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Vertical structure of predictability and information transport over the Northern Hemisphere
Authors:Feng Ai-Xia  Wang Qi-Gang  Gong Zhi-Qiang  Feng Guo-Lin
Institution:a Data Service Office, National Meteorological Information Center, China Meteorological Administration, Beijing 100081, China;b China Meteorological Administration Training Center, China Meteorological Administration, Beijing 100081, China;c Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China
Abstract:Based on nonlinear prediction and information theory,vertical heterogeneity of predictability and information loss rate in geopotential height field are obtained over the Northern Hemisphere.On a seasonal-to-interannual time scale,the predictability is low in the lower troposphere and high in the mid-upper troposphere.However,within mid-upper troposphere over the subtropics ocean area,there is a relatively poor predictability.These conclusions also fit the seasonal time scale.Moving to the interannual time scale,the predictability becomes high in the lower troposphere and low in the mid-upper troposphere,contrary to the former case.On the whole the interannual trend is more predictable than the seasonal trend.The average information loss rate is low over the mid-east Pacific,west of North America,Atlantic and Eurasia,and the atmosphere over other places has a relatively high information loss rate on all-time scales.Two channels are found steadily over the Pacific Ocean and Atlantic Ocean in subtropics.There are also unstable channels.The fourseason influence on predictability and information communication are studied.The predictability is low,no matter which season data are removed and each season plays an important role in the existence of the channels,except for the winter.The predictability and teleconnections are paramount issues in atmospheric science,and the teleconnections may be established by communication channels.So,this work is interesting since it reveals the vertical structure of predictability distribution,channel locations,and the contributions of different time scales to them and their variations under different seasons.
Keywords:geopotential height field  information theory  information loss rate  predictability
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