Title :
Spatiotemporal characteristics of the vertical structure of predictability over the Northern Hemisphere
Author :
Aixia Feng ; Qiguang Wang ; Zhiqiang Gong ; Guolin Feng
Author_Institution :
Coll. of Phys. Sci. & Technol., Yangzhou Univ., Yangzhou, China
Abstract :
Based on nonlinear prediction and NCEP/NCAR monthly multi-level geopotential heights, spatial heterogeneity of predictability was obtained over the Northern Hemisphere. On the whole, the predictability is high in continental and higher levels and low in oceans and lower levels from seasonal to interannual timescale. The predictability of the seasonal time scale is similar with the seasonal to interannual timescale. When it goes to the interannual time scale, the predictability becomes high in lower troposphere and low in mid-upper troposphere contrary to the formers. And on the whole the interannual trend is more predictable than the seasonal trend. The strength of the seasonal cycle plays a great role in the heterogeneity of predictability which is proved true by spectrum analysis. Other reasons maybe the properties of the atmospheric air, topographic forcing and timescale interactions.
Keywords :
sea level; troposphere; weather forecasting; Northern Hemisphere; atmospheric air property; interannual timescale; interannual trend; lower troposphere; mid-upper troposphere; multilevel geopotential heights; nonlinear prediction; ocean level; predictability spatial heterogeneity; predictability vertical structure; seasonal time scale; seasonal trend; spatiotemporal characteristics; spectrum analysis; timescale interactions; topographic forcing; Atmospheric modeling; Correlation; Meteorology; Ocean temperature; Terrestrial atmosphere; Time series analysis; geopotential height; predictability; seasonal cycle;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022554