首页> 外文期刊>Weather and forecasting >Relative merit of model improvement versus availability of retrospective forecasts: The case of climate forecast system MJO prediction
【24h】

Relative merit of model improvement versus availability of retrospective forecasts: The case of climate forecast system MJO prediction

机译:模型改进与回顾性预测的相对优势:气候预测系统MJO预测的案例

获取原文
获取原文并翻译 | 示例
           

摘要

Retrospective forecasts of the new NCEP Climate Forecast System (CFS) have been analyzed out to 45 days from 1999 to 2009 with four members (0000, 0600, 1200, and 1800 UTC) each day. The new version of CFS [CFS, version 2 (CFSv2)] shows significant improvement over the older CFS [CFS, version 1 (CFSv1)] in predicting the Madden-Julian oscillation (MJO), with skill reaching 2-3 weeks in comparison with the CFSv1's skill of nearly 1 week. Diagnostics of experiments related to the MJO forecast show that the systematic error correction, possible only because of the enormous hindcast dataset and the ensemble aspects of the prediction system (4 times a day), do contribute to improved forecasts. But the main reason is the improvement in the model and initial conditions between 1995 and 2010.
机译:新的NCEP气候预测系统(CFS)的回顾性预测已分析了1999年至2009年的45天,每天有四个成员(0000、0600、1200和1800 UTC)。新版本的CFS [CFS,版本2(CFSv2)]在预测Madden-Julian振荡(MJO)方面比旧的CFS [CFS,版本1(CFSv1)]有了显着改进,技能达到2-3周拥有将近1周的CFSv1技能。与MJO预测有关的实验诊断表明,仅由于庞大的后播数据集和预测系统的集成方面(每天4次)才有可能进行系统错误校正,确实有助于改善预测。但主要原因是1995年至2010年期间模型和初始条件的改进。

著录项

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