equatorial Pacific but a warm bias is found in the North Pacific and part of the North Atlantic. The CFSv2 has strong warm bias from the cold tongue region of the eastern Pacific to the equatorial central Pacific and cold bias in broad areas over the North Pacific and the North Atlantic. A cold bias in the Southern Hemisphere is common in both reforecasts. In addition, excessive precipitation is found in the equatorial Pacific, the equatorial Indian Ocean and the western Pacific in Sys4, and in the South Pacific, the southern Indian Ocean and the western Pacific in CFSv2. A dry bias is found for both modeling systems over South America and northern Australia. The mean prediction skill of 2 meter temperature (2mT) and precipitation anomalies are greater over the tropics than the extra-tropics and also greater over ocean than land. The prediction skill of tropical 2mT and precipitation is greater in strong El Nino Southern Oscillation (ENSO) winters than in weak ENSO winters. Both models predict the year-to-year ENSO variation quite accurately, although sea surface temperature trend bias in CFSv2 over the tropical Pacific results in lower prediction skill for the CFSv2 relative to the Sys4. Both models capture the main ENSO teleconnection pattern of strong anomalies over the tropics, the North Pacific and the North America. However, both models have difficulty in forecasting the year-to-year winter temperature variability over the US and northern Europe.
机译:使用ECMWF系统4(Sys4)和国家环境预测中心(NCEP)CFS版本2(CFSv2)耦合的大气-海洋季节性气候预测系统的回顾性预测(1982-2010)对北半球冬季的季节预测技巧进行了评估。 Sys4在赤道太平洋显示出冷偏斜,但在北太平洋和北大西洋的一部分中发现了暖偏斜。从东太平洋的冷舌地区到赤道中太平洋,CFSv2具有强烈的温暖偏见,而在北太平洋和北大西洋的广大地区,CFSv2具有强烈的偏爱。在这两个预测中,南半球偏冷。此外,Sys4中的赤道太平洋,赤道印度洋和西太平洋以及CFSv2中的南太平洋,南印度洋和西太平洋都发现了过多的降水。在南美和澳大利亚北部的两个建模系统中都发现了干燥偏差。热带地区的2米温度(2mT)和降水异常的平均预测技巧要比热带地区的要大,海洋上方的要比陆地高。在厄尔尼诺南部涛动(ENSO)强的冬季,热带2mT和降水的预测技巧要比在弱ENSO冬季更大。两种模型都非常准确地预测了ENSO的逐年变化,尽管相对于Sys4,CFSv2在热带太平洋上的海面温度趋势偏差导致CFSv2的预测能力较低。这两个模型都捕获了热带,北太平洋和北美洲强烈异常的主要ENSO遥相关模式。但是,这两种模型都难以预测美国和北欧地区冬季的逐年温度变化。

著录项

  • 来源
    《Climate dynamics》 |2012年第12期|2957-2973|共17页
  • 作者单位

    School of Earth and Atmospheric Science, Georgia Institute of Technology, 311 Ferst Dr., Atlanta, GA 30332, USA;

    School of Earth and Atmospheric Science, Georgia Institute of Technology, 311 Ferst Dr., Atlanta, GA 30332, USA;

    School of Earth and Atmospheric Science, Georgia Institute of Technology, 311 Ferst Dr., Atlanta, GA 30332, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号