首页 | 本学科首页   官方微博 | 高级检索  
     检索      

土壤湿度——一个跨季度降水预测中的重要因子及其应用探讨
引用本文:郭维栋,马柱国,王会军.土壤湿度——一个跨季度降水预测中的重要因子及其应用探讨[J].气候与环境研究,2007,12(1):20-28.
作者姓名:郭维栋  马柱国  王会军
作者单位:中国科学院大气物理研究所,北京,100029
基金项目:国家自然科学基金;国家重点基础研究发展计划(973计划);中国科学院基金
摘    要:阐述了土壤湿度对短期气候变化的重要作用,结合我国的业务现状提出亟需将这一因子应用于跨季度降水预测。通过将一个土壤湿度反演模型引入IAP跨季度气候预测系统,探讨了土壤湿度应用于季节降水预测的可行性及其效果。初步的个例分析表明:前期土壤湿度的异常分布对降水变化有较显著的影响,继续改进土壤湿度反演模型可望获得更好的降水预测效果。同时,提出的基于常规气象观测进行反演以获得大范围土壤湿度分布的办法在当前业务预测中具有很强的可操作性。

关 键 词:土壤湿度  短期气候变化  降水预测
文章编号:24354038
修稿时间:11 9 2005 12:00AM

Soil Moisture——An Important Factor of Seasonal Precipitation Prediction and Its Application
GUO Wei Dong,MA Zhu Guo and WANG Hui Jun.Soil Moisture——An Important Factor of Seasonal Precipitation Prediction and Its Application[J].Climatic and Environmental Research,2007,12(1):20-28.
Authors:GUO Wei Dong  MA Zhu Guo and WANG Hui Jun
Institution:Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
Abstract:Necessity of applying soil moisture to seasonal precipitation prediction is emphasized through addressing the importance of soil moisture to short-term climate change.Impacts of soil moisture on seasonal precipitation are studied by introducing a soil moisture retrieving scheme into an operational prediction model. The results show that soil moisture anomaly could exert distinct influence on precipitation change while better precipitation simulation/prediction could be expected with the improvement of retrieved data.It is pointed out in particular that the scheme suggested in this work,which gets regional distribution of soil moisture based only on available observations is easy to be used for operational purpose.
Keywords:soil moisture  short-term climate change  precipitation prediction
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《气候与环境研究》浏览原始摘要信息
点击此处可从《气候与环境研究》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号