...
首页> 外文期刊>Atmospheric and oceanic science letters >Assessing the Seasonal Predictability of Summer Precipitation over the Huaihe River Basin with Multiple APCC Models
【24h】

Assessing the Seasonal Predictability of Summer Precipitation over the Huaihe River Basin with Multiple APCC Models

机译:利用多种APCC模型评估淮河流域夏季降水的季节可预报性

获取原文
           

摘要

Seasonal rainfall predictability over the Huaihe River basin is evaluated in this paper on the basis of 23-year (1981-2003) retrospective forecasts by 10 Climate models from the Asia-Pacific Economic Cooperation (APEC) Climate Center (APCC) multi-model ensemble (MME) prediction system. It is found that the summer rainfall variance in this basin is largely internal, which leads to lower rainfall predictability for most individual climate models. By dividing the 10 models into three categories according to their sea surface temperature (SST) boundary conditions including observed, predicted, and persistent SSTs, the MME deterministic predictive skill of summer rainfall over Huaihe River basin is investigated. It is shown that the MME is effective for increasing the current seasonal forecast skill. Further analysis shows that the MME averaged over predicted SST models has the highest rainfall prediction skill, which is closely related to model's capability in reproducing the observed dominant modes of the summer rainfall anomalies in Huaihe River basin. This result can be further ascribed to the fact that the predicted SST MME is the most effective model ensemble for capturing the relationship between the summer rainfall anomalies over Huaihe River basin and the SST anomalies (SSTAs) in equatorial oceans.
机译:本文基于亚太经济合作组织(APEC)气候中心(APCC)多模式合奏团的10种气候模型,对23年(1981-2003年)的回顾性预报,对淮河流域的季节性降雨可预报性进行了评估。 (MME)预测系统。结果发现,该流域的夏季降雨量变化主要是内部的,这导致大多数个别气候模型的降雨可预报性较低。通过将10个模型根据其海表温度(SST)边界条件分为观测,预测和持续SSTs三类,研究了MME对淮河流域夏季降水的确定性预测技术。结果表明,MME对于提高当前的季节预报技能有效。进一步的分析表明,在预测的SST模型上平均的MME具有最高的降雨预报技巧,这与该模型再现淮河流域夏季降雨异常的主导模式的能力密切相关。这个结果可以进一步归因于这样一个事实,即预测的海表温度MME是捕捉淮河流域夏季降水异常与赤道海海表温度异常(SSTA)之间关系的最有效模型集合。

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