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Leading indicators of atmospheric circulation characteristics on rice planthopper occurrence in China.

YU Cai-xia1, HUO Zhi-guo1,2**, ZHANG Lei3, XIAO Jing-jing4, LU Xiao-feng5, WU Li1   

  1. (1Chinese Academy of Meteorological Sciences, Beijing 100081, China; 2Collaborative Innovation Center of Meteorological Disaster Forecast, EarlyWarning and Assessment, Nanjing University of Information Science & Technology, Nanjing 210044; 3National Meteorological Center, Beijing 100081, China; 4Zhejiang Climate Center, Hangzhou 310017, China; 5Guangxi Meteorological Service Center, Nanning 530022, China)
  • Online:2014-04-10 Published:2014-04-10

Abstract: According to rice planthopper occurrence area ratio, occurrence degree data from 1971 to 2010, a new factor was defined as occurrence index, reflecting the comprehensive damage degree of rice planthopper. Based on  74 atmospheric circulation characteristics data from month to month in 1970-2010, all possible combinations of circulation characteristics were constructed by factor puffing. By means of correlation analysis,  leading indicators of national rice planthopper occurrence rank in early February, April and June was established. The results showed that rank indicating factors of national rice planthopper occurrence area ratio included the area index of western pacific subtropical anticyclone, the ridge line of south China sea subtropical anticyclone, the northern hemisphere polar vortex intensity index and India-Burma trough. The rank indicating factors of national planthopper occurrence degree included the northern boundary of Pacific subtropical anticyclone, Asian zonal circulation index, Asian trough intensity, and sun spots. The rank indicating factors of national planthopper occurrence index included the intensity index of northern hemisphere subtropical anticyclone, the northern hemisphere polar vortex intensity index, Atlantic European type circulation index and Tibet Plateau index. The values of rank indicators had great differences in light, partially light, partially heavy, and heavy ranks. Rank indicators had a good indication for planthopper occurrence rank, which can provide a scientific basis for long-term forecasting of rice planthopper.

Key words: soil iron oxide, hyperspectral, inversion, remote, subtropical area